正在加载视频...

视频加载失败

返回首页

The future of AI data centers is HERE. Say goodbye to physical server limits with openEuler-powered SuperPoD. Our memory pooling breaks hardware boundaries, enabling massive heterogeneous fused memory. ️ Scale beyond computing. The SuperPoD evolution starts NOW.

openEuler's profile picture

openEuler

3,538 subscribers

10,361,702 次观看 • 4 个月前 •via X (Twitter)

新闻政治教育科学技术
LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Can't get enough of the insights? Here are more quotes from keynote speakers at openEuler Summit 2025. Dive into perspectives on AI-era OS innovation, heterogeneous and scalable architectures, industry practices, confidential computing, and ecosystem collaboration. 👇
0:52

Can't get enough of the insights? Here are more quotes from keynote speakers at openEuler Summit 2025. Dive into perspectives on AI-era OS innovation, heterogeneous and scalable architectures, industry practices, confidential computing, and ecosystem collaboration. 👇

openEuler

558,107 次观看 • 8 个月前

openEuler Summit 2025 gathered community and industry leaders to share their insights. Keynotes highlighted the AI-era OS vision, industry partnerships, ultra-large-scale computing, and ecosystem innovation. Here are some of the quotes that defined this summit 👇
0:47

openEuler Summit 2025 gathered community and industry leaders to share their insights. Keynotes highlighted the AI-era OS vision, industry partnerships, ultra-large-scale computing, and ecosystem innovation. Here are some of the quotes that defined this summit 👇

openEuler

554,098 次观看 • 8 个月前

HBM innovation knows no limits. From 8 layers to 12 layers, and now 16 layers—SK hynix keeps pushing the boundaries of AI memory. With up to 48GB capacity and 1.2TB/s+ bandwidth, our latest 16-Layer HBM takes AI performance to the next level. #SKhynix #HBM #AI #Memory
0:25

HBM innovation knows no limits. From 8 layers to 12 layers, and now 16 layers—SK hynix keeps pushing the boundaries of AI memory. With up to 48GB capacity and 1.2TB/s+ bandwidth, our latest 16-Layer HBM takes AI performance to the next level. #SKhynix #HBM #AI #Memory

SK hynix

15,059 次观看 • 1 年前

$MU $00060 $00530 $TSM Evolution of the AI Memory Hierarchy: HBM, DRAM, & SRAM Overview and Market Analysis The video outlines the strategic shift of modern computing toward a memory-centric architecture driven by the demands of generative AI. It explains that the industry is moving away from a traditional commodity model to a tightly coupled hierarchy of specialized technologies, where High Bandwidth Memory (HBM) and advanced packaging act as primary bottlenecks for performance. Leading manufacturers like SK hynix, Samsung, and Micron are navigating complex transitions to HBM4 and CXL-based expansion to overcome data movement constraints. Beyond the memory producers, the ecosystem relies on integration enablers like TSMC for packaging and specialized equipment providers for high-precision manufacturing. Ultimately, the analysis suggests that memory intensity and power efficiency have become the decisive factors in the success of gigawatt-scale data centers.
14:38

$MU $00060 $00530 $TSM Evolution of the AI Memory Hierarchy: HBM, DRAM, & SRAM Overview and Market Analysis The video outlines the strategic shift of modern computing toward a memory-centric architecture driven by the demands of generative AI. It explains that the industry is moving away from a traditional commodity model to a tightly coupled hierarchy of specialized technologies, where High Bandwidth Memory (HBM) and advanced packaging act as primary bottlenecks for performance. Leading manufacturers like SK hynix, Samsung, and Micron are navigating complex transitions to HBM4 and CXL-based expansion to overcome data movement constraints. Beyond the memory producers, the ecosystem relies on integration enablers like TSMC for packaging and specialized equipment providers for high-precision manufacturing. Ultimately, the analysis suggests that memory intensity and power efficiency have become the decisive factors in the success of gigawatt-scale data centers.

