Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

AI infra isn’t just focused on compute. Orchestration, data movement, and flexibility are becoming critical. From GTC, Brendan Burke talks with MiTAC Computing’s Raymond Huang on the “inference inflection.” What matters now: • Flexible > fixed infrastructure • Orchestration = scale • Data movement drives performance

Six Five Media

4,203 subscribers

43,968 Aufrufe • vor 4 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

America must stockpile compute for the new era of national security. Armada just secured $230M to help build that compute stockpile, developing modular edge data centers for critical infrastructure and remote environments. U.S. Navy ships, oil rigs, remote mines, manufacturing facilities, and critical infrastructure sites are becoming the front lines of data generation, where 75% of data is now being generated. Our interview with Armada CEO Dan Wright breaks down the rise of hyperscaler infrastructure at the edge and why decentralized compute is becoming one of the most important strategic assets.

America must stockpile compute for the new era of national security. Armada just secured $230M to help build that compute stockpile, developing modular edge data centers for critical infrastructure and remote environments. U.S. Navy ships, oil rigs, remote mines, manufacturing facilities, and critical infrastructure sites are becoming the front lines of data generation, where 75% of data is now being generated. Our interview with Armada CEO Dan Wright breaks down the rise of hyperscaler infrastructure at the edge and why decentralized compute is becoming one of the most important strategic assets.

Atoms Not Bits

28,618 Aufrufe • vor 2 Monaten

The defining differentiator in AI right now isn't model performance, it's cost per token. Because in this market, efficiency is what turns demand into actual growth. Roman Chernin of Nebius outlines why inference economics are becoming the central challenge, as companies operating on thin margins need infrastructure that can scale without eroding profitability. Token Factory reflects that shift, focusing on orchestration, optimization, and full-stack control to make AI systems economically viable.

The defining differentiator in AI right now isn't model performance, it's cost per token. Because in this market, efficiency is what turns demand into actual growth. Roman Chernin of Nebius outlines why inference economics are becoming the central challenge, as companies operating on thin margins need infrastructure that can scale without eroding profitability. Token Factory reflects that shift, focusing on orchestration, optimization, and full-stack control to make AI systems economically viable.

Six Five Media

294,803 Aufrufe • vor 4 Monaten

AI isn’t just writing code. It’s now being used to design the materials behind fusion energy. From GTC, Daniel Newman + Patrick Moorhead talk with Lenovo Data Center’s CMO Flynn Maloy + Quantum Formatics’ Jason Gibson on AI-driven discovery. What’s changing: • Infra > models for deep tech • Private AI enables real experimentation • Power + cooling are the real constraints Are we ready for AI-driven science?

AI isn’t just writing code. It’s now being used to design the materials behind fusion energy. From GTC, Daniel Newman + Patrick Moorhead talk with Lenovo Data Center’s CMO Flynn Maloy + Quantum Formatics’ Jason Gibson on AI-driven discovery. What’s changing: • Infra > models for deep tech • Private AI enables real experimentation • Power + cooling are the real constraints Are we ready for AI-driven science?

Six Five Media

45,387 Aufrufe • vor 4 Monaten

We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

Cluster Protocol

64,140 Aufrufe • vor 21 Tagen

What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model — it will be the infrastructure that delivers data with reliability, security, and visibility. The last mile of AI is becoming a first-class product decision, not just an infrastructure one. Watch the full conversation: Register for AI Virtual Summit (free) #AI #CTO #CIO #EnterpriseAI #Infrastructure #Cybersecurity #F5Partner

What does it take for CTOs and CIOs to build an AI stack where data reaches compute reliably, securely, and at scale? That’s the strategic question behind my conversation with Kunal Anand, CPO at #F5. As AI moves into production, the real differentiator won’t just be the model — it will be the infrastructure that delivers data with reliability, security, and visibility. The last mile of AI is becoming a first-class product decision, not just an infrastructure one. Watch the full conversation: Register for AI Virtual Summit (free) #AI #CTO #CIO #EnterpriseAI #Infrastructure #Cybersecurity #F5Partner

Helen Yu

12,148 Aufrufe • vor 1 Monat

Most AI deployments break when they leave the data center. At GTC, Patrick Moorhead + Daniel Newman talk with Lenovo Data Center’s Vlad Rozanovich and Jon Alexander of Akamai Technologies on what it takes to actually run AI at the edge: Latency Consistency Security Where are you seeing friction? Central infrastructure or edge execution?

