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DeepSeek's research indicates that Huawei's Ascend 910C AI chip achieves 60% of the inference power of NVIDIA's H100, showcasing China's advancements in AI technology amid U.S. restrictions. Built on SMIC's 7nm process, the Ascend 910C features 53 billion transistors but still lags in AI training reliability compared to NVIDIA's established ecosystem.Additionally, the U.S. government is investigating whether DeepSeek illegally acquired NVIDIA chips, while President Trump plans to impose tariffs on chips and other sectors by February 18.
Huawei's Ascend 910C processor achieves 60% of Nvidia's H100 inference performance, showcasing significant advancements despite U.S. sanctions. While it excels in inference, challenges remain in AI training reliability, where Nvidia still leads. The chip, built using SMIC's 7nm technology, aims to reduce China's dependence on Nvidia GPUs.
Huawei's Ascend 910C chips are powering the DeepSeek R1 AI model, which has quickly gained traction, challenging Nvidia's dominance in the AI sector. While the R1 was trained on Nvidia's H100 chips, its inference capabilities leverage Huawei's technology, showcasing China's growing support for domestic products. Despite the Ascend 910C being slightly less powerful than the H100, it offers lower energy costs and higher efficiency, allowing DeepSeek R1 to outperform U.S. competitors like OpenAI's ChatGPT and Google Gemini.
Huawei has introduced DeepSeek-optimized inference support for its Ascend AI GPUs, launching the distilled R1 AI model for free on its ModelArts Studio platform. This model, trained on Nvidia's H800 GPUs, is now compatible with Huawei's Ascend GPUs, potentially reducing reliance on Western technology amid ongoing US export restrictions. The Ascend 910C GPU reportedly achieves 60% of the performance of Nvidia's H100, marking a significant step towards China's technological independence in AI processing.
Hyperbolic has secured $12 million in a Series A funding round led by Variant and Polychain Capital, bringing its total funding to $20 million. The San Francisco-based startup is developing a decentralized GPU marketplace and AI inference services, addressing the need for affordable computing power. With plans to launch its own blockchain in 2025, Hyperbolic aims to enhance AI infrastructure governance and is already serving major players like Hugging Face and Stanford.
Yuchen Jin
People
The information provided herein is generated by experimental artificial intelligence and is for informational purposes only.
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