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$EOSE just launched Indensity which is a battery system built specifically for AI data centers that targets ~1 GWh per acre & ~4x the density of traditional storage. It directly addresses the core DC problem which is having steady, dispatchable power to keep GPUs fully utilized so this storage...

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Shay Boloor

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133,414 görüntüleme • 5 ay önce •via X (Twitter)

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Eos Energy in Focus (Full) $EOSE 🔋 Announcing Indensity: "1 GWh per acre battery energy storage, which is roughly four times that of most other technologies"
11:23

Eos Energy in Focus (Full) $EOSE 🔋 Announcing Indensity: "1 GWh per acre battery energy storage, which is roughly four times that of most other technologies"

Scott O

24,049 görüntüleme • 5 ay önce

Batteries Just Became AI Infrastructure Battery storage is already scaling—159 GW deployed globally, 926 GW projected by 2033. Renewables needed it first. Now AI needs it too. Tesla is deploying Megapacks at data centers. China is deploying 30 GW this year, integrating storage directly into AI buildout. Why? Data centers can’t scale without solving three problems: - 7-year interconnection queues - power quality GPUs demand - backup without diesel permits Batteries solve all three ↓
0:52

Batteries Just Became AI Infrastructure Battery storage is already scaling—159 GW deployed globally, 926 GW projected by 2033. Renewables needed it first. Now AI needs it too. Tesla is deploying Megapacks at data centers. China is deploying 30 GW this year, integrating storage directly into AI buildout. Why? Data centers can’t scale without solving three problems: - 7-year interconnection queues - power quality GPUs demand - backup without diesel permits Batteries solve all three ↓

Ask Perplexity

80,318 görüntüleme • 6 ay önce

NEWS: BYD has launched its next-generation battery energy storage system. It has a unit capacity of 14.5 MWh, the highest globally to date. The energy storage system achieves an ultra-large capacity of 10 MWh within a space equivalent to a 20-foot container, BYD said. For a 1 GWh storage plant, it will cut the number of required units by more than half, reduce land use by one-third, and trim cell count by 76%, according to the manufacturer. It uses BYD’s self-developed 2,710 Ah Blade Battery cell, which the company claims is the largest energy storage cell in the world. "This next-generation cell delivers three times the capacity of conventional storage batteries, boasts a cycle life of over 10,000 cycles, and reduces the total lifecycle cost per kilowatt-hour to below $0.014 – a milestone that could reshape the economics of large-scale storage." BYD says it can cut project-level levelized costs (LCOS) by 21.7%. For a typical 1 GWh installation, total costs related to equipment procurement, transportation, and installation are expected to drop by around 30%. In addition, BYD has launched its new GC Flux grid-forming inverter solution, which covers the 2.5–10 MW capacity range. According to BYD, the inverter boasts a performance level approximately 38% higher than common industry standards and a maximum power density of 1,474 kW/㎡, which is around 130% above typical values in today’s market. The system provides an overload capacity of up to 3x for 10 seconds and reaches a peak efficiency of 99.35%.
0:44

NEWS: BYD has launched its next-generation battery energy storage system. It has a unit capacity of 14.5 MWh, the highest globally to date. The energy storage system achieves an ultra-large capacity of 10 MWh within a space equivalent to a 20-foot container, BYD said. For a 1 GWh storage plant, it will cut the number of required units by more than half, reduce land use by one-third, and trim cell count by 76%, according to the manufacturer. It uses BYD’s self-developed 2,710 Ah Blade Battery cell, which the company claims is the largest energy storage cell in the world. "This next-generation cell delivers three times the capacity of conventional storage batteries, boasts a cycle life of over 10,000 cycles, and reduces the total lifecycle cost per kilowatt-hour to below $0.014 – a milestone that could reshape the economics of large-scale storage." BYD says it can cut project-level levelized costs (LCOS) by 21.7%. For a typical 1 GWh installation, total costs related to equipment procurement, transportation, and installation are expected to drop by around 30%. In addition, BYD has launched its new GC Flux grid-forming inverter solution, which covers the 2.5–10 MW capacity range. According to BYD, the inverter boasts a performance level approximately 38% higher than common industry standards and a maximum power density of 1,474 kW/㎡, which is around 130% above typical values in today’s market. The system provides an overload capacity of up to 3x for 10 seconds and reaches a peak efficiency of 99.35%.

