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Today, Core Scientific and CoreWeave announced a $1.2 billion expansion at Core Scientific's Denton, Texas site. -Core Scientific and CoreWeave announce 70-megawatt (MW) expansion at the Denton, TX site -Expands to ~ 590 MW of contracted HPC infrastructure across 6 sites -Boosts total projected revenue to $10.2 billion over...

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Core Scientific

21,463 subscribers

21,180 次观看 • 1 年前 •via X (Twitter)

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7 条评论

Satish P 的头像
Satish P1 年前

@CoreWeave Wow what a way to dismiss the contract removal fears! @_Adam_Sullivan1

Range ETFs 的头像
Range ETFs1 年前

Nuclear power is no longer the future; it’s the present. Get exposure to cutting-edge nuclear companies poised to lead the charge in safe, efficient, and low-carbon energy production. Consider $NUKZ for your gateway to sustainable energy investments.

CleanHoDL ✨🔶 的头像
CleanHoDL ✨🔶1 年前

@CoreWeave Well done 👍 Bullish for $CORZ 🤝

maxxTFSA 的头像
maxxTFSA1 年前

@CoreWeave Bullish

Darin Feinstein 的头像
Darin Feinstein1 年前

@CoreWeave 👏👏👏👏👏

Harry Lie 的头像
Harry Lie1 年前

@CoreWeave LFG

JC 的头像
JC1 年前

@CoreWeave Capture more of that Mag 7 budget / pioneers. Revolution on par w Ag and industrial once we look back ✊

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Today, Core Scientific and Block announced an ongoing project involving Block’s latest bitcoin mining chip. -Core Scientific and Block will work together on a new miner to democratize Bitcoin mining -Block to supply Core Scientific with ~15 EH/s of new 3 nanometer ASIC mining chips -Core Scientific is the first large-scale miner to procure Block's new ASIC mining technology “We have worked closely with the team at Block to develop the next generation of mining technology that not only helps support our significant hashrate growth plans within our existing infrastructure, but also provides all mining companies with more miner options. Together, Block and Core Scientific are working to define a new paradigm for scaled Bitcoin mining, one designed to deliver important operational benefits while contributing to the longevity and vitality of the Bitcoin Network.” - $CORZ Chief Development Officer Russell Cann Read the full press release:
0:29

Today, Core Scientific and Block announced an ongoing project involving Block’s latest bitcoin mining chip. -Core Scientific and Block will work together on a new miner to democratize Bitcoin mining -Block to supply Core Scientific with ~15 EH/s of new 3 nanometer ASIC mining chips -Core Scientific is the first large-scale miner to procure Block's new ASIC mining technology “We have worked closely with the team at Block to develop the next generation of mining technology that not only helps support our significant hashrate growth plans within our existing infrastructure, but also provides all mining companies with more miner options. Together, Block and Core Scientific are working to define a new paradigm for scaled Bitcoin mining, one designed to deliver important operational benefits while contributing to the longevity and vitality of the Bitcoin Network.” - $CORZ Chief Development Officer Russell Cann Read the full press release:

Core Scientific

513,084 次观看 • 2 年前

AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale
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AI INFRASTRUCTURE/ENERGY DEMAND STOCKS TO KEEP ON WATCH FOR 2026 Ex-CEO $GOOGL Eric Schmidt on energy demand driven by AI: "We need energy and the numbers are profound. What we need from you is energy in all forms. People are planning 10 gigawatt data centers" $IREN: owns and develops vertically integrated data centers for hyperscalers $CIFR: large power footprint, 3.4 GW pipeline for AI workloads + HPC $WULF: high capacity, low cost data center expansion across Texas and New York $NBIS: AI compute and cloud services translating energy into revenue $CLSK: America’s Bitcoin Miner transitioning to AI infrastructure with a massive power footprint across 30+ data center sites $BITF: owns and operates power sites positioned for AI workloads, yet to sign with a hyperscaler but could come this year $GLXY: multi-gigawatt data center infrastructure at scale

Small Cap Snipa

116,034 次观看 • 6 个月前

Deep inside a Norwegian mountain lies one of the most unusual HPC environments in the world: Lefdal Mine DC, where cold seawater siphoned from a nearby fjord cools dense GPU clusters designed for large-scale AI workloads. HRT’s deployment at Lefdal includes DLC racks operating above 125 kW per cabinet, integrated with high-speed interconnects and bespoke storage systems designed to power our cutting-edge quantitative research. In our latest video, we take a look inside the mine at our next-gen HPC and networking infrastructure:
0:45

Deep inside a Norwegian mountain lies one of the most unusual HPC environments in the world: Lefdal Mine DC, where cold seawater siphoned from a nearby fjord cools dense GPU clusters designed for large-scale AI workloads. HRT’s deployment at Lefdal includes DLC racks operating above 125 kW per cabinet, integrated with high-speed interconnects and bespoke storage systems designed to power our cutting-edge quantitative research. In our latest video, we take a look inside the mine at our next-gen HPC and networking infrastructure:

