GPUs

GPUs are specialized microprocessors used to train and run artificial intelligence models efficiently. Truncated covers hardware supply chains, production capacities, allocation strategies and industry demand.

Yesterday · Tue 10 Nov

Monday 9 November

CoreWeave to Power Wayve's AI Driver Training in Multi-Year Agreement

AI-generated summary CoreWeave announced a multi-year agreement with Wayve to power its artificial intelligence driver training using CoreWeave Cloud with NVIDIA Blackwell GPUs. Wayve says the cloud infrastructure helps accelerate the commercial deployment of its artificial intelligence driver by providing reliability and observability.

Also covered by datacenterdynamics.com Unite.AI TNW | Artificial-intelligence
+1 moreSecurities.io

China repeats Jensen Huang spy denial, sidesteps chips

China repeats Jensen Huang spy denial, sidesteps chips

AI-generated summary China's Foreign Ministry repeated its denial of a reported spy allegation involving Nvidia chief executive Jensen Huang and called it a smear against China. Nvidia shares dropped 5.0% to $177.32 in premarket trading following reports regarding national security concerns and chip import restrictions.

Also covered by Fox Business semafor.com Yahoo Finance
+3 moreNew York Post South China Morning Post Investing.com

A used RTX 3090 is still the best GPU for local AI, and it beats most new cards on value

AI-generated summary The Nvidia GeForce RTX 3090 offers 24 GB of VRAM, making it a capable hardware choice for running local large language models and other AI workloads. While the Nvidia GeForce RTX 3090 is no longer in production, it provides an alternative for users seeking memory capacity comparable to newer cards like the RTX 5070 Ti, RTX 5080, and RTX 5090.

Apple’s $2,899 MacBook PROLED hides a massive unified memory bottleneck — why I think power users should abandon macOS for Nvidia RTX Spark and AMD Strix Halo

AI-generated summary The author argues that Apple designed the 2,899 dollar MacBook PROLED as a luxury device with a unified memory bottleneck rather than a computer built for local artificial intelligence. The reviewer suggests that power users focused on local workloads should instead consider Windows alternatives featuring Nvidia RTX Spark and AMD Strix Halo chips.

Sunday 8 November

Saturday 7 November

Friday 6 November

A Kitchen Slide Manufacturer Controls Up To 90 Percent Of The AI Server Market, Thanks To Precise Manufacturing Of Racks Housing Multi-Million GPU Clusters

AI-generated summary Taiwanese manufacturer King Slide Works commands an estimated 70 to 90 percent market share in precision slide rails used for high-end AI server racks. The company holds approximately 3,750 patents and has approved more than 600 million dollars in capital expenditure to build a new manufacturing plant.