General Compute is betting SambaNova will be the next breakout chipmaker.

A Harvard grad with a PhD from UC Berkeley, Eric Tulsky is not a typical NHL GM. Is what he's building in Carolina the future of hockey?

Chipmaker also invests $1.5bn into energy company founded as part of SoftBank Group

Daily AI research, tech audits, and innovation insights from Neon Innovation Lab.

Leopold Aschenbrenner, June 2024 You can see the future first in San Francisco. Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trill...

#DeepSeek founder #LiangWenfeng believes #AGI is a tide no company can own and advocates for #OpenSourceAI to benefit businesses. He argues that #China’s gap with the #US in #AI is primarily due to #computepower, not talent, and envisions a future where AI is a shared resource, not a monopoly. DeepSeek will focus on language models, chains of thought, agents, and continual learning, leaving areas like video generation to the broader ecosystem. https://www.fredgao.com/p/deepseeks-liang-wenfeng-breaks-his?eicker.news #tech #media #news

Forget the code. The future of Artificial Intelligence won't be written in Python; it will be built with steel, silicon, and nuclear power. Welcome to the podcast that exposes the best-kept secret of the AI revolution: the software is a ghost, but the machine is a monster with an insatiable appetite for energy. We're taking you behind the headlines of OpenAI and Nvidia to reveal the shadow war being fought for compute power—the real currency of the 21st century. You'll hear how titans like Elon Musk and Sam Altman aren't just building algorithms; they're planning to harness terawatt scales of electricity, equivalent to the output of entire nations, just to power the next generation of AI infrastructure. We'll deconstruct Altman's audacious plan to build a "machine that builds machines"—a factory that churns out a gigawatt of new data centers every week. This is a story of brutal physics meeting exponential ambition. We'll investigate the crippling scarcity of AI chips, the monumental challenge of scaling our power grid, and why figures like Altman are now pouring billions into next-generation energy companies like Helion Energy. This isn't just about smarter AI; it's an arms race for the planet's power. If you're ready to understand the unseen physical foundation upon which our digital future is being built, hit that subscribe button. The real revolution isn't happening on your screen; it's happening in our power plants.

Ever feel like your attention is the grand prize in a trillion-dollar war you never signed up for? It is. And after OpenAI's Dev Day, the battle just went nuclear. Welcome to "THRILLING THREADS," the podcast that decodes the high-stakes chess match of the AI Arms Race. In this episode, we're unpacking OpenAI's audacious bid to become the "everything app," and how Google and Meta are scrambling to respond in the escalating battle for human attention. We'll dissect the jaw-dropping statistics that prove we're at a critical moment in history—where AI-generated tokens are about to outnumber all the words ever spoken by humans. But this isn't just about software. The secret sauce is compute power. We'll follow the money, revealing the trillion-dollar investments pouring into data centers and the strategic GPU partnerships—like the game-changing alliance between AMD and OpenAI—that are the true fuel for this revolution. We'll also connect the dots to advancements in robotics, from Tesla's FSD to DeepMind's latest models. This is a thrilling, engaging, and insanely shareable look at the real forces shaping your future, from the code on your screen to the chips in the cloud. This isn't just tech news; it's the blueprint for the next decade of human history. Subscribe to "THRILLING THREADS" now to understand the forces at play, and share this with anyone who wants to know who's really winning the future.

Industry-leading quality, factory pre-assembly, and modular design facilitate rapid integration of systems and liquid cooling components, shortening Time-to-Online (TTO) Ten Rack models available in 44OU, 48U, 48OU, and 52U configurations for same-day data center integration to support a wide range of deployments Certified for up to over 5500 lb./2,500 kg static load capacity to maximize compute power per rack, enabling higher compute densities and optimal space utilization SAN JOSE, Calif., July 31, 2026 /PRNewswire/ — Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions® (DCBBS), today announced […]

To contextualize DeepSeek’s disruption, let's consider the broader shift in AI being driven by the scarcity of training data.Read More

Intel expands its AI infrastructure strategy with Xeon 6 processors targeting enterprise AI and data center workloads.