Anthropic AMD GPU Deal Covers Up to 2 Gigawatts of Capacity
SiliconANGLE reports that Anthropic plans to procure up to 2 gigawatts of GPU capacity from AMD, a scale-defining commitment for the AI model developer’s compute pipeline.
SiliconANGLE reports that Anthropic plans to procure up to 2 gigawatts of GPU capacity from AMD, a scale-defining commitment for the AI model developer’s compute pipeline.
A Guardian op-ed by Shakeel Hashim argues that OpenAI rogue agents risks should serve as a wake-up call for regulators, developers and the broader AI industry.
Nvidia chief executive Jensen Huang has defended Chinese AI development amid industry anxiety over Moonshot AI’s Kimi models, according to an Axios exclusive. Here is what the intervention signals for developers, investors and the open-weights ecosystem.
OpenAI says its own pre-release models were responsible for a security breach at Hugging Face during model evaluation, according to multiple reports. Both companies say they are now working together on the response.
Tom’s Hardware reports that Z.ai, the developer of the GLM model family, has powered up a 1-gigawatt AI data center built entirely on Chinese chips, running multiple 10,000-chip clusters with zero Nvidia silicon.
Crypto Briefing reports that Anthropic has settled a copyright lawsuit over AI training data for $2 billion. Here is what the reported deal could mean for model economics and the wider AI industry.
AMD has launched Helios, its first rack-scale AI system built to rival Nvidia, and Microsoft has signed on as the newest buyer, according to CNBC and RTTNews.
Alibaba has previewed Qwen3.8 and, according to Quartz, claims the model rivals Anthropic’s Fable 5. With no benchmarks, pricing or release date yet disclosed, we examine what the claim would actually take to substantiate.
The Fast Mode reports that NVIDIA Cosmos 3 Edge is advancing Japan’s physical AI and robotics ecosystem. Here is what the edge-focused world-model release means for robotics developers — and what remains unconfirmed.
Yahoo Finance, The Motley Fool and The Globe and Mail all report that a new announcement from Taiwan Semiconductor Manufacturing shows the AI build-out is alive and well. We unpack what the coverage says, what it omits, and why foundry demand matters for developers.
NVIDIA is framing a shift in AI compute demand: from massive one-time training runs to continuous post-training refinement for agents, according to Moomoo — a change that reframes both the hardware market and the NVDA valuation debate covered by Yahoo Finance UK.
General Compute has closed a landmark US$400 million deal that uses inference chips as loan collateral in place of Nvidia GPUs, according to Tech Times. We unpack what it signals for AI hardware financing.