Clockwork refers to this problem as the “AI efficiency gap.” It says real-world GPU clusters typically only achieve between ...

Uber accelerates incident detection, DCAI speeds up AI training and cluster efficiency, and Nebius improves MTBF in large-scale distributed AI training-all powered by Clockwork's first-of-a-kind ...

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 ...

SAN FRANCISCO, Calif., March 13, 2024 – ClearML today announced new research findings from a global AI survey recently conducted with FuriosaAI and the AI Infrastructure Alliance (AIIA). The new ...

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 ...

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.

Crusoe has acquired Atero, an Israeli company specializing in GPU management and memory optimization for AI workloads. Financial terms of the deal weren’t disclosed. The acquisition sees Atero’s Tel ...

A new technical paper titled “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference” was published by researchers at Barcelona Supercomputing Center, Universitat Politecnica de ...