Alibaba Cloud claims its new Aegaeon pooling system reduces the number of Nvidia GPUs required to serve large language models by 82% during a multi-month beta test inside its Model Studio marketplace.

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Llama.cpp is a popular choice for running local large language models, and as it turns out, it is also one of the limited ...

Alibaba Cloud claims it has optimized how GPUs are used through a "pooling" system that reduces the needed chips by up to 82 percent. The Chinese cloud company shared a peer-reviewed paper at the 2025 ...

Alibaba Group Holding has introduced a computing pooling solution that it said led to an 82 per cent cut in the number of Nvidia graphics processing units (GPUs) needed to serve its artificial ...

Tencent has released version 1.1 of its Hunyuan World Model, codenamed WorldMirror, adding support for multi-view and video inputs while enabling single-GPU deployment for real-time 3D scene creation.

It’s planning to spend nearly $70 million on a GPU cluster to support its efforts. It’s planning to spend nearly $70 million on a GPU cluster to support its efforts. is a senior reporter covering ...

xAI and OpenAI each plan to have at least one million GPUs online by the end of 2025. xAI estimates it will have two million ...