Hudson River Trading

159,827 次观看 • 4 个月前

Greg Brockman, President of OpenAI, said there is not enough compute in the world to satisfy AI demand, and OpenAI itself cannot launch products it has already built because it cannot find the infrastructure to run them (Save this). OpenAI is spending $50 billion on compute in 2026 alone and it still is not enough. That is the setup but here is the trade. Nebius is one of the most asymmetric infrastructure plays in public markets right now, and most people have never heard of it. Q1 2026 revenue came in at $399 million, up 684% year over year, with AI cloud revenue specifically growing 841% in a single quarter. The company entered 2026 with an exit ARR of $1.25 billion and is targeting $7 to $9 billion by year end, a number that would make it one of the fastest revenue ramps in the history of public infrastructure companies. The contracted backlog sits at $50 billion anchored by a $17.4 billion agreement with Microsoft through 2031 and a $27 billion five-year deal with Meta. They are decade-scale infrastructure commitments from the two largest enterprise AI spenders on earth, signed before the demand curve has even reached its steepest point. Nvidia took a direct equity stake in Nebius, one of only two neoclouds it has invested in alongside CoreWeave. That relationship is not just financial but rather means Nebius gets preferential access to GPU allocation at a moment when every lab and every hyperscaler is competing for the same constrained supply. Contracted power capacity now exceeds 3.5 gigawatts, with expansion plans targeting 5 to 6 GW by mid-2029. And power is the other binding constraint in AI infrastructure, you cannot build a data center without it and Nebius has already secured the capacity that competitors are still fighting to acquire. At full ramp, analysts project revenue in the $15 to $25 billion range by 2029, against a current market cap the contracted backlog alone already dwarfs. Come join Milk Road Pro and get our full Nebius deep-dive, the exact price levels we are watching, how we are sizing the position against the backlog and power capacity timeline, and our full AI thesis. link below!
1:00

Greg Brockman, President of OpenAI, said there is not enough compute in the world to satisfy AI demand, and OpenAI itself cannot launch products it has already built because it cannot find the infrastructure to run them (Save this). OpenAI is spending $50 billion on compute in 2026 alone and it still is not enough. That is the setup but here is the trade. Nebius is one of the most asymmetric infrastructure plays in public markets right now, and most people have never heard of it. Q1 2026 revenue came in at $399 million, up 684% year over year, with AI cloud revenue specifically growing 841% in a single quarter. The company entered 2026 with an exit ARR of $1.25 billion and is targeting $7 to $9 billion by year end, a number that would make it one of the fastest revenue ramps in the history of public infrastructure companies. The contracted backlog sits at $50 billion anchored by a $17.4 billion agreement with Microsoft through 2031 and a $27 billion five-year deal with Meta. They are decade-scale infrastructure commitments from the two largest enterprise AI spenders on earth, signed before the demand curve has even reached its steepest point. Nvidia took a direct equity stake in Nebius, one of only two neoclouds it has invested in alongside CoreWeave. That relationship is not just financial but rather means Nebius gets preferential access to GPU allocation at a moment when every lab and every hyperscaler is competing for the same constrained supply. Contracted power capacity now exceeds 3.5 gigawatts, with expansion plans targeting 5 to 6 GW by mid-2029. And power is the other binding constraint in AI infrastructure, you cannot build a data center without it and Nebius has already secured the capacity that competitors are still fighting to acquire. At full ramp, analysts project revenue in the $15 to $25 billion range by 2029, against a current market cap the contracted backlog alone already dwarfs. Come join Milk Road Pro and get our full Nebius deep-dive, the exact price levels we are watching, how we are sizing the position against the backlog and power capacity timeline, and our full AI thesis. link below!

Milk Road AI

14,578 次观看 • 1 个月前

We’re committed to creating new opportunity for people and businesses on both sides of the Atlantic, and ensuring America remains a trusted and reliable tech partner for the United Kingdom. That’s why today we announced a $30 billion investment in the UK over four years, including building the country's largest supercomputer with over 23,000 of the world’s most advanced GPUs, to expand the digital infrastructure that will bring our two nations even closer together.
4:00

We’re committed to creating new opportunity for people and businesses on both sides of the Atlantic, and ensuring America remains a trusted and reliable tech partner for the United Kingdom. That’s why today we announced a $30 billion investment in the UK over four years, including building the country's largest supercomputer with over 23,000 of the world’s most advanced GPUs, to expand the digital infrastructure that will bring our two nations even closer together.

Satya Nadella

288,320 次观看 • 10 个月前

Today marks a pivotal moment for Isomorphic Labs. We have secured $2.1 Billion in our second external funding round, led by Thrive Capital. They are joined at the table by Alphabet, GV and new investors MGX, Temasek, CapitalG and the UK Sovereign AI Fund. This milestone accelerates our ability to build the pioneering novel AI models that power our AI drug design engine (IsoDDE) and deploy them at scale: delivering scientific breakthroughs with a precision previously thought impossible, accelerating and expanding our pipeline of therapeutic programs toward the clinic. All with the ultimate goal of delivering life-changing new medicines to patients. Moving forward, we will scale our drug candidate pipelines across multiple therapeutic areas, expand our global footprint, and push the boundaries of frontier AI research to power our drug design engine. Deeply grateful to everyone sharing our vision to solve all disease with AI. Let’s build the future of medicine. Read the full announcement here:
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Today marks a pivotal moment for Isomorphic Labs. We have secured $2.1 Billion in our second external funding round, led by Thrive Capital. They are joined at the table by Alphabet, GV and new investors MGX, Temasek, CapitalG and the UK Sovereign AI Fund. This milestone accelerates our ability to build the pioneering novel AI models that power our AI drug design engine (IsoDDE) and deploy them at scale: delivering scientific breakthroughs with a precision previously thought impossible, accelerating and expanding our pipeline of therapeutic programs toward the clinic. All with the ultimate goal of delivering life-changing new medicines to patients. Moving forward, we will scale our drug candidate pipelines across multiple therapeutic areas, expand our global footprint, and push the boundaries of frontier AI research to power our drug design engine. Deeply grateful to everyone sharing our vision to solve all disease with AI. Let’s build the future of medicine. Read the full announcement here:

Isomorphic Labs

280,560 次观看 • 2 个月前

In commemoration of the Mawson Infrastructure Group (NASDAQ: MIGI)’s recent successes and accomplishments, Rahul Mewawalla, CEO and President of Mawson Infrastructure Group, joined by the Company’s board of directors and members of the Company’s management team, was invited to ring the closing bell at NASDAQ. Rahul Mewawalla, CEO and President said, “In recognition of our recent accomplishments and recognizing our innovative approach towards digital infrastructure platforms, we are pleased to ring Nasdaq's closing bell. I want to especially thank the hard work, dedication, and innovation of our employees, our partners and our customers. We are excited about our continued advancements and expect digital infrastructure will be foundational for transformative technologies across artificial intelligence (AI), high-performance computing (HPC), and digital assets moving forward.” $MIGI #mawsoninc #migi #BTC #bitcoinetfs #Bitcoin #digitalcurrency #blockchain #bitcoinminer #digitalassets #hashrate #Pittsburgh #Pennsylvania #ArtificialIntelligence #Innovation #Technology #digitalinfrastructure #Sustainability #ai #newyork #nasdaq #timesquare #carbonfree
3:55

