Alibaba Cloud details a GPU pooling system that it claims reduced the number of Nvidia H20 required by 82% when serving dozens of LLMs of up to 72B parameters (Vincent Chow/South China Morning Post)

Vincent Chow / South China Morning Post: Alibaba Cloud details a GPU pooling system that it claims reduced the number of Nvidia H20 required by 82% when serving dozens of LLMs of up to 72B parameters  —  The new Aegaeon system can serve dozens of large language models using a fraction of the GPUs previously required, potentially reshaping AI workloads

Oct 20, 2025 - 01:00
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Alibaba Cloud details a GPU pooling system that it claims reduced the number of Nvidia H20 required by 82% when serving dozens of LLMs of up to 72B parameters (Vincent Chow/South China Morning Post)

Vincent Chow / South China Morning Post:
Alibaba Cloud details a GPU pooling system that it claims reduced the number of Nvidia H20 required by 82% when serving dozens of LLMs of up to 72B parameters  —  The new Aegaeon system can serve dozens of large language models using a fraction of the GPUs previously required, potentially reshaping AI workloads

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