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  1. TechCrunchRumor

    Anthropic reportedly struggles to secure cloud compute as providers turn competitive

    Cloud providers reportedly increasingly view Anthropic as a competitor while its infrastructure spending balloons ahead of a planned November IPO.

  2. TechCrunchConfirmed

    Google releases a PyTorch developer tool to move apps off Nvidia GPUs

    Google follows Amazon with a developer tool that helps PyTorch users shift their apps off Nvidia GPUs.

  3. r/LocalLLaMACommunity

    Intel Arc Pro B65 four-GPU rig posts long-context throughput sweeps for Qwen3.8 models

    8 Flash-Next and 27B models on 1x to 4x Intel B65 setups with vLLM, reporting output throughput across context lengths up to 200K. Results include queueing effects and are not model-quality scores.

  4. r/LocalLLaMAResearch

    Paper introduces COUNT, an n-gram method that scales language models on host memory

    COUNT stores precomputed n-gram counts on host RAM instead of training learned embeddings, and reportedly matches a model with 57% more compute for 1B-parameter pretraining. The results come from an arXiv paper shared on Reddit and are not independently verified.

  5. TechCrunchRumor

    Nscale and Anthropic reportedly in talks on another $45B compute deal

    According to TechCrunch, the two companies are in talks over a deal worth about $45 billion, which would be another large compute agreement for Anthropic. The report is not yet confirmed by either party.

  6. The VergeConfirmed

    CoreWeave's bonds fall into distressed territory as shares drop over 20 percent

    CoreWeave's bonds slipped into distressed territory, with yields about 1,000 basis points above government bonds. Its shares are down more than 20 percent since the prior Tuesday's close, and other AI stocks saw some spillover.

  7. TechCrunch and 1 moreConfirmed

    Hugging Face publishes TorchNeuron guide for running Hugging Face models on AWS Trainium

    The post covers running Hugging Face models on AWS Trainium chips through the TorchNeuron PyTorch backend, presented as a simpler path than before.