In commemoration of the Mawson Infrastructure Group (NASDAQ: MIGI)’s recent successes and accomplishments, Rahul Mewawalla, CEO and President of Mawson Infrastructure Group, joined by the Company’s board of directors and members of the Company’s management team, was invited to ring the closing bell at NASDAQ. Rahul Mewawalla, CEO and President said, “In recognition of our recent accomplishments and recognizing our innovative approach towards digital infrastructure platforms, we are pleased to ring Nasdaq's closing bell. I want to especially thank the hard work, dedication, and innovation of our employees, our partners and our customers. We are excited about our continued advancements and expect digital infrastructure will be foundational for transformative technologies across artificial intelligence (AI), high-performance computing (HPC), and digital assets moving forward.” $MIGI #mawsoninc #migi #BTC #bitcoinetfs #Bitcoin #digitalcurrency #blockchain #bitcoinminer #digitalassets #hashrate #Pittsburgh #Pennsylvania #ArtificialIntelligence #Innovation #Technology #digitalinfrastructure #Sustainability #ai #newyork #nasdaq #timesquare #carbonfree

Big Digital Energy (NASDAQ: BGDE)

13,617 次观看 • 1 年前

Phase 2 of construction at $WULF's Lake Mariner facility is underway 🐺⛏️ The extension of this site will continue to lead the industry in Bitcoin mining operations and expand into high-performance computing projects with our remaining 300+ MW of largely #zerocarbon energy infrastructure. Stay tuned for more updates as we continue to innovate and expand. The future of computing is here, and it's powered by TeraWulf. ⚡🔧 Watch the full video here below 👇
0:35

Phase 2 of construction at $WULF's Lake Mariner facility is underway 🐺⛏️ The extension of this site will continue to lead the industry in Bitcoin mining operations and expand into high-performance computing projects with our remaining 300+ MW of largely #zerocarbon energy infrastructure. Stay tuned for more updates as we continue to innovate and expand. The future of computing is here, and it's powered by TeraWulf. ⚡🔧 Watch the full video here below 👇

TeraWulf

13,629 次观看 • 2 年前

Nebius is one of the most undervalued AI infrastructure companies in the public markets right now (Save this). Leopold Aschenbrenner, the former OpenAI researcher who wrote the 165-page essay predicting AGI within this decade and then launched the $13.7 billion Situational Awareness Fund around that thesis just filed a 13G disclosing a 5.6% stake in Nebius, representing 12.41 million Class A shares. This is the man whose entire investment framework is built on one core conviction, AI will advance faster than anyone expects, and the binding constraint will not be algorithms or model architectures, it will be physical computing infrastructure, data center capacity, and energy. Now look at what Nebius actually is and why this conviction is justified by the numbers alone. Nebius is a GPU native AI cloud platform, a neocloud built from the ground up specifically for AI training and inference workloads, founded by Arkady Volozh, the former CEO of Yandex who divested all non-Russian assets and left Russia in direct opposition to Putin before relisting the company on Nasdaq. In Q1 2026, Nebius reported $399 million in revenue, a 684% increase year over year from just $50.9 million while also delivering EBITDA and adjusted EPS that beat consensus estimates by 43% and 50% respectively, in a quarter where analysts had already built in aggressive assumptions. The scale of the infrastructure buildout is what makes the valuation argument so compelling. Nebius has raised its contracted power capacity guidance to over 4 gigawatts for 2026, with a target of 5 gigawatts of AI computing capacity deployed by 2030, including multiple gigawatt-scale AI factories across the United States and Europe. The Finland campus coming soon to Lappeenranta will be 310 megawatts powered by low-carbon energy, making it one of the largest AI data centers in Europe, specifically located in a cold-climate, energy-stable region that dramatically reduces cooling costs and carbon intensity. The 2026 capacity is already effectively sold out according to management disclosures, which means every megawatt Nebius brings online has a revenue contract attached to it before the facility opens. The strategic backing validates the thesis at every level. NVIDIA committed a $2 billion strategic investment in Nebius by 2030, with the two companies co-developing an inference stack, implementing NVIDIA's GPU health monitoring systems, and deploying next-generation architectures including Rubin GPUs, Vera CPUs, and Bluefield storage systems meaning Nebius gets preferential access to the hardware that every other AI company is begging Jensen Huang for. Meta signed a $27 billion agreement with Nebius, with $12 billion in dedicated computing resources confirmed and up to $15 billion in additional capacity over the coming years. And Nebius just partnered with Bloom Energy on a $2.6 billion deal guaranteeing 328 megawatts of installed capacity through modular fuel cell systems behind the meter power that eliminates grid dependency and accelerates deployment timelines. The forward valuation math is where the undervaluation case becomes undeniable. Nebius is pricing in $3.5 billion in revenue for 2026 and $11 billion for 2027, which puts the forward price-to-sales ratio at 16.6 times for this year and just 5.3 times for next year for a company growing revenue at 684% year over year with sold out capacity, NVIDIA backing, a $27 billion Meta contract, and a path to 4+ gigawatts of contracted power. Milk Road has been positioned in Nebius and we believe the convergence of Leopold's conviction stake, NVIDIA's $2 billion endorsement, Meta's $27 billion commitment, and a physical infrastructure buildout that is sold out before it opens represents one of the highest-quality risk-reward setups in AI infrastructure today. Come join Milk Road Pro and get our full Nebius thesis including the exact framework we use to think about neocloud valuation, the power capacity math that determines when revenue accelerates, and every catalyst we are watching through 2027. Link in bio/below.
0:20