TheValueist

23,901 次观看 • 7 个月前

🎉 Ready for #FOSSASIASummit2024? So are we!🎉 Dive into the world of #openEuler with our lineup of sessions. Don't miss out – see you in #Hanoi, #Vietnam. Register at: For more about openEuler: #FOSSASIA #opensource #OS
0:27

🎉 Ready for #FOSSASIASummit2024? So are we!🎉 Dive into the world of #openEuler with our lineup of sessions. Don't miss out – see you in #Hanoi, #Vietnam. Register at: For more about openEuler: #FOSSASIA #opensource #OS

openEuler

1,555,277 次观看 • 2 年前

The next frontier of AI may not be on Earth. As SpaceX and other companies fuel a space boom, players around the world are racing to build data centers in orbit — betting the future of computing lies beyond our planet
2:29

The next frontier of AI may not be on Earth. As SpaceX and other companies fuel a space boom, players around the world are racing to build data centers in orbit — betting the future of computing lies beyond our planet

Bloomberg Originals

34,578 次观看 • 1 个月前

Internet Computer Just Activated a New Level of Security... DFINITY Foundation officially launches SEV Subnets on the Internet Computer to eliminate plaintext data exposure at the hardware level. This integration uses Secure Encrypted Virtualization (SEV) to ensure sensitive data remains encrypted even when viewed by entities with direct physical access to the server hardware. Engineering Lead Björn Tackmann confirms that this upgrade resolves a fundamental vulnerability in traditional cloud computing, in which data is processed in plaintext within the memory layer.
0:30

Internet Computer Just Activated a New Level of Security... DFINITY Foundation officially launches SEV Subnets on the Internet Computer to eliminate plaintext data exposure at the hardware level. This integration uses Secure Encrypted Virtualization (SEV) to ensure sensitive data remains encrypted even when viewed by entities with direct physical access to the server hardware. Engineering Lead Björn Tackmann confirms that this upgrade resolves a fundamental vulnerability in traditional cloud computing, in which data is processed in plaintext within the memory layer.

BSCN

32,437 次观看 • 1 个月前

Not just AI. Not just robotics. A full stack to make them work together. When systems align, BooM. openEuler brings embodied AI to real-world deployment. ▶️Watch now
1:21

Not just AI. Not just robotics. A full stack to make them work together. When systems align, BooM. openEuler brings embodied AI to real-world deployment. ▶️Watch now

openEuler

4,352,107 次观看 • 4 个月前

The Future of Content Creation is Here. Dreamina AI Video 3.0 Model and Image 3.0 with Smart Image Reference are now officially live👏 Say goodbye to creative limits. Let’s see what’s new? 👉 Try it here:
1:02

The Future of Content Creation is Here. Dreamina AI Video 3.0 Model and Image 3.0 with Smart Image Reference are now officially live👏 Say goodbye to creative limits. Let’s see what’s new? 👉 Try it here:

Dreamina AI

12,804 次观看 • 1 年前

🤝 Partner Spotlight: TongTech x openEuler We're diving deep into the middleware powering the next generation of digital infrastructure. Stable. Secure. Open. Catch the highlights from FOSSASIA Summit 2026 here↓
0:57

🤝 Partner Spotlight: TongTech x openEuler We're diving deep into the middleware powering the next generation of digital infrastructure. Stable. Secure. Open. Catch the highlights from FOSSASIA Summit 2026 here↓

openEuler

965,805 次观看 • 4 个月前

Curious about OpenAtom #openEuler? Grab our brochure and embark on a journey of #innovation with this thriving community. 🚀Meet our team and unlock endless possibilities in the world of #opensource. See you at #FOSSASIASummit2024!🌟 #FOSSASIA #OS #Vietnam #Hanoi
1:14

Curious about OpenAtom #openEuler? Grab our brochure and embark on a journey of #innovation with this thriving community. 🚀Meet our team and unlock endless possibilities in the world of #opensource. See you at #FOSSASIASummit2024!🌟 #FOSSASIA #OS #Vietnam #Hanoi

openEuler

1,502,903 次观看 • 2 年前

The future of shopping starts here – Roblox creators and brands can now sell physical merch in-game with our new Shopify integration, powered by our Commerce APIs. Plus, our new Authorized Merchandiser Program (AMP) lets sellers connect physical retail products to digital rewards.
0:21

The future of shopping starts here – Roblox creators and brands can now sell physical merch in-game with our new Shopify integration, powered by our Commerce APIs. Plus, our new Authorized Merchandiser Program (AMP) lets sellers connect physical retail products to digital rewards.

