China is shifting its AI compute race toward supernodes as cloud providers and model developers seek domestic infrastructure for large-model training and inference. Huawei positioned its Atlas 950 system as part of the move to high-capacity local clusters.
Domestic infrastructure is increasingly viewed as essential amid constraints on foreign technology access.
The supernode approach marks a departure from earlier distributed computing strategies.
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Anthropic released Claude Haiku 5.5, its cheapest and fastest small model, at $0.10 per million input tokens and $0.50 per million output tokens for prompts up to 100,000 tokens. Anthropic says it costs around 75% less to run than Haiku 4.5 on average and scores far higher on its benchmarks.
OpenAI released 722 mathematical manuscripts, grouped into 372 result families, produced by an unreleased internal model. The papers are on GitHub, with Lean formalizations for many but not all of them, and OpenAI warns some unformalized results could have issues.
Meta and Microsoft are cutting employee use of Anthropic’s Claude AI and directing staff toward their own coding tools, The Information reported. The changes reflect tighter internal AI budgets while customer access to Claude through Microsoft platforms continues to expand.
Microsoft has introduced a local edition of MAI-Code-1.1-Flash that runs on Windows PCs without server access. The model requires substantial memory and is coming to GitHub Copilot in experimental preview by the end of October, starting with Nvidia RTX Spark PCs.
At its Windows and Surface event, Microsoft opened preorders for the $2,599 Surface Laptop Ultra and the $5,999 Surface RTX Spark Dev Box, and said Copilot will be able to use files and act across Windows in the coming months.