Nebius is one of the most undervalued AI infrastructure companies in the public markets right now (Save this). Leopold Aschenbrenner, the former OpenAI researcher who wrote the 165-page essay predicting AGI within this decade and then launched the $13.7 billion Situational Awareness Fund around that thesis just filed a 13G disclosing a 5.6% stake in Nebius, representing 12.41 million Class A shares. This is the man whose entire investment framework is built on one core conviction, AI will advance faster than anyone expects, and the binding constraint will not be algorithms or model architectures, it will be physical computing infrastructure, data center capacity, and energy. Now look at what Nebius actually is and why this conviction is justified by the numbers alone. Nebius is a GPU native AI cloud platform, a neocloud built from the ground up specifically for AI training and inference workloads, founded by Arkady Volozh, the former CEO of Yandex who divested all non-Russian assets and left Russia in direct opposition to Putin before relisting the company on Nasdaq. In Q1 2026, Nebius reported $399 million in revenue, a 684% increase year over year from just $50.9 million while also delivering EBITDA and adjusted EPS that beat consensus estimates by 43% and 50% respectively, in a quarter where analysts had already built in aggressive assumptions. The scale of the infrastructure buildout is what makes the valuation argument so compelling. Nebius has raised its contracted power capacity guidance to over 4 gigawatts for 2026, with a target of 5 gigawatts of AI computing capacity deployed by 2030, including multiple gigawatt-scale AI factories across the United States and Europe. The Finland campus coming soon to Lappeenranta will be 310 megawatts powered by low-carbon energy, making it one of the largest AI data centers in Europe, specifically located in a cold-climate, energy-stable region that dramatically reduces cooling costs and carbon intensity. The 2026 capacity is already effectively sold out according to management disclosures, which means every megawatt Nebius brings online has a revenue contract attached to it before the facility opens. The strategic backing validates the thesis at every level. NVIDIA committed a $2 billion strategic investment in Nebius by 2030, with the two companies co-developing an inference stack, implementing NVIDIA's GPU health monitoring systems, and deploying next-generation architectures including Rubin GPUs, Vera CPUs, and Bluefield storage systems meaning Nebius gets preferential access to the hardware that every other AI company is begging Jensen Huang for. Meta signed a $27 billion agreement with Nebius, with $12 billion in dedicated computing resources confirmed and up to $15 billion in additional capacity over the coming years. And Nebius just partnered with Bloom Energy on a $2.6 billion deal guaranteeing 328 megawatts of installed capacity through modular fuel cell systems behind the meter power that eliminates grid dependency and accelerates deployment timelines. The forward valuation math is where the undervaluation case becomes undeniable. Nebius is pricing in $3.5 billion in revenue for 2026 and $11 billion for 2027, which puts the forward price-to-sales ratio at 16.6 times for this year and just 5.3 times for next year for a company growing revenue at 684% year over year with sold out capacity, NVIDIA backing, a $27 billion Meta contract, and a path to 4+ gigawatts of contracted power. Milk Road has been positioned in Nebius and we believe the convergence of Leopold's conviction stake, NVIDIA's $2 billion endorsement, Meta's $27 billion commitment, and a physical infrastructure buildout that is sold out before it opens represents one of the highest-quality risk-reward setups in AI infrastructure today. Come join Milk Road Pro and get our full Nebius thesis including the exact framework we use to think about neocloud valuation, the power capacity math that determines when revenue accelerates, and every catalyst we are watching through 2027. Link in bio/below.

Milk Road AI

61,932 次观看 • 1 个月前

Nvidia just invested $2 billion in CoreWeave yesterday. CoreWeave's entire business is renting out data centers packed with Nvidia GPUs. So Nvidia literally gave money to a company that EXISTS to buy Nvidia chips. Then promised to buy $6.3 billion of CoreWeave's unused capacity BACK. This is the most sophisticated circular financing scheme in tech history. Let me repeat that: Nvidia FUNDS CoreWeave → CoreWeave BUYS Nvidia chips → Nvidia BUYS BACK CoreWeave's unused capacity The money goes in a perfect circle. Nvidia → CoreWeave → Nvidia → CoreWeave → Nvidia Every transaction gets booked as "revenue" on both sides. But the cash just keeps rotating. In Bloomberg's own words: "circular financing deals that have lifted valuations of AI companies and fueled concerns about a bubble." Jensen Huang even went on CNBC after the announcement and accidentally admitted the truth: "We've invested $2 billion into CoreWeave, but the amount of funding that needs to be raised yet to support that five gigawatts is really quite significant. We're investing a small percentage of the amount that ultimately has to go and be provided." Translation: CoreWeave is underwater. The $2 billion is a fraction of what they actually need. CoreWeave has signed over $40 billion in contracts. $22.4 billion with OpenAI. $14.2 billion with Meta. $6.3 billion guaranteed purchase from Nvidia. But they don't have the capacity built yet. They're signing contracts for infrastructure that doesn't exist, funded by debt, backed by Nvidia's promise to buy unused capacity. And this goes deeper... CoreWeave started as a Bitcoin mining company called Atlantic Crypto in 2017. After the 2018 crypto crash, they "pivoted" to AI. Crypto crashes. AI booms. Former miners become "AI infrastructure experts" overnight. Now they're signing $40 billion contracts. Nvidia's play is obvious once you see it: Amazon, Google, and Microsoft are building their OWN AI chips. Trainium. TPU. Maia. So Nvidia's building a "shadow cloud" of smaller providers who are 100% dependent on Nvidia chips. Fund them. Lock them into contracts. Guarantee their purchases. When hyperscalers threaten to leave, Nvidia says "we don't need you, we have CoreWeave." It's vertical integration disguised as investment. But yesterday, something broke. CoreWeave's stock jumped 6% on the news. Bitcoin miners who pivoted to AI infrastructure? Crushed. CleanSpark, IREN, TeraWulf all down 10-15%. Because Nvidia just picked its winner. CoreWeave gets priority GPU access. Everyone else is irrelevant. The smart money already left. SoftBank sold its entire $5.8 billion Nvidia stake in November. CEO said he was "crying" to sell. Michael Burry has $1 billion in puts betting Nvidia crashes. Peter Thiel exited his position. They saw the circular financing and got out. Nvidia funds CoreWeave, CoreWeave buys Nvidia chips, Nvidia buys CoreWeave's capacity... This works as long as: 1. Nvidia keeps funding 2. CoreWeave keeps buying 3. Customers keep renting But the second ONE of those breaks, the whole loop collapses. If CoreWeave can't raise more capital, they can't build capacity. If they can't build capacity, they can't fulfill $40 billion in contracts. If they can't fulfill contracts, Meta and OpenAI walk. If customers walk, Nvidia's $6.3 billion capacity guarantee becomes a LIABILITY. This isn't about whether AI is real. AI IS real. This is about whether the infrastructure buildout is real or just financial engineering. Nvidia manufactures demand by funding customers who buy Nvidia products. Those customers sign contracts they can't fulfill without more funding. Nvidia guarantees to buy back unused capacity. Money circulates. Everyone books revenue. But NOBODY asks where actual demand is. This is either the most innovative infrastructure partnership in history, or the most sophisticated ponzi scheme since 2008. The next six months will tell us which.
1:19