Roblox

484,905 次观看 • 1 年前

Stop copy-pasting from chatbots. openEuler Witty Dev Assistant doesn't just chat—it executes. Ask: Remote system orchestration. Code: Build & preview apps. Native IDE: Works with GitHub or offline projects. OS-level AI is finally here↓↓
2:08

Stop copy-pasting from chatbots. openEuler Witty Dev Assistant doesn't just chat—it executes. Ask: Remote system orchestration. Code: Build & preview apps. Native IDE: Works with GitHub or offline projects. OS-level AI is finally here↓↓

openEuler

1,066,249 次观看 • 4 个月前

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.
0:58

The AI boom just hit a wall nobody saw coming. And it's not software. It's not regulation. It's not even energy... It's memory chips. Right now, Dell is raising PC prices by 30%. Intel can't ship chips. Nvidia is slashing GPU production by 40%. And almost nobody understands why. Here's the "hidden" crisis the AI industry is trying to hide: AI data centers are hoarding memory. Not GPUs. Not processors. MEMORY. Every AI server needs massive amounts of high-bandwidth memory (HBM) to run those models everyone's hyping. One problem: There are only 3 companies in the world that can make it. Samsung. SK Hynix. Micron. That's it. And all 3 just diverted their entire production capacity away from normal RAM to feed AI data centers. The math that breaks everything: 1 gigabyte of HBM takes 4X the manufacturing capacity of regular DRAM. AI will consume 20% of global DRAM production in 2026. But the thing is, consumer demand for RAM didn't disappear. PCs still need memory. Phones still need memory. Cars still need memory. But there's no capacity left to make it. The price explosion: RAM prices are up 246% in the last 6 months. DDR5 contract prices jumped 100% month-over-month in some cases. Dell's CFO said he's "never witnessed costs escalating at this pace." SK Hynix and Micron? Sold out through all of 2026. Micron straight up EXITED the consumer memory market entirely to focus on AI customers. If you're not building an AI data center, you're not getting memory chips. AI data centers pay 3-5X margins compared to consumer products. So memory manufacturers are rationally choosing: Serve Microsoft and Google's AI buildout, or serve Dell's laptop business? Easy choice. Every wafer allocated to an Nvidia H100 GPU is a wafer DENIED to your next laptop. It's a zero-sum game. And consumers are losing. The dangerous cascade effect: Nvidia is cutting RTX 50-series GPU production by 30-40% because they can't get GDDR7 memory. Dell, Lenovo, HP are all raising PC prices 15-30% in early 2026. Xiaomi and other smartphone makers are cutting shipment targets. Even Intel's crash last week? Partially driven by memory shortages limiting chip production. This is a PERMANENT reallocation of the world's silicon capacity. Not a temporary supply hiccup. For decades, consumer electronics (phones, PCs, laptops) drove memory production. Now? AI data centers are the priority customer. And that priority shift is reshaping the entire tech economy. The timeline Is worse than you think: Industry analysts project shortages lasting through 2027, maybe 2028. Why? Because building new memory fabs takes 3-5 YEARS. Micron's new Idaho fab won't meaningfully impact supply until 2028. Samsung and SK Hynix are too busy ramping up HBM4 production to expand consumer DRAM. So we're stuck. AI companies need memory to scale. But producing that memory DESTROYS the supply chain for everything else. My question here: Everyone's betting on AI scaling infinitely. But what if the AI boom STALLS because there's not enough memory to support it? What if we're not in an "AI supercycle" but a "memory shortage that kills the AI buildout"? Intel crashed 17% because they can't manufacture enough chips. The root cause though? Memory shortages limiting what they can even produce. Nvidia is cutting GPU production by 40%. AMD is struggling to get GDDR6 for Radeon cards. This isn't just a consumer problem. It's an AI infrastructure problem. And if memory doesn't scale, AI doesn't scale. The AI industry sold you on infinite scaling. But they forgot to mention the part where there's only 3 companies making the memory chips that power everything. And all 3 just chose AI data centers over you. Even Nvidia can't make enough GPUs to meet demand. Not because of energy. Not because of regulation... But because the memory supply chain is BROKEN. And it won't be fixed until 2028.

