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Alibaba Cloud says it cut Nvidia AI GPU use by 82% with new pooling system— up to 9x increase in output lets 213 GPUs perform like 1,192
Alibaba Cloud claims its new Aegaeon pooling system reduced the number of Nvidia GPUs required to serve large language models ...
If you want the best gaming performance out of your PC, the traditional wisdom is that you should chase 100% GPU utilization. There's some truth to that sentiment. If you're looking for the best ...
You have options for how much memory is assigned to the GPU. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. A few months after the gaming ...
A team of researchers from Shanghai Jiao Tong University and Huawei has proposed a new way to share GPUs more efficiently across jobs in campus data centers, reducing idle GPU time and job wait times.
As artificial intelligence reshapes industries, GPU infrastructure providers face a pivotal moment. While providing raw computing power has been profitable, the increasing competition and fluctuating ...
Investing.com -- Alibaba Cloud has published a paper detailing its Aegaeon GPU resource optimization solution for large language model (LLM) concurrent inferencing, the company announced Monday. The ...
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