Nvidia just invested $2 billion in CoreWeave yesterday. CoreWeave's entire business is renting out data centers packed with Nvidia GPUs. So Nvidia literally gave money to a company that EXISTS to buy Nvidia chips. Then promised to buy $6.3 billion of CoreWeave's unused capacity BACK. This is the most sophisticated circular financing scheme in tech history. Let me repeat that: Nvidia FUNDS CoreWeave → CoreWeave BUYS Nvidia chips → Nvidia BUYS BACK CoreWeave's unused capacity The money goes in a perfect circle. Nvidia → CoreWeave → Nvidia → CoreWeave → Nvidia Every transaction gets booked as "revenue" on both sides. But the cash just keeps rotating. In Bloomberg's own words: "circular financing deals that have lifted valuations of AI companies and fueled concerns about a bubble." Jensen Huang even went on CNBC after the announcement and accidentally admitted the truth: "We've invested $2 billion into CoreWeave, but the amount of funding that needs to be raised yet to support that five gigawatts is really quite significant. We're investing a small percentage of the amount that ultimately has to go and be provided." Translation: CoreWeave is underwater. The $2 billion is a fraction of what they actually need. CoreWeave has signed over $40 billion in contracts. $22.4 billion with OpenAI. $14.2 billion with Meta. $6.3 billion guaranteed purchase from Nvidia. But they don't have the capacity built yet. They're signing contracts for infrastructure that doesn't exist, funded by debt, backed by Nvidia's promise to buy unused capacity. And this goes deeper... CoreWeave started as a Bitcoin mining company called Atlantic Crypto in 2017. After the 2018 crypto crash, they "pivoted" to AI. Crypto crashes. AI booms. Former miners become "AI infrastructure experts" overnight. Now they're signing $40 billion contracts. Nvidia's play is obvious once you see it: Amazon, Google, and Microsoft are building their OWN AI chips. Trainium. TPU. Maia. So Nvidia's building a "shadow cloud" of smaller providers who are 100% dependent on Nvidia chips. Fund them. Lock them into contracts. Guarantee their purchases. When hyperscalers threaten to leave, Nvidia says "we don't need you, we have CoreWeave." It's vertical integration disguised as investment. But yesterday, something broke. CoreWeave's stock jumped 6% on the news. Bitcoin miners who pivoted to AI infrastructure? Crushed. CleanSpark, IREN, TeraWulf all down 10-15%. Because Nvidia just picked its winner. CoreWeave gets priority GPU access. Everyone else is irrelevant. The smart money already left. SoftBank sold its entire $5.8 billion Nvidia stake in November. CEO said he was "crying" to sell. Michael Burry has $1 billion in puts betting Nvidia crashes. Peter Thiel exited his position. They saw the circular financing and got out. Nvidia funds CoreWeave, CoreWeave buys Nvidia chips, Nvidia buys CoreWeave's capacity... This works as long as: 1. Nvidia keeps funding 2. CoreWeave keeps buying 3. Customers keep renting But the second ONE of those breaks, the whole loop collapses. If CoreWeave can't raise more capital, they can't build capacity. If they can't build capacity, they can't fulfill $40 billion in contracts. If they can't fulfill contracts, Meta and OpenAI walk. If customers walk, Nvidia's $6.3 billion capacity guarantee becomes a LIABILITY. This isn't about whether AI is real. AI IS real. This is about whether the infrastructure buildout is real or just financial engineering. Nvidia manufactures demand by funding customers who buy Nvidia products. Those customers sign contracts they can't fulfill without more funding. Nvidia guarantees to buy back unused capacity. Money circulates. Everyone books revenue. But NOBODY asks where actual demand is. This is either the most innovative infrastructure partnership in history, or the most sophisticated ponzi scheme since 2008. The next six months will tell us which.