Most AI deployments break when they leave the data center. At GTC, Patrick Moorhead + Daniel Newman talk with Lenovo Data Center’s Vlad Rozanovich and Jon Alexander of Akamai Technologies on what it takes to actually run AI at the edge: Latency Consistency Security Where are you seeing friction? Central infrastructure or edge execution?

Six Five Media

65,038 Aufrufe • vor 4 Monaten

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

The biggest driver of AI compute now is real-world deployment. At NVIDIA GTC, IREN's Kent Draper, alongside Lenovo's Vlad Rozanovich, shared what they’re actually seeing on the ground from AI infrastructure demand, and the signal is coming from enterprise use. He pointed to agents, internal enterprise models, and real-world deployments as the workloads now driving demand, and explained that the challenge isn't finding customers, it’s how quickly they can build capacity to keep up. Their strategy? A vertically integrated model focused entirely on power-dense computing, which allows them to scale faster, control the environment, and deliver infrastructure purpose-built for AI rather than multi-tenant data centers trying to support dozens of different workloads.

Six Five Media

7,422,478 Aufrufe • vor 4 Monaten

AI in the network is shifting the conversation beyond GPUs. At MWC 2026, Intel's Kevork Kechichian, EVP & GM of the Data Center Group, explains why inference workloads are bringing CPUs back into focus, especially in telco environments where power, space, and efficiency matter. With platforms like Intel Xeon and Clearwater Forest, operators are seeing up to 30% performance gains and 60% better power efficiency, helping scale AI workloads without overhauling infrastructure. As networks evolve toward AI-driven operations and 6G, one principle is becoming clear: The future of AI infrastructure is about using the right compute for the right workload.

AI in the network is shifting the conversation beyond GPUs. At MWC 2026, Intel's Kevork Kechichian, EVP & GM of the Data Center Group, explains why inference workloads are bringing CPUs back into focus, especially in telco environments where power, space, and efficiency matter. With platforms like Intel Xeon and Clearwater Forest, operators are seeing up to 30% performance gains and 60% better power efficiency, helping scale AI workloads without overhauling infrastructure. As networks evolve toward AI-driven operations and 6G, one principle is becoming clear: The future of AI infrastructure is about using the right compute for the right workload.

Six Five Media

131,501 Aufrufe • vor 5 Monaten

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

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 Aufrufe • vor 7 Monaten

👉🏻 Proof of Build Singapore: Panel Recap 👈🏻 For the panel on 'Building the foundations: modular infra and AI at scale', Sheena ✈️ Singapore hosted an exciting session alongside builders from GAIB, 0G Labs (Home of Infinite AI), Manta Network (🔱,🔱), and zk V e r i f y. Key takeaways: → The convergence of AI and modular infra is redefining how networks scale and coordinate workloads → Composability is key: modular layers enable flexibility and faster iteration → Verifiability matters: zero-knowledge proofs and onchain validation ensure trust in AI and data pipelines → Onchain AI unlocks transparency, accountability, and data ownership The message is clear: the future of AI and infra is modular, verifiable, and user-first. Full panel 👇🏻

👉🏻 Proof of Build Singapore: Panel Recap 👈🏻 For the panel on 'Building the foundations: modular infra and AI at scale', Sheena ✈️ Singapore hosted an exciting session alongside builders from GAIB, 0G Labs (Home of Infinite AI), Manta Network (🔱,🔱), and zk V e r i f y. Key takeaways: → The convergence of AI and modular infra is redefining how networks scale and coordinate workloads → Composability is key: modular layers enable flexibility and faster iteration → Verifiability matters: zero-knowledge proofs and onchain validation ensure trust in AI and data pipelines → Onchain AI unlocks transparency, accountability, and data ownership The message is clear: the future of AI and infra is modular, verifiable, and user-first. Full panel 👇🏻

NodeOps

32,297 Aufrufe • vor 10 Monaten

OptimAI Core Node - More Than Mining. It’s Thinking. What does the OptimAI Core Node really do? + Crawls and indexes real-time web data + Runs lightweight AI inference tasks + Stores and retrieves data collaboratively + Powers decentralized search and compute Each node you run becomes part of a living AI infrastructure - one that learns, evolves, and grows smarter with every participant. The future of intelligence isn’t centralized. It’s distributed, and it starts with us. 👉 Join the network: 🎥 Watch the installation guide from our CCO, Ricardo, now for Windows users.

