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日本語(JA) 📝 「訓練の民主化」が始まる——HuaweiのAscend 910CがNVIDIA依存からの脱却を加速させる理由 Huaweiの最先端チップ「Ascend 910C」がDeepSeek-V4-Proのポストトレーニングに成功。これは単なる技術的成果ではなく、AI訓練リソースの地政学的な分散化を意味している。 🔗 htt

Huawei chips train 1.6T parameter DeepSeek model, boosting China's AI

By PulseAugur Editorial · [7 sources] ·

A research group, including Huawei and institutions from Shenzhen, claims to have successfully completed full-parameter post-training on DeepSeek's 1.6 trillion parameter V4-Pro model. This was achieved using a cluster of at least 1,000 Huawei Ascend 910C AI chips. This development is seen as a significant step towards China's AI self-reliance, particularly in overcoming challenges with training complex models on domestic hardware, though specific performance benchmarks are currently absent. AI

IMPACT Demonstrates progress in China's domestic AI training capabilities, potentially reducing reliance on foreign hardware for complex model refinement.

RANK_REASON The cluster reports on a research milestone involving the post-training of a large AI model using domestic Chinese hardware, aiming to advance AI self-reliance.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 7 sources. How we write summaries →

Huawei chips train 1.6T parameter DeepSeek model, boosting China's AI

COVERAGE [7]

  1. SCMP — Tech TIER_1 English(EN) · Coco Feng ·

    Huawei chips refine DeepSeek model in major leap for China’s AI self-reliance

    A research team that includes Huawei Technologies says it has successfully used the firm’s Ascend 910C chips to complete post-training for the DeepSeek-V4-Pro model, marking a major step forward as China’s semiconductor industry tries to leap from supporting basic AI inference to…

  2. Tom's Hardware TIER_1 English(EN) · Luke James ·

    Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training

    A research group that includes Huawei Technologies says it completed full-parameter post-training of DeepSeek's V4-Pro, a 1.6-trillion-parameter model.

  3. Mastodon — sigmoid.social TIER_1 日本語(JA) · [email protected] ·

    📝 The Democratization of Training Begins - Why Huawei's Ascend 910C Accelerates the Break from NVIDIA Dependency. Huawei's cutting-edge chip 'Ascend 910C' successfully post-trained DeepSeek-V4-Pro. This is not just a technological achievement, but signifies the geopolitical decentralization of AI training resources. 🔗 htt

    📝 「訓練の民主化」が始まる——HuaweiのAscend 910CがNVIDIA依存からの脱却を加速させる理由 Huaweiの最先端チップ「Ascend 910C」がDeepSeek-V4-Proのポストトレーニングに成功。これは単なる技術的成果ではなく、AI訓練リソースの地政学的な分散化を意味している。 🔗 https:// techscope365.com/1010/ # AI訓練 # Huawei # Ascend910C # AI # テクノロジー

    LINKS techscope365.com/1010
  4. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    DeepSeek V4 and Huawei Ascend: A powerful day 0 partnership that shows the future of AI Huawei is doing great with domestic development and in-house Ascend AI c

    DeepSeek V4 and Huawei Ascend: A powerful day 0 partnership that shows the future of AI Huawei is doing great with domestic development and in-house Ascend AI chips, while DeepSeek just dropped its... #Huawei #AI #DeepSeek #DeepSeek #V4 #Huawei #Ascend Origin | Interest | Match

    LINKS huaweicentral.com/deepseek-v4-and-huawei-… awakari.com/sub-details.html awakari.com/pub-msg.html
  5. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Huawei's Ascend 910C chips have completed full-parameter post-training of a 1.6 trillion-parameter DeepSeek-V4-Pro model - the first time China's homegrown chip

    Huawei's Ascend 910C chips have completed full-parameter post-training of a 1.6 trillion-parameter DeepSeek-V4-Pro model - the first time China's homegrown chips have powered a model at this scale through the entire training pipeline. The breakthrough demonstrates China can now s…

    LINKS pandaily.com/ascend-910c-1-6-trillion-par…
  6. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training A research group that includes Huawei

    Huawei-led team claims it post-trained DeepSeek's 1.6-trillion-parameter model — 1,000 Ascend 910C chips used in training A research group that includes Huawei Technologies says it completed full-parameter post-training of DeepSeek's V4-Pro, a 1.6-trillion-parameter model. https:…

    LINKS tomshardware.com/…/huawei-led-team-claims… tomshardware.com/tech-industry
  7. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Huawei AI chips used for DeepSeek V4 training, after success in inference DeepSeek V4 series runs on Huawei AI chips for inference but in the latest scenario, a

    Huawei AI chips used for DeepSeek V4 training, after success in inference DeepSeek V4 series runs on Huawei AI chips for inference but in the latest scenario, a research company has used Ascend pro... #Huawei #AI #Ascend #Chips #DeepSeek #V4 #Pro #Training Origin | Interest | Mat…

    LINKS huaweicentral.com/huawei-ai-chips-used-fo… awakari.com/sub-details.html awakari.com/pub-msg.html

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