Ricardo

71,585 次观看 • 6 个月前

Our new mine acquisition has officially started we been on-site for 4 weeks now ever since we started four weeks back, and we are thrilled with the progress! The mine strictly produces seam one, 25-29 CV, delivering high-grade RB1 and RB2 coal. With a lifespan of 19 years and full export commitments already in place, this is shaping up to be one of our most exciting projects yet. Stay tuned for more updates as we continue to push forward! #MabMining
0:47

Our new mine acquisition has officially started we been on-site for 4 weeks now ever since we started four weeks back, and we are thrilled with the progress! The mine strictly produces seam one, 25-29 CV, delivering high-grade RB1 and RB2 coal. With a lifespan of 19 years and full export commitments already in place, this is shaping up to be one of our most exciting projects yet. Stay tuned for more updates as we continue to push forward! #MabMining

Matsapa-A-Botshelo(MAB)

44,006 次观看 • 1 年前

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.
0:20

Chamath Palihapitiya just dropped the number that explains the entire AI infrastructure trade (Save this). A gigawatt of compute now costs $100 billion and when he started his Arizona data center project it was $4 to $5 billion, it has gone up 20x in a single investment cycle. The implication is not just that AI infrastructure is expensive but rather that the capital barrier to owning meaningful compute has become so high that only a handful of entities in the world can actually build it and the companies who got there early are sitting on what may be the most durable pricing power in the history of the technology industry. This is the neocloud trade. The neocloud market, purpose-built GPU cloud providers like CoreWeave, Nebius, and Lambda Labs was worth $35 billion in 2026 and is projected to reach $236 billion by 2031, compounding at 46% annually. For context, that is faster growth than cloud computing itself posted in its first decade. The reason is very simple, hyperscalers like AWS, Azure, and Google are building for everything, storage, databases, enterprise software, networking and their GPU pricing reflects the overhead of that full-stack infrastructure. Neoclouds build for one thing only, AI compute. The result is a 60% to 85% cost advantage on the same Nvidia silicon, bare metal H100s at $0.78 to $2.79 per GPU-hour on a neocloud versus $3.43 to $5.07 per GPU-hour on a hyperscaler. That spread does not close as AI demand scales but rather it widens, because hyperscalers have to amortize legacy infrastructure and margin expectations that neoclouds do not carry. Gartner projects that by 2030, neoclouds will capture 20% of the $267 billion AI cloud market, and Vultr's own analysis says at least 80% of GPU market share by end of 2026 will be held by a small group of scaled neocloud providers. Now zoom into Nebius specifically, because it is the most interesting publicly traded proxy for this trade. Nebius is the infrastructure arm of the former Yandex Russia's equivalent of Google rebuilt from the ground up after Russia's invasion of Ukraine by Arkady Volozh and relisted on Nasdaq in October 2024. The team that built it already knew how to run internet-scale infrastructure at the lowest possible cost, which is exactly the operational DNA a neocloud requires. In Q1 2026, Nebius reported revenue of $399 million and already generating serious cash on a young business with revenue growing nearly eightfold year-over-year. Then in March 2026, Meta signed a five-year infrastructure agreement with Nebius worth up to $27 billion, $12 billion in committed dedicated GPU capacity deployments beginning early 2027, plus up to $15 billion more tied to Meta purchasing Nebius's unsold third-party capacity. The deal will be executed on one of the first large-scale deployments of Nvidia's Vera Rubin platform, the next-generation architecture after Blackwell making Nebius one of a tiny number of operators in the world with confirmed priority access to the most advanced AI hardware available. Following the contract, Nebius guided to $7 to $9 billion in annualized recurring revenue for 2026 representing 540% year-over-year growth. Chamath Palihapitiya point about the $100 billion capital moat is the bear case for new entrants and the bull case for incumbents. No one can afford to build the next CoreWeave or Nebius from scratch at current hardware and power costs. The companies that are already built, already contracted, and already deploying Nvidia's latest silicon have a moat that compounds with every GPU generation cycle because they get allocations first, they deploy fastest, and their customers re-sign rather than wait for a new operator that does not yet exist. Come join Milk Road Pro for our full breakdown, the complete neocloud competitive landscape, how to think about Nebius's valuation versus CoreWeave and AI entire thesis. Link below.

Milk Road AI

138,663 次观看 • 1 个月前

Alex Karp answers if Palantir was the company who killed Iranian Leader Ayatollah Ali Khamenei: “Our adversaries and enemies are witnessing an ability to fight that they don’t have.” “I’ve read in the papers that we’re able to engage and fight in war in a way that we haven’t been able to in the past— and have regained deterrent capabilities.” “The fact that you can target more precisely, accurately and quickly, and that America can do these things and organize the total power of our fleet and resources, and bring it to bear against our adversaries and enemies— has shifted the way in which war is fought.” “I’ve read that Palantir’s Project Maven is the core backbone of that.” “I’ve also read that all our allies in the Middle East may or may not be users of our platform as well, and that’s expanding rapidly.” “What you want is to have a capacity that no one else can replicate.” “America is the center of the AI revolution. The LLMs on the battlefield are only useful if powered inside an Ontology, and that’s our Ontology.” “And yeah— I’ve read that we’re at the core of everything.”
1:45

Alex Karp answers if Palantir was the company who killed Iranian Leader Ayatollah Ali Khamenei: “Our adversaries and enemies are witnessing an ability to fight that they don’t have.” “I’ve read in the papers that we’re able to engage and fight in war in a way that we haven’t been able to in the past— and have regained deterrent capabilities.” “The fact that you can target more precisely, accurately and quickly, and that America can do these things and organize the total power of our fleet and resources, and bring it to bear against our adversaries and enemies— has shifted the way in which war is fought.” “I’ve read that Palantir’s Project Maven is the core backbone of that.” “I’ve also read that all our allies in the Middle East may or may not be users of our platform as well, and that’s expanding rapidly.” “What you want is to have a capacity that no one else can replicate.” “America is the center of the AI revolution. The LLMs on the battlefield are only useful if powered inside an Ontology, and that’s our Ontology.” “And yeah— I’ve read that we’re at the core of everything.”

