AI engineers and researchers gain self-service access to train, fine-tune, and infer on the latest NVIDIA Blackwell GPUs via Lambda’s 1-Click Clusters, without long-term contracts
Lambda, the AI Developer Cloud, announced that they are an early adopter providing general availability of multi-node NVIDIA HGX B200-accelerated clusters, on-demand through Lambda 1-Click Clusters. By integrating the breakthrough performance of NVIDIA Blackwell GPUs with self-serve, on-demand access, Lambda enables AI teams to start innