New Lambda 1-Click Clusters provide AI engineers and researchers immediate, easy access to NVIDIA H100 Tensor Core GPUs on multiple nodes for large-scale training, without requiring long-term contracts

Lambda, the GPU cloud company founded by AI engineers and powered by NVIDIA GPUs, has unveiled Lambda 1-Click Clusters, providing AI engineers and researchers short-term access to multi-node GPU clusters in the cloud for large-scale AI model training. The launch marks the first time such access to NVIDIA H100 Tensor Core GPUs on 2 to 64 nodes has been made available on demand and through a self-serve cloud service, without requiring expensive long-term contracts.

Lambda 1-Click Clusters help address the particular needs of today’s AI teams, who may not be able to afford but also rarely require 24/7 access to top-end GPUs for an entire year or longer. These teams instead need to be able to quickly spin up a short-term cluster with hundreds of GPUs for a few weeks to run experiments, take a few weeks off to regroup without wasting idle GPU time, then prepare for the next iteration. Connecting these engineers and researchers to a large number of GPUs when they need them, paired with ease of access and use, ensures today’s AI innovation momentum isn’t hindered by financial or contractual limitations.

“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.”

Lambda 1-Click Clusters, which only have a reservation minimum of two weeks, will allow access to multi-node clusters featuring 16 to 512 interconnected NVIDIA H100 GPUs with NVIDIA Quantum-2 InfiniBand networking. The introduction of 1-Click Clusters serves as the latest example of Lambda’s commitment to democratizing access to, and usage of, Distributed Training for the AI community, in a market where high-performing compute access is often reserved for large enterprises and AI labs. The launch follows the company’s April 2024 announcement of a $500 million GPU-backed facility to expand its on-demand cloud offering, as well as a $320 million Series C funding round in February 2024.

“Bringing powerful, accelerated computing access to a broad range of teams and needs will be critical to achieving transformative AI breakthroughs in every industry. Lambda’s 1-Click Clusters providing self-serve access to NVIDIA H100 GPUs and NVIDIA Quantum-2 InfiniBand will pioneer innovative ways for teams to take on unique and demanding AI workloads,” said Dave Salvator, Director of Accelerated Computing Products at NVIDIA.

“Lambda’s 1-Click Clusters have a stable training infrastructure and are easy to set up with direct access to the raw metal GPUs, massive local storage and stable networking at scale,” said Mahmoud Felfel, co-founder of PlayHT, a leader in conversational voice AI. “It has been our best experience in training runs, and as a team they have been super responsive and supportive across the board."

To learn more about Lambda 1-Click Clusters, click here.

About Lambda

Lambda was founded in 2012 by AI engineers with published research at the top machine learning conferences in the world. Our goal is to become the #1 AI compute platform serving developers across the entire AI development lifecycle. We enable AI engineers to easily, securely and affordably build, test and deploy AI products at scale. Our product portfolio spans from on-prem GPU hardware to hosted GPUs in the cloud. Lambda’s mission is to create a world where access to computation is as effortless and ubiquitous as electricity.

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