Silicon Valley-based GPU cloud company Lambda Labs has launched Nvidia HGX H100 and Quantum-2 InfiniBand Clusters for AI model training.
The Lambda 1-Click Clusters are targeted at AI developers that need access to high-end AI hardware, but don't want - or can't afford - to rent them for long periods. Instead, the clusters have a reservation minimum of two weeks.
“Lambda has solved a complex compute challenge only a few very large companies have: partitioning a large, high-performant AI deployment to make smaller GPU clusters. Making this available on demand, through a self-serve model with no humans in the loop - all packaged with our trademark ease of use - adds to why we’re so thrilled about this launch,” said Robert Brooks, founding team and VP of revenue at Lambda.
“Our 1-Click Clusters are a big step toward a world where GPUs’ availability, long-term contracts, and high costs don’t stand in between AI teams and the ability to turn their ideas into breakthroughs.”
The clusters feature 16 to 512 interconnected Nvidia H100 GPUs with Quantum-2 InfiniBand networking.
“Bringing powerful, accelerated computing access to a broad range of teams and needs will be critical to achieving transformative AI Nvidia in every industry,” said Dave Salvator, director of accelerated computing products at Nvidia.
We profile Lambda's cloud service in the next AI supplement, out next week for AI Week.