Sawyer Merritt

384,738 görüntüleme • 9 ay önce

$NVDA CEO Jensen Huang says we're moving from retrieval to real-time intelligence which requires compute to be manufactured on demand rather than fetched from storage. That shift is why the world is now building AI factories instead of data centers.
2:10

$NVDA CEO Jensen Huang says we're moving from retrieval to real-time intelligence which requires compute to be manufactured on demand rather than fetched from storage. That shift is why the world is now building AI factories instead of data centers.

Shay Boloor

155,924 görüntüleme • 7 ay önce

As the U.S. shifts away from coal and gas emissions that warm the planet, battery storage is crucial for stabilizing the power grid. It enables renewable energy to supply power during periods without sun, wind or during grid-straining heat waves.
3:04

As the U.S. shifts away from coal and gas emissions that warm the planet, battery storage is crucial for stabilizing the power grid. It enables renewable energy to supply power during periods without sun, wind or during grid-straining heat waves.

CBS Evening News with Tony Dokoupil

16,303 görüntüleme • 1 yıl önce

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.
1:19

$NVDA CEO Jensen Huang said it clearly AI data centers need gigawatts of power. Power availability decides where they get built & GPUs do nothing if the grid cannot feed them. Value is moving to the companies that build & control power for AI.

Shay Boloor

361,924 görüntüleme • 7 ay önce

BREAKING: Tesla has announced Megablock, their next-generation battery energy storage system that uses the all-new redesigned Megapack version 3. Megapack V3 will be manufactured in Houston in late 2026, with a 50 GWh production capacity. • 23% faster installation • 248 MWh per acre • Can install 1 GWh in 20 business days, equivalent to power for 400,000 homes • Uses a supped up Model Y heat pump
0:47

BREAKING: Tesla has announced Megablock, their next-generation battery energy storage system that uses the all-new redesigned Megapack version 3. Megapack V3 will be manufactured in Houston in late 2026, with a 50 GWh production capacity. • 23% faster installation • 248 MWh per acre • Can install 1 GWh in 20 business days, equivalent to power for 400,000 homes • Uses a supped up Model Y heat pump

Sawyer Merritt

62,286 görüntüleme • 9 ay önce

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.
0:47

This is Amazon's new $11 billion AI data center campus in St. Joseph County, Indiana. It will draw 2.2 gigawatts of electricity - the output of a large power plant, enough to supply 1 million homes. For years the public was told energy had to be rationed: use less, dismantle reliable sources, accept scarcity - all to save the planet. That story has now been abandoned. AI requires massive continuous electricity to power the data centers, and AI is now seen as the superior control system. So energy is no longer a liability. It is a strategic necessity. Power will now come from wherever. Whatever works. Whatever scales. The climate narrative was tossed out the moment AI dominance became the new priority. Power was to be rationed. Now it is required. Power was the problem. Now it is the solution.

Electroverse

40,721 görüntüleme • 4 ay önce

Running software fully onchain requires two things: Compute capacity and storage capacity. The Internet Computer uses fully replicated storage: → All nodes store a complete copy of the data → Smart contracts can directly read and write → Feels like RAM in a program that runs forever → Enables interactive Web3 experiences like Web2 This is different from distributed storage where not all nodes have all the data. Replicated storage lets smart contracts compute on data during execution.
1:36

Running software fully onchain requires two things: Compute capacity and storage capacity. The Internet Computer uses fully replicated storage: → All nodes store a complete copy of the data → Smart contracts can directly read and write → Feels like RAM in a program that runs forever → Enables interactive Web3 experiences like Web2 This is different from distributed storage where not all nodes have all the data. Replicated storage lets smart contracts compute on data during execution.

DFINITY Foundation

19,427 görüntüleme • 6 ay önce

NEWS: A massive new $450 million Tesla Megapack battery energy storage system is now operational in Victoria, Australia. It's the biggest completed battery project on Australia’s main grid, and one of largest battery projects in the world. It features 444 Tesla Megapacks and three Toshiba 500kV HV transformers, for a total of 600 megawatts of capacity and 1,600 megawatt hours of storage. It will soak up excess wind & solar power during the daytime and shift that energy to the evening peaks.
1:55

NEWS: A massive new $450 million Tesla Megapack battery energy storage system is now operational in Victoria, Australia. It's the biggest completed battery project on Australia’s main grid, and one of largest battery projects in the world. It features 444 Tesla Megapacks and three Toshiba 500kV HV transformers, for a total of 600 megawatts of capacity and 1,600 megawatt hours of storage. It will soak up excess wind & solar power during the daytime and shift that energy to the evening peaks.

Sawyer Merritt

116,013 görüntüleme • 6 ay önce

🇺🇦🇷🇺 Ukraine hit Crimea’s only underground gas storage facility near Tarkhankut, triggering a fire at a key energy site for the occupied peninsula. Operators from Ukraine’s 413th SBS “Raid” Regiment reportedly used Fire Point medium-range drones to strike the Glebovskoye facility, which helps regulate gas supply during peak demand. The target matters because it supports the Balaklava and Tavricheskaya thermal power plants, which help power Russian military installations across Crimea. Writer: Sol
1:22

🇺🇦🇷🇺 Ukraine hit Crimea’s only underground gas storage facility near Tarkhankut, triggering a fire at a key energy site for the occupied peninsula. Operators from Ukraine’s 413th SBS “Raid” Regiment reportedly used Fire Point medium-range drones to strike the Glebovskoye facility, which helps regulate gas supply during peak demand. The target matters because it supports the Balaklava and Tavricheskaya thermal power plants, which help power Russian military installations across Crimea. Writer: Sol

Mario Nawfal

20,892 görüntüleme • 1 gün önce

Elon Musk explains the “series of miracles” xAI had to achieve to bring one gigawatt of power online for its supercomputer cluster in Memphis The xAI team coordinated dozens of gas turbines, faced permit challenges in Tennessee, and ultimately moved the power generation just across the border into Mississippi. From there, they had to run high-voltage transmission lines and build an entire power plant on the Mississippi side and it was very difficult to build that But the deeper point is even more important Most people calculate AI power needs by looking only at the GPUs. That is a serious mistake. A real data center also requires substantial power for networking, CPUs, storage, and most critically cooling In Memphis, where summer temperatures are extreme, peak cooling demand can add roughly 40% more power. On top of that, operators must maintain extra capacity so generators can be taken offline for servicing without shutting down the entire system. This redundancy typically adds another 20 to 25 percent When all of these factors are included, Elon stated that approximately 110,000 GB300 GPUs require roughly 330 megawatts of actual power generation This is why building and powering frontier AI data centers is far more difficult and far more capital intensive than it appears from the outside
2:43

Elon Musk explains the “series of miracles” xAI had to achieve to bring one gigawatt of power online for its supercomputer cluster in Memphis The xAI team coordinated dozens of gas turbines, faced permit challenges in Tennessee, and ultimately moved the power generation just across the border into Mississippi. From there, they had to run high-voltage transmission lines and build an entire power plant on the Mississippi side and it was very difficult to build that But the deeper point is even more important Most people calculate AI power needs by looking only at the GPUs. That is a serious mistake. A real data center also requires substantial power for networking, CPUs, storage, and most critically cooling In Memphis, where summer temperatures are extreme, peak cooling demand can add roughly 40% more power. On top of that, operators must maintain extra capacity so generators can be taken offline for servicing without shutting down the entire system. This redundancy typically adds another 20 to 25 percent When all of these factors are included, Elon stated that approximately 110,000 GB300 GPUs require roughly 330 megawatts of actual power generation This is why building and powering frontier AI data centers is far more difficult and far more capital intensive than it appears from the outside

X Freeze

140,203 görüntüleme • 1 ay önce

🔋 Ever wondered how batteries can strengthen a country's power grid? Our Energy Storage Lead Vadim Utkin explains how Ukraine's first utility-scale battery system is revolutionising its energy security: - What battery storage actually does - Why Ukraine needs it right now - How we built it during wartime - What it means for this winter Ukraine is the ultimate testing ground to demonstrate the resilience of this energy technology. Watch how we're opening a new chapter for Ukraine`s energy system.
0:54

🔋 Ever wondered how batteries can strengthen a country's power grid? Our Energy Storage Lead Vadim Utkin explains how Ukraine's first utility-scale battery system is revolutionising its energy security: - What battery storage actually does - Why Ukraine needs it right now - How we built it during wartime - What it means for this winter Ukraine is the ultimate testing ground to demonstrate the resilience of this energy technology. Watch how we're opening a new chapter for Ukraine`s energy system.

DTEK Group

3,103,231 görüntüleme • 9 ay önce

TESLA FLIPS THE SWITCH ON A MEGAPACK GIANT IN CALIFORNIA Tesla has brought a serious heavyweight online in Kern County, California: a Megapack battery system paired with 500 megawatts of solar generation. That combination puts the project among the largest solar plus storage sites in the United States, and it is now fully operational. At full output, the site can supply enough electricity to cover the annual needs of roughly 467,000 homes. More importantly, it does so when the grid actually needs it most. Power generated during sunny daytime hours is stored and then released in the evening, when demand spikes and solar production drops. That shift alone helps prevent outages and reduces reliance on gas peaker plants. The emissions impact is just as significant. The project is expected to cut more than one million metric tons of carbon dioxide every year, while adding real stability to a grid that has struggled during heat waves and peak demand events. California has quietly become the proving ground for large-scale battery storage, and this site shows why. Energy storage is no longer theoretical or niche. It is operational, reliable, and scalable. Tesla’s Megapack footprint keeps expanding worldwide, and projects like this make the case clearly. Clean energy is not just about generation anymore. It is about control, timing, and resilience. Source: Tesla Megapack
0:40

TESLA FLIPS THE SWITCH ON A MEGAPACK GIANT IN CALIFORNIA Tesla has brought a serious heavyweight online in Kern County, California: a Megapack battery system paired with 500 megawatts of solar generation. That combination puts the project among the largest solar plus storage sites in the United States, and it is now fully operational. At full output, the site can supply enough electricity to cover the annual needs of roughly 467,000 homes. More importantly, it does so when the grid actually needs it most. Power generated during sunny daytime hours is stored and then released in the evening, when demand spikes and solar production drops. That shift alone helps prevent outages and reduces reliance on gas peaker plants. The emissions impact is just as significant. The project is expected to cut more than one million metric tons of carbon dioxide every year, while adding real stability to a grid that has struggled during heat waves and peak demand events. California has quietly become the proving ground for large-scale battery storage, and this site shows why. Energy storage is no longer theoretical or niche. It is operational, reliable, and scalable. Tesla’s Megapack footprint keeps expanding worldwide, and projects like this make the case clearly. Clean energy is not just about generation anymore. It is about control, timing, and resilience. Source: Tesla Megapack

Mario Nawfal

67,663 görüntüleme • 6 ay önce

AI shouldn’t just belong to a few big companies 🤖 OORT | The Data Cloud for Decentralized AI is creating a decentralized AI cloud where your data, storage, and compute help power the next generation of AI , and you get rewarded for it. Global, transparent, and community-driven. Are you ready to join? 🌍⚡ #OORT #DecentralizedAI #Blockchain #Web3 #AICommunity #CryptoTech #DataRevolution #Onchain #Innovation #FutureOfAI
1:01

AI shouldn’t just belong to a few big companies 🤖 OORT | The Data Cloud for Decentralized AI is creating a decentralized AI cloud where your data, storage, and compute help power the next generation of AI , and you get rewarded for it. Global, transparent, and community-driven. Are you ready to join? 🌍⚡ #OORT #DecentralizedAI #Blockchain #Web3 #AICommunity #CryptoTech #DataRevolution #Onchain #Innovation #FutureOfAI

Sky Wee

194,597 görüntüleme • 5 ay önce

The truth that most people aren’t willing to swallow is that utility-scale battery storage is a massive waste of money in most cases. It’s better to invest in more baseload and dispatchable generation than battery storage, at least with current technology. There are innovations to be made and technological changes coming to make battery storage more economical and efficient, but we’re not there yet. Dr. Lars Schernikau
1:35

The truth that most people aren’t willing to swallow is that utility-scale battery storage is a massive waste of money in most cases. It’s better to invest in more baseload and dispatchable generation than battery storage, at least with current technology. There are innovations to be made and technological changes coming to make battery storage more economical and efficient, but we’re not there yet. Dr. Lars Schernikau

Dan Crenshaw

15,939 görüntüleme • 8 ay önce

Groq's LPU is faster than GPUs, handling requests and responding more quickly. Groq's LPUs don't need speedy data delivery like Nvidia GPUs do because they don't have HBM in their system. They use SRAM, which is about 20 times faster than what GPUs use. Since inference runs use way less data than model training, Groq's LPU is more energy-efficient. It reads less from external memory and uses less power than a Nvidia GPU for inference tasks. The LPU works differently from GPUs. It uses a Temporal Instruction Set Computer architecture, so it doesn't have to reload data from memory as often as GPUs do with High Bandwidth Memory (HBM). This helps avoid issues with HBM shortages and keeps costs down. If Groq's LPU is used in places that do AI processing, you might not need special storage for Nvidia GPUs. The LPU doesn't demand super-fast storage like GPUs do. Groq is claiming that its technology could replace GPUs in AI tasks with its powerful chip and software.
7:57

Groq's LPU is faster than GPUs, handling requests and responding more quickly. Groq's LPUs don't need speedy data delivery like Nvidia GPUs do because they don't have HBM in their system. They use SRAM, which is about 20 times faster than what GPUs use. Since inference runs use way less data than model training, Groq's LPU is more energy-efficient. It reads less from external memory and uses less power than a Nvidia GPU for inference tasks. The LPU works differently from GPUs. It uses a Temporal Instruction Set Computer architecture, so it doesn't have to reload data from memory as often as GPUs do with High Bandwidth Memory (HBM). This helps avoid issues with HBM shortages and keeps costs down. If Groq's LPU is used in places that do AI processing, you might not need special storage for Nvidia GPUs. The LPU doesn't demand super-fast storage like GPUs do. Groq is claiming that its technology could replace GPUs in AI tasks with its powerful chip and software.

Brian Roemmele

87,116 görüntüleme • 2 yıl önce

$EOSE builds long-duration energy storage batteries which are the kind the grid increasingly needs as AI data centers, electrification and manufacturing all push power demand higher. Their batteries can act like a shock absorber for the grid handling both rapid cycling and longer-duration discharge which is the combination utilities can't get from lithium alone. The bar was extremely low after Q4 and Q1 was the first real step toward rebuilding credibility but if Frontier Power USA works then Eos could move from a promising battery manufacturer with financing issues into a long-duration storage platform with its own project deployment engine.
0:48

$EOSE builds long-duration energy storage batteries which are the kind the grid increasingly needs as AI data centers, electrification and manufacturing all push power demand higher. Their batteries can act like a shock absorber for the grid handling both rapid cycling and longer-duration discharge which is the combination utilities can't get from lithium alone. The bar was extremely low after Q4 and Q1 was the first real step toward rebuilding credibility but if Frontier Power USA works then Eos could move from a promising battery manufacturer with financing issues into a long-duration storage platform with its own project deployment engine.

Shay Boloor

107,465 görüntüleme • 1 ay önce

🇨🇳 China is building AI data centers so fast that diesel generator factories are running full speed - producing 8 units per day just to keep up. Why diesel? Because AI infrastructure has become too important to rely on unstable power grids. This isn’t about backup power - it’s about AI going strategic. 💡 China’s AI wave is no longer theoretical. Real servers. Real deployments. 💥 Market for diesel generators in data centers: $1.4 billion in 2024 - over 100% growth YoY. And that’s just the infrastructure side of the AI explosion. While Washington is busy banning GPUs, China is busy building its own AI empire - from chip to cloud. No H100? No problem. The power switch is already on. ⚡
1:22

🇨🇳 China is building AI data centers so fast that diesel generator factories are running full speed - producing 8 units per day just to keep up. Why diesel? Because AI infrastructure has become too important to rely on unstable power grids. This isn’t about backup power - it’s about AI going strategic. 💡 China’s AI wave is no longer theoretical. Real servers. Real deployments. 💥 Market for diesel generators in data centers: $1.4 billion in 2024 - over 100% growth YoY. And that’s just the infrastructure side of the AI explosion. While Washington is busy banning GPUs, China is busy building its own AI empire - from chip to cloud. No H100? No problem. The power switch is already on. ⚡

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

226,078 görüntüleme • 1 yıl önce