AI Cloud Infrastructure
Mapping the cloud infrastructure behind large-model training and inference: hyperscale data centers, GPU clusters, edge clouds and compute leasing — the supply side of the AI arms race.
Mapping the cloud infrastructure behind large-model training and inference: hyperscale data centers, GPU clusters, edge clouds and compute leasing — the supply side of the AI arms race.
The NVIDIA OpenShell Reference Architecture was launched at GTC Berlin on October 21, 2026, and NVIDIA's technical blog the same day laid out the full...
OpenAI models will officially arrive in Google Cloud's Model Garden in the coming weeks. On October 21, 2026, OpenAI announced the partnership: its fr...
NVIDIA taking over GTC Berlin is the unavoidable headline of the Oct 21 AI briefing: in the past 24 hours, Jensen Huang rolled out the in-production V...
Anthropic's draft IPO prospectus, seen by The Wall Street Journal and reported on October 20, 2026, shows a company growing at rare speed and spending...
SpaceX reported a changed business in its regulatory filing and third-quarter earnings call on October 20, 2026: quarterly revenue reached $14.6 billi...
llm-d 1.0 made its debut on October 20, 2026 at PyTorch Conference North America, with IBM Research announcing the release on its official blog. The K...
Anthropic and Nscale are in talks over a second compute deal worth about $45 billion: on October 19, 2026, Reuters cited a person familiar with the ma...
TorchNeuron is a native PyTorch backend that AWS built for its own AI chips, Trainium. On October 19, 2026, the official PyTorch blog introduced the o...