Observed Signal · Feb 12, 2026 · Technical Release · Source: Trending Topics · Impact: 4/5 · Sentiment: Positive
Zhipu AI Unveils GLM-5, Open-Source LLM Trained on Huawei Chips
Chinese AI company Zhipu AI unveiled GLM-5, a 745-billion-parameter Mixture-of-Experts LLM with 44 billion active parameters, trained exclusively on Huawei Ascend chips using the MindSpore framework. Expected to be released under the MIT license, the model supports 200,000-token context windows and uses DeepSeek Sparse Attention. Zhipu AI says GLM-5 leads open-source models in logical reasoning, programming, and agent tasks, and performs competitively against proprietary systems such as GPT-5 and Claude Opus 4.5. The release follows a Hong Kong IPO in January 2026 that raised roughly HK$4.35 billion (US$558 million). Model weights are already available on Hugging Face and ModelScope, while developers can also access GLM-5 through APIs, local inference with vLLM/SGLang, or Z.ai chat and agent mode.
First top-tier open-source LLM trained entirely on Huawei Ascend chips; strengthens non-NVIDIA AI infrastructure and expands open-weight model options for AI-driven business and advertising technology.
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Key Takeaways & Evidence Grounding
- Zhipu AI introduced GLM-5, a Mixture-of-Experts LLM with 745 billion total parameters and 44 billion active parameters.
- GLM-5 was trained exclusively on Huawei Ascend chips using the MindSpore framework, without NVIDIA hardware.
- GLM-5 is expected to be released under the MIT license; weights are available on Hugging Face and ModelScope.
- Zhipu AI raised approximately HK$4.35 billion (US$558 million) in a Hong Kong IPO on January 8, 2026.
- GLM-5 supports context windows up to 200,000 tokens and uses DeepSeek Sparse Attention.
Connected Companies & Entities
4 Entities mapped“The model was trained exclusively on Huawei Ascend chips using the MindSpore framework....”
“The listed Chinese AI company Zhipu AI has introduced GLM-5, the fifth generation of its large language model....”
“GLM-5 was trained entirely on Huawei Ascend chips without the use of NVIDIA hardware....”
“Zhipu AI also supports the implementation of GLM-5 on other non-NVIDIA chips, including Moore Threads, Cambricon, Kunlun Chip, MetaX, Enflam...”
Ontology Mapping & Concepts
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