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.
Claude's in-country inference in India officially launched on October 5, 2026: Anthropic announced that day that Claude Opus 5, Claude Sonnet 5, and C...
The Jalapeño chip has entered internal deployment at OpenAI, and the host configuration beside it has just been confirmed. On October 2, 2026, Tom's H...
AI agents are moving from demos into always-on workloads, but how many could run at the same time? In a report published on October 2, 2026, titled "H...
Project Suncatcher is Google's long-term research program exploring whether machine learning infrastructure could one day be hosted in space. On Octob...
The privacy guarantees behind federated learning training data have long rested largely on users trusting the server operator. On October 2, 2026, Goo...
Amazon is starting to spend money outside the data center itself, on the tightest bottleneck in its expansion. On October 2, 2026, AWS Chief Executive...
Cloudflare Clef was officially released by Cloudflare through its official blog on October 1, 2026, as the first models trained in-house by the Worker...
Modal VM Sandboxes went generally available on October 1, 2026, the AI cloud infrastructure company announced on its official blog: full Linux virtual...