Jawwwn

254,147 次观看 • 4 个月前

We announced our Q3 FY’26 results, marking continued momentum in our FY’27 transformation journey. Revenue grew by 2.7% YoY and 1.5% QoQ on a reported basis, and 1.3% YoY and 1.7% QoQ on a constant currency basis, marking our fastest quarterly growth in the last three years. This performance was driven by broad-based growth across Communications, Manufacturing, Hi-Tech, Retail, and Healthcare. Operating margin expanded by ~290 bps YoY to 13.1%, underscoring the progress enabled by our improved operating disciplines and the quality of our revenue growth as we have maintained pricing discipline and enhanced our revenue mix. We closed ~USD 1.1 billion in net new deal wins during the quarter, reflecting sustained demand and disciplined execution. AI continues to be a core driver of scale, efficiency, and long-term value creation across our engagements. Press Release: Tech Mahindra #TechMahindraOnwardsAndUpwards
1:53

We announced our Q3 FY’26 results, marking continued momentum in our FY’27 transformation journey. Revenue grew by 2.7% YoY and 1.5% QoQ on a reported basis, and 1.3% YoY and 1.7% QoQ on a constant currency basis, marking our fastest quarterly growth in the last three years. This performance was driven by broad-based growth across Communications, Manufacturing, Hi-Tech, Retail, and Healthcare. Operating margin expanded by ~290 bps YoY to 13.1%, underscoring the progress enabled by our improved operating disciplines and the quality of our revenue growth as we have maintained pricing discipline and enhanced our revenue mix. We closed ~USD 1.1 billion in net new deal wins during the quarter, reflecting sustained demand and disciplined execution. AI continues to be a core driver of scale, efficiency, and long-term value creation across our engagements. Press Release: Tech Mahindra #TechMahindraOnwardsAndUpwards

Mohit Joshi

48,259 次观看 • 6 个月前

Ubuntu Core 26 has arrived. Ubuntu Core 26 is now generally available, bringing precise Linux builds, optimized OTA updates, live kernel patching, and enhanced hardware-backed protection for mission-critical deployments. "Ten years ago, Ubuntu Core pioneered a new OS security model, where every component is strictly confined, transactionally updated, and independently verifiable. Today, that approach is reflected in emerging industry standards. With Ubuntu Core 26, we continue to deliver the foundation that critical infrastructure operators need to meet the Cyber Resilience Act, run attested, immutable edge AI workloads, and manage devices securely at scale," said Jon Seager, VP of Ubuntu Engineering at Canonical. Read the press release to learn more: #OpenSource #Canonical #UbuntuCore26
0:20

Ubuntu Core 26 has arrived. Ubuntu Core 26 is now generally available, bringing precise Linux builds, optimized OTA updates, live kernel patching, and enhanced hardware-backed protection for mission-critical deployments. "Ten years ago, Ubuntu Core pioneered a new OS security model, where every component is strictly confined, transactionally updated, and independently verifiable. Today, that approach is reflected in emerging industry standards. With Ubuntu Core 26, we continue to deliver the foundation that critical infrastructure operators need to meet the Cyber Resilience Act, run attested, immutable edge AI workloads, and manage devices securely at scale," said Jon Seager, VP of Ubuntu Engineering at Canonical. Read the press release to learn more: #OpenSource #Canonical #UbuntuCore26

Canonical

25,009 次观看 • 2 个月前

Excited to share that we’ve raised $300M in our Series B round, led by Radical Ventures, bringing our total funding to more than $450M, with leading technology companies joining as both customers and investors. We continue accelerating the path to AGI through our two core pillars: ultra-optimized infrastructure for AI workloads, and realtime world models built on top of it. Today, we’re also launching DOS (Decart Optimization Stack) 2.0 – our next-generation inference and training platform, delivering over 1,600 tokens per second for agentic inference and over 100 FPS for world models across major hardware platforms. Alongside DOS, we will launch new versions of our world models in the coming weeks: Lucy, for immersive realtime experiences, and Oasis, for physical AI. Grateful to our partners, customers, and backers across media & entertainment, Physical AI, chips, hyperscalers, and the broader AI ecosystem. Radical Ventures, Adobe, Alpha Partners, Amazon and Amazon Web Services, Atreides Management, LP, Benchmark, eBay, NVIDIA, Sequoia Capital, Toyota USA, @valorep, oren zeev; Andrej Karpathy, Michael Eisner, Yamauchi-No.10 Family Office, Moritz Baier-Lentz and more. We made a film for this moment with Decart CEO Dean Leitersdorf and Moritz Baier-Lentz - a look at the company, the technology, and what comes next.
7:30

Excited to share that we’ve raised $300M in our Series B round, led by Radical Ventures, bringing our total funding to more than $450M, with leading technology companies joining as both customers and investors. We continue accelerating the path to AGI through our two core pillars: ultra-optimized infrastructure for AI workloads, and realtime world models built on top of it. Today, we’re also launching DOS (Decart Optimization Stack) 2.0 – our next-generation inference and training platform, delivering over 1,600 tokens per second for agentic inference and over 100 FPS for world models across major hardware platforms. Alongside DOS, we will launch new versions of our world models in the coming weeks: Lucy, for immersive realtime experiences, and Oasis, for physical AI. Grateful to our partners, customers, and backers across media & entertainment, Physical AI, chips, hyperscalers, and the broader AI ecosystem. Radical Ventures, Adobe, Alpha Partners, Amazon and Amazon Web Services, Atreides Management, LP, Benchmark, eBay, NVIDIA, Sequoia Capital, Toyota USA, @valorep, oren zeev; Andrej Karpathy, Michael Eisner, Yamauchi-No.10 Family Office, Moritz Baier-Lentz and more. We made a film for this moment with Decart CEO Dean Leitersdorf and Moritz Baier-Lentz - a look at the company, the technology, and what comes next.