OptimAI Core Node - More Than Mining. It’s Thinking. What does the OptimAI Core Node really do? + Crawls and indexes real-time web data + Runs lightweight AI inference tasks + Stores and retrieves data collaboratively + Powers decentralized search and compute Each node you run becomes part of a living AI infrastructure - one that learns, evolves, and grows smarter with every participant. The future of intelligence isn’t centralized. It’s distributed, and it starts with us. 👉 Join the network: 🎥 Watch the installation guide from our CCO, Ricardo, now for Windows users.

OptimAI Network

242,814 Aufrufe • vor 9 Monaten

👀 Revolut has rolled out AI voice agents from across the UK and Europe, and the numbers are hard to ignore. What changed? • 8× faster time to ticket resolution • 99.7% successful call completion • 31+ languages, live, native-quality voice • Instant, 24/7 support for 4M+ customers Instead of outsourcing the brain, Revolut kept full control of orchestration, logic, and data, while plugging in best-in-class voice, latency, and compliance (PCI + zero retention). AI agents are no longer just cost-cutting chatbots. They’re becoming front-line CX infrastructure; fast, multilingual, compliant, and deeply integrated with core systems. At scale, voice is back, just powered by AI. What do you think about this feature?

👀 Revolut has rolled out AI voice agents from across the UK and Europe, and the numbers are hard to ignore. What changed? • 8× faster time to ticket resolution • 99.7% successful call completion • 31+ languages, live, native-quality voice • Instant, 24/7 support for 4M+ customers Instead of outsourcing the brain, Revolut kept full control of orchestration, logic, and data, while plugging in best-in-class voice, latency, and compliance (PCI + zero retention). AI agents are no longer just cost-cutting chatbots. They’re becoming front-line CX infrastructure; fast, multilingual, compliant, and deeply integrated with core systems. At scale, voice is back, just powered by AI. What do you think about this feature?

Marcel van Oost

138,864 Aufrufe • vor 6 Monaten

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and kingston kuan spent years building large-scale infrastructure at Jane Street.

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and kingston kuan spent years building large-scale infrastructure at Jane Street.

Brandon Ong

160,203 Aufrufe • vor 2 Tagen

“People are already building things that weren’t possible before.” With Mainnet and TGE live, Acurast is focused on what comes next: from scaling real-world compute to new infrastructure use cases, including Agentic AI. Watch the founders’ update 👇

“People are already building things that weren’t possible before.” With Mainnet and TGE live, Acurast is focused on what comes next: from scaling real-world compute to new infrastructure use cases, including Agentic AI. Watch the founders’ update 👇

Acurast

26,828 Aufrufe • vor 6 Monaten

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 Aufrufe • vor 2 Monaten

Exabits Highlights — 21 July 2025 Infra innovation isn’t slowing down. Here’s what’s been happening across the stack: 🤝 Partnerships - NodeOps — Pushing programmable infrastructure forward with permissionless, verifiable compute. - Nosana — Expanding global GPU liquidity to meet the evolving demands of AI workloads. 📍 Events - Russ at SuperAI Singapore — On-ground with the APAC AI scene, sharing insights on cost-per-token economics. - Jonathan at ETHCC Cannes — Connecting with Ethereum’s dev core to talk tokenized compute and modular infra. - Russ at Permissionless NY — Powering infra conversations around scaling AI-native protocols. - Russ at GENAI SF — At the Palace of Fine Arts, discussing what true GPU efficiency looks like. ✍️ Blogs If Coreweave Went On-Chain, It’d Look Like This — A deep dive into how centralized GPU providers could be reimagined through tokenization and TEE-secured workloads. 🎙️ AMAs - When AI Protects AI – QuillAI Network — Exploring how autonomous agents secure data without compromise. - Rebuild the AI Stack – NodeOps — A candid conversation on why infra is the foundation of scalable, ownable AI. From partnerships to protocol debates, we’re scaling the backbone of compute — and that means every layer matters.

Exabits Highlights — 21 July 2025 Infra innovation isn’t slowing down. Here’s what’s been happening across the stack: 🤝 Partnerships - NodeOps — Pushing programmable infrastructure forward with permissionless, verifiable compute. - Nosana — Expanding global GPU liquidity to meet the evolving demands of AI workloads. 📍 Events - Russ at SuperAI Singapore — On-ground with the APAC AI scene, sharing insights on cost-per-token economics. - Jonathan at ETHCC Cannes — Connecting with Ethereum’s dev core to talk tokenized compute and modular infra. - Russ at Permissionless NY — Powering infra conversations around scaling AI-native protocols. - Russ at GENAI SF — At the Palace of Fine Arts, discussing what true GPU efficiency looks like. ✍️ Blogs If Coreweave Went On-Chain, It’d Look Like This — A deep dive into how centralized GPU providers could be reimagined through tokenization and TEE-secured workloads. 🎙️ AMAs - When AI Protects AI – QuillAI Network — Exploring how autonomous agents secure data without compromise. - Rebuild the AI Stack – NodeOps — A candid conversation on why infra is the foundation of scalable, ownable AI. From partnerships to protocol debates, we’re scaling the backbone of compute — and that means every layer matters.

