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Zhipu AI has launched GLM-Image, the first state-of-the-art multimodal model trained entirely on Hua...
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Zhipu AI has launched GLM-Image, the first state-of-the-art multimodal model trained entirely on Hua...

The AMW Read

The launch of a state-of-the-art multimodal model trained entirely on non-Nvidia (Huawei) silicon validates the Frame 2 debate regarding China's ability to decouple from Western hardware and compute architectures.
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Foundation Models · Case StudiesGeopoliticsSilicon Substrate
Zhipu AI
Zhipu AI

Foundation Models / LLMs

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Zhipu AI has launched GLM-Image, the first state-of-the-art multimodal model trained entirely on Huawei Ascend chips. Utilizing the Ascend 910C processor delivering 800 TFLOPS at FP16, the model demonstrates performance parity with restricted Western hardware. This achievement proves that China's AI ecosystem is successfully decoupling from Nvidia’s CUDA architecture. The move to sovereign infrastructure signals a permanent bifurcation of global AI hardware standards. 🚀

#AI #Huawei #ZhipuAI #Innovation

How This Connects

Based on Foundation Models · Case Studies

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  4. 1w agoAlibaba's Qwen team has open-sourced Qwen3.8-27B, a 27-billion-parameter multimodal model designed f...Qwen
  5. 1mo agoDeepSeek begins developing custom AI inference chips to reduce dual dependency on NVIDIA and Huawei.DeepSeek
  6. 7mo agoZhipu AI has launched GLM-Image, the first state-of-the-art multimodal model trained entirely on Hua... · THIS ARTICLE

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