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Hugging Face shared training compute rises from $40 million to about $1 billion

Thomas Wolf, citing his own post, said that the value of training compute shared on the Hugging Face Hub by Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, Mistral and about 30 other labs has approached $1 billion, compared with less than $40 million at the end of 2023. He called this a conservative lower bound: about half comes from official compute figures, the rest is estimated, and it does not yet include the roughly 900,000 community fine-tunes.

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Amazon SageMaker JumpStart 2026 Progress Review

From January to September 2026, Amazon SageMaker JumpStart added more than 100 models from 30 providers, of which Alibaba (Qwen) contributed 29, NVIDIA 17, Mistral 7, Google 6 Gemma 4 variants, IBM 4, and Cohere 4. The new models cover multimodal, speech, image, and video generation, and introduce quantized and compact models such as GLM-5.2 FP8 and JetBrains Mellum2-12B to reduce inference costs.

Inception releases flagship diffusion large model Mercury 3

Inception released the diffusion-architecture large model Mercury 3 on October 19, 2026, claiming it surpasses GPT-6 Luna and Claude Haiku 5.5 on multiple benchmarks, reaches a speed of 1068 tokens/s on NVIDIA GPUs, and increases the context window from 260,000 in Mercury 2.5 to 1 million tokens. The launch price is $0.10 per million input tokens and $0.35 for output, with regular pricing at $0.20 and $0.70, and cached input at $0.02. Mercury 3 can be accessed via the Inception API, OpenRouter, Baseten, and Vercel, and is compatible with the OpenAI API; Mercury 2 and 2.5 are no longer available to new users, and existing customers can use them until November 15, 2026.

Meta Details Prometheus Supercomputer: Has Trained Muse Models, Plans to Scale to About 1 Million GPUs

Meta's engineering team has published technical details of the Prometheus supercomputer, confirming that the first phase has trained the Muse family of foundation models (including Muse Wonder) and that it plans to scale the system to about 1 million GPUs. The cluster is located in New Albany, Ohio, currently consists of hundreds of thousands of GPUs, and runs as a single machine; Muse Wonder achieved pretraining goodput above 85% and reinforcement learning above 90%. Meta also disclosed two platforms—Catalina based on NVIDIA GB200 NVL72 and Clemente based on GB300 NVL72—as well as the upcoming Vera Rubin NVL72 platform.

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The training compute shared on Hugging Face is worth nearly $1 billion

Thomas Wolf estimates that the value of training compute shared on the Hugging Face Hub by about 30-plus labs, including Meta, NVIDIA, Alibaba, DeepSeek, Moonshot, and Mistral, is approaching $1 billion, and it can be downloaded for free; at the end of 2023, that figure was still less than $40 million. He calls this number a lower bound: about half comes from official compute data, the rest is reasonable inference, and it does not yet include the roughly 900,000 community fine-tuned models.

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Microsoft Surface Laptop Ultra 128GB Review: Powered by RTX Spark N1X

The Microsoft Surface Laptop Ultra is one of the first Windows laptops to feature the NVIDIA RTX Spark N1X (the consumer brand of the GB10 SoC), offered in 18-core and 20-core versions, with up to 128GB of LPDDR5X memory and a 1TB PCIe Gen5 SSD. This 15-inch model weighs 2.0kg and is 19.16mm thick, and features a 3270×2180 PixelSense touchscreen with support for a 120Hz variable refresh rate and up to 2000 nits of brightness, positioned to compete with Apple's MacBook Pro.