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RTX 5090

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Headlines · 2

  1. Tsinghua open-sources Puro-2B: 2B pretraining on RTX 5090s for about $4,400

    A Tsinghua University team led by professors Chen Wenguang and Lyu Kaifeng released Puro-2B, a fully open pretraining recipe that publishes the training data, framework, configuration and model weights. The roughly 2B-parameter model was trained from scratch on a cluster of consumer RTX 5090 GPUs using up to 1.4 trillion tokens; on a 15-task evaluation, a version with about $4,400 of pretraining compute beat Qwen2-1.5B on average, while the $6,900 best version came close to Qwen2.5-1.5B on average. The team also fit a Puro Cost Scaling Law to estimate achievable quality at a given budget, combining hardware choice, FP8 training, the MuonH optimizer, Curriculum Model Averaging and data-slice evaluation.

    36氪 人工智能 · 🔥 8
  2. Chinese tech firms bought over 1M Nvidia gaming, workstation GPUs in a year, FT reports

    Chinese tech companies have bought more than 1 million Nvidia gaming and workstation GPUs this year to fill gaps in AI compute demand, according to a Financial Times report citing industry insiders. The chips are said to be mostly export-control-compliant models such as the RTX PRO 6000D, RTX PRO 5000 and RTX 5090, which lag Huawei's Ascend 910C and other domestic flagships on advanced AI work but remain useful for simpler workloads such as prefill. The report says China's domestic AI chip output roughly doubled this year to about 3.5 million units against demand well above 5 million, leaving a shortfall of nearly 1.5 million, and that Tencent has agreed to rent 100,000 GPUs in Southeast Asian data centers from Oracle, with ByteDance and Alibaba pursuing similar arrangements.

    Techmeme · 🔥 0

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