Exabits

63,784 Aufrufe • vor 1 Jahr

In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

In a first for India, homegrown startup Pixxel teams up with India’s AI unicorn Sarvam to take data centres to the orbit🚀 Pixxel Founder & CEO Awais Ahmed tells Shereen Bhan why the future of AI infrastructure may not be on Earth at all. ‘SpaceX now has announced its own plans for launching a million data center satellites.’ ‘We have seen what Sarvam has been doing the last few months with sovereign AI models that they've trained and running inference there, and we have been focused on what we can do with the infrastructure that we are building in Bangalore, to build and launch better, bigger, better, larger satellites.’ Powered by NVIDIA GPUs, the satellite will run sovereign AI models directly in space using solar energy, orbital cooling and real-time AI inference. And the timeline? ‘Let’s see what can be done with one satellite this year’ #YoungTurksReloaded #Pixxel #Sarvam #AI #SpaceTech #OrbitalDataCentre #NVIDIA #SovereignAI

CNBC-TV18

30,407 Aufrufe • vor 3 Monaten

Introducing PulseAI, where your data is your knowledge. PulseAI Platform is an agent-to-silicon AI infrastructure platform built to keep your data secure and sovereign, enabling the next AI enterprise. Offered in form factors for every stage of enterprise AI, PulseAI enables enterprise from initial pilot to hyperscale. Combining Gruve's AI-native services with NVIDIA-powered GPU architectures, it scales from 16 RTX 6000 PRO to 2,048 B300 GPUs, with security, storage, and compute integrated. The next enterprise is built on its own data and intelligence. We are here to enable it. Book your consultation: Read more on PulseAI from our Chief AI & Technology Officer Matt Robinson:

Introducing PulseAI, where your data is your knowledge. PulseAI Platform is an agent-to-silicon AI infrastructure platform built to keep your data secure and sovereign, enabling the next AI enterprise. Offered in form factors for every stage of enterprise AI, PulseAI enables enterprise from initial pilot to hyperscale. Combining Gruve's AI-native services with NVIDIA-powered GPU architectures, it scales from 16 RTX 6000 PRO to 2,048 B300 GPUs, with security, storage, and compute integrated. The next enterprise is built on its own data and intelligence. We are here to enable it. Book your consultation: Read more on PulseAI from our Chief AI & Technology Officer Matt Robinson:

Gruve

65,999 Aufrufe • vor 2 Monaten

The White House just launched the Genesis Mission and a new National Security Strategy. Doubling down on AI-driven discovery, energy dominance, and ironclad national security. Core requirement? Secure, tamper-proof data infrastructure and immutable tracking across defense and energy. That’s exactly what Constellation Network has been building and deploying at scale with Dept of War We’re not waiting for the future of secure data — we’re already running it. The transparency economy isn’t coming. It’s here. $DAG 🇺🇸

The White House just launched the Genesis Mission and a new National Security Strategy. Doubling down on AI-driven discovery, energy dominance, and ironclad national security. Core requirement? Secure, tamper-proof data infrastructure and immutable tracking across defense and energy. That’s exactly what Constellation Network has been building and deploying at scale with Dept of War We’re not waiting for the future of secure data — we’re already running it. The transparency economy isn’t coming. It’s here. $DAG 🇺🇸

Constellation²

10,616 Aufrufe • vor 8 Monaten

Infrastructure investing has entered a "golden age." From #AI data centers to energy pipelines and railroads, these essential assets are reshaping global capital markets. In this episode of The Bid #podcast, Balfe Morrison sits down with host Oscar Pulido to explore why infrastructure matters now, how mega forces are driving its growth, and what it means for investors. 🎧 Listen:

Infrastructure investing has entered a "golden age." From #AI data centers to energy pipelines and railroads, these essential assets are reshaping global capital markets. In this episode of The Bid #podcast, Balfe Morrison sits down with host Oscar Pulido to explore why infrastructure matters now, how mega forces are driving its growth, and what it means for investors. 🎧 Listen:

BlackRock

18,456 Aufrufe • vor 10 Monaten