One verified AI story, every morning.
113 article(s)
Google's first Vera Rubin NVL72 instances have one early customer and a fabric Google says can span up to 960,000 Rubin GPUs across sites. Pricing, specs and regions are still unpublished.
4 min read
A new ttl option keeps cached prefixes eligible for discounted reads for at least 12 hours instead of 30 minutes. Writes cost 2.5x the input price, so it only pays off when the same prefix is reused across long gaps.
4 min read
New EU oversight of Microsoft engineer access is rolling out now; the on-premises AI pieces are scheduled for Ignite, and key details such as the model catalog are still unpublished.
4 min read
The Shashua-led lab claims 38x faster data pipelines and 4.5x faster inference kernels, with formal proofs that behavior is unchanged. All figures are its own.
3 min read
A Tuesday deadline on whether GPU hours and inference tokens can back futures contracts, IBM's results Wednesday, and model shutdowns at Google and OpenAI on Thursday and Friday.
4 min read
Meta and Google priced frontier APIs at the same point, Meta, NVIDIA and Reflection released large open weights under very different licenses, and RTX Spark laptops went on sale. Nearly every benchmark was the vendor's own.
5 min read
The first model from the Nvidia-backed U.S. lab is now downloadable under a standard permissive license. Its efficiency pitch is promising but still unverified.
4 min read
Nine Arm-based Windows laptops from six PC makers are available today. The headline 128GB and 1-petaflop figures describe the top configurations.
3 min read
The open-weight Muse Spark is built for coding agents and can be self-hosted, but it needs hundreds of gigabytes of memory, and its capability claims are Meta's own.
4 min read
The five-year donation is GPU access worth $50 million a year, routed through U.K. cloud partners. Oxford's BOLD, UCL's SOFAIR and Imperial get a share.
3 min read
Google opened its frontier model to API developers and paying subscribers on October 13. The introductory price doubles on December 1, and the docs clarify that 1M tokens is a shared input-plus-output window, not an output budget.
5 min read
Three days before RTX Spark laptops go on sale, NVIDIA released PAIR 1.0 with llama.cpp support and said PyTorch-CUDA, native Python and Conda builds for Windows on Arm are ready. Most performance figures come from NVIDIA itself.
3 min read
Researched with AI assistance and verified against primary sources before publishing. Every claim links to where it came from.
