
After stock crashes and Firmus's scrapped IPO, industry executives expect only seven to ten of the hundreds of AI cloud providers to survive. CoreWeave lost a quarter of its market value, and Microsoft pulled out of a deal with Nscale for 23,000 Nvidia chips. Nvidia has a lot riding on the outcome, since customers outside the hyperscalers make up 45 percent of its data center revenue. The article The neocloud shakeout is coming, and Nvidia has the most to lose appeared first on The Deco
Hundreds of AI cloud providers are entering the market, but industry experts predict that only a small fraction of them will survive the coming consolidation. Nvidia faces significant risk because nearly half of its data center revenue comes from customers outside major tech companies, including these emerging cloud providers, and the chipmaker is actively supporting them through investments, chip allocations, loan guarantees, and help locating power sources. The sector is already showing signs of strain, with stock declines, canceled IPOs, and power availability challenges at planned data center sites. Analysts warn that even if all announced projects are completed, an oversupply of computing capacity will eventually drive prices down.
Explainer: What Is a Neocloud? Why AI Chipmakers Are Becoming Cloud Providers
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Amazon wants to break Nvidia’s hold on PyTorch, the free toolkit used to build most AI apps, so that more developers run their apps on alternative chips like its own.

In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industrial applications of AI. Huang opened by tracing NVIDIA’s longstanding relationship with German industry, beginning with gaming systems, workstations and automotive design in the early 2000s and leading to today’s partnerships in autonomous vehicle development and digital twins for man

Not a week goes without another piece of datacenter FUD. We’ve already debunked depth why moratoriums aren’t as impactful as one may think. Despite that, many still misunderstand the pace of the global AI datacenter buildout. Just the other week, Brad Gerstner from Altimeter showed our data on the All-In Podcast and stated that “SemiAnalysis’ forecast of +43GW in 2027 is too aggressive” and that he thought only about 25GW would get built, close to half of our numbe

NVIDIA has released the full NVIDIA Run:ai platform as open source software. The source code ships under the Apache 2.0 license on GitHub. NVIDIA Run:ai open source puts production GPU scheduling, quotas and workload management in developers’ hands. The release, makes Run:ai part of the NVIDIA DSX AI Factory platform. Platform teams can now inspect, fork and self-host the stack without a paid subscription. TL;DR Size: Monorepo with control plane, cluster services, installer, CLI an

Nvidia CEO Jensen Huang announced $2 billion in European investments and new stakes in French startups like Doctolib and Entalpic. The UK gets $250 million in compute for AI agent safety and security research. Huang pitched open-weight models as Europe's way to close the AI gap. The article Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs appeared first on The Decoder.

The founders detailed how their startup is developing AI that can design chips, learn from each iteration, and improve subsequent designs, all with the goal of automating and accelerating the chip design process.