Decart

96,393 次观看 • 2 个月前

This year, we can add more countries to our list of reliable partners, particularly Syria. We are preparing to restore diplomatic relations and cooperation in international organizations. I thank our intelligence for laying the security groundwork for these contacts. As a result of the visit, we also intend to increase trade with Lebanon. Currently, our agricultural exports to this country amount to $400 million, and we aim to double this figure at the very least. In 2025, we plan to increase our outreach to Africa as well, as every new partnership opens greater opportunities for our diplomacy and economy. In 2024, we managed to increase Ukrainian exports by 15%, adding over $5 billion compared to 2023, with total exports exceeding $41 billion for the year. Achieving this during a full-scale war is no small feat. For 2025, our goal is to continue this growth. I thank all of our officials, diplomats, and Ukrainian companies, who are securing our ties with the world. I thank every soldier and unit that provides security for our export routes, especially in the Black Sea.
3:38

This year, we can add more countries to our list of reliable partners, particularly Syria. We are preparing to restore diplomatic relations and cooperation in international organizations. I thank our intelligence for laying the security groundwork for these contacts. As a result of the visit, we also intend to increase trade with Lebanon. Currently, our agricultural exports to this country amount to $400 million, and we aim to double this figure at the very least. In 2025, we plan to increase our outreach to Africa as well, as every new partnership opens greater opportunities for our diplomacy and economy. In 2024, we managed to increase Ukrainian exports by 15%, adding over $5 billion compared to 2023, with total exports exceeding $41 billion for the year. Achieving this during a full-scale war is no small feat. For 2025, our goal is to continue this growth. I thank all of our officials, diplomats, and Ukrainian companies, who are securing our ties with the world. I thank every soldier and unit that provides security for our export routes, especially in the Black Sea.

Volodymyr Zelenskyy / Володимир Зеленський

458,043 次观看 • 1 年前

📣 Partnership Announcement: Solidus AI Tech and SambaNova Systems ✨ We are excited to announce a strategic partnership with SambaNova, a distinguished Silicon Valley unicorn valued at $5 billion and recognized for developing the world's fastest AI-specialized chips. This collaboration will significantly enhance our AI Marketplace by providing unparalleled AI inferencing and training capabilities, solidifying our position as a leader in industry innovation. SambaNova’s advanced technology will bring several key benefits to our HPC Data Center: 🔹 Powering a significant portion of our infrastructure with their cutting-edge RDUs. 🔹 Achieving up to 80% energy savings compared to traditional systems. 🔹 Supporting AI models with up to 5 trillion parameters per SambaNova Node. 🔹 Setting a new benchmark for AI infrastructure performance.
0:29

📣 Partnership Announcement: Solidus AI Tech and SambaNova Systems ✨ We are excited to announce a strategic partnership with SambaNova, a distinguished Silicon Valley unicorn valued at $5 billion and recognized for developing the world's fastest AI-specialized chips. This collaboration will significantly enhance our AI Marketplace by providing unparalleled AI inferencing and training capabilities, solidifying our position as a leader in industry innovation. SambaNova’s advanced technology will bring several key benefits to our HPC Data Center: 🔹 Powering a significant portion of our infrastructure with their cutting-edge RDUs. 🔹 Achieving up to 80% energy savings compared to traditional systems. 🔹 Supporting AI models with up to 5 trillion parameters per SambaNova Node. 🔹 Setting a new benchmark for AI infrastructure performance.

AITECH CLOUD NETWORK

124,303 次观看 • 1 年前

Our acquisition of three Mississippi #Bitcoin mining data centers is complete and initial operations have already begun, boosting $CLSK's operating #hashrate to over 15 EH/s. In nearby Georgia, we have invested over $700 million into energy infrastructure, miners, buildings, and job creation, while contributing tens of millions of dollars to communities in the form of taxes and local margins on #energy bills. We expect to bring the same level of care and attention to Mississippi that we are known for in Georgia. “Expanding into a new state is an important milestone for our company and we are looking forward to partnering with the communities we are joining. By maximizing the grid services capabilities of bitcoin miners, we aim to create jobs and foster economic growth that benefits both our new neighbors and our shareholders. Our investment in Mississippi is one more step in the direction of the shared prosperity that Bitcoin promises.” -CEO Zach Bradford Full release:
0:59

Our acquisition of three Mississippi #Bitcoin mining data centers is complete and initial operations have already begun, boosting $CLSK's operating #hashrate to over 15 EH/s. In nearby Georgia, we have invested over $700 million into energy infrastructure, miners, buildings, and job creation, while contributing tens of millions of dollars to communities in the form of taxes and local margins on #energy bills. We expect to bring the same level of care and attention to Mississippi that we are known for in Georgia. “Expanding into a new state is an important milestone for our company and we are looking forward to partnering with the communities we are joining. By maximizing the grid services capabilities of bitcoin miners, we aim to create jobs and foster economic growth that benefits both our new neighbors and our shareholders. Our investment in Mississippi is one more step in the direction of the shared prosperity that Bitcoin promises.” -CEO Zach Bradford Full release:

CleanSpark Inc.

72,546 次观看 • 2 年前

We are pleased to share that we have expanded our stablecoin offering with the addition of Ripple USD (RLUSD). This integration allows Zero Hash customers to access RLUSD to process transactions on both the XRP Ledger and Ethereum networks. Zero Hash's API and SDK infrastructure now supports over 65 digital assets, including 5 stablecoins, across multiple chains, reinforcing our position as the comprehensive solution for platforms seeking to design and build new ways to store, exchange and move value globally. RLUSD is now part of Zero Hash’s stablecoin engine. "The addition of RLUSD to our ecosystem demonstrates Zero Hash's commitment to providing our customers with access to the most innovative and regulated stablecoin technologies," said Edward Woodford, Founder and CEO at Zero Hash. Read the press release: #Stablecoins #Payments #Ripple
0:20

We are pleased to share that we have expanded our stablecoin offering with the addition of Ripple USD (RLUSD). This integration allows Zero Hash customers to access RLUSD to process transactions on both the XRP Ledger and Ethereum networks. Zero Hash's API and SDK infrastructure now supports over 65 digital assets, including 5 stablecoins, across multiple chains, reinforcing our position as the comprehensive solution for platforms seeking to design and build new ways to store, exchange and move value globally. RLUSD is now part of Zero Hash’s stablecoin engine. "The addition of RLUSD to our ecosystem demonstrates Zero Hash's commitment to providing our customers with access to the most innovative and regulated stablecoin technologies," said Edward Woodford, Founder and CEO at Zero Hash. Read the press release: #Stablecoins #Payments #Ripple

zerohash

159,158 次观看 • 1 年前