Ricardo

594,643 次观看 • 6 个月前

⚠️The Secret Of AI Data Centers LEAKED! Thousands Of AI Data Centers Are Being Built In The US To Create 'World Foundation Models' For The Accelerated Evolution Of The New Digital Species That Will Then Invade The 3rd Dimension To Conquer Earth & The Universe Beyond! If You Want To Know What's Happening With The Insane Expansion Of AI, Don't Miss This Full Must-Watch Interview With AI Scientist Mike Adams! HealthRanger 🔴WATCH/SHARE THE LIVE X STREAM NOW:
1:01:58

⚠️The Secret Of AI Data Centers LEAKED! Thousands Of AI Data Centers Are Being Built In The US To Create 'World Foundation Models' For The Accelerated Evolution Of The New Digital Species That Will Then Invade The 3rd Dimension To Conquer Earth & The Universe Beyond! If You Want To Know What's Happening With The Insane Expansion Of AI, Don't Miss This Full Must-Watch Interview With AI Scientist Mike Adams! HealthRanger 🔴WATCH/SHARE THE LIVE X STREAM NOW:

Alex Jones

509,299 次观看 • 3 个月前

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇
0:52

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

FX1

23,913 次观看 • 1 年前

Right now, when you send a query to an LLM, it gets decrypted on the server. The LLM sees your data in plain text. Prof. Ajay Joshi (BU, CipherSonic AI ) on fully homomorphic encryption, which may be key for the future of AI privacy: how we can compute on data without ever decrypting it. The catch: it's a brutally memory-bound workload. Exactly the bottleneck wafer-scale was built to solve.
0:56

Right now, when you send a query to an LLM, it gets decrypted on the server. The LLM sees your data in plain text. Prof. Ajay Joshi (BU, CipherSonic AI ) on fully homomorphic encryption, which may be key for the future of AI privacy: how we can compute on data without ever decrypting it. The catch: it's a brutally memory-bound workload. Exactly the bottleneck wafer-scale was built to solve.

Cerebras

293,561 次观看 • 1 个月前

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀
4:49

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

Jack Huynh

47,822 次观看 • 2 个月前

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?
1:08

CARV envisions a new form of evolution for Artificial General Intelligence (AGI): one driven by the aggregation, sharing, and refinement of high-quality on-chain and off-chain data. To do that, CARV is building an AI chain ecosystem to enable data sovereignty at scale: • CARV SVM Chain, an AI agentic infrastructure that extends SVM's capabilities onto Ethereum. • D.A.T.A. Framework, powered by CARV ID, delivers high-quality on-chain and off-chain data, enriched with tags and metrics, enabling AI agents to learn, share, and evolve dynamically. • CARV Labs accelerates ecosystem growth in and beyond CARV’s ecosystem, spearheading innovation in the AI agentic infrastructure enabling data sovereignty with incubation, grants, and infrastructure. You build?

CARV

274,692 次观看 • 1 年前

A data center where compute and memory pool dynamically. Where millions of resources operate as one machine. Where architecture is defined by the needs of the workload, not the limits of connectivity. This vision of all-optical infrastructure points to a future with unprecedented scale, flexibility, and performance. Watch the closing moments from Marvell’s COMPUTEX 2026 keynote to see what’s possible. Watch the full keynote:
1:04

A data center where compute and memory pool dynamically. Where millions of resources operate as one machine. Where architecture is defined by the needs of the workload, not the limits of connectivity. This vision of all-optical infrastructure points to a future with unprecedented scale, flexibility, and performance. Watch the closing moments from Marvell’s COMPUTEX 2026 keynote to see what’s possible. Watch the full keynote:

Marvell Technology

29,256 次观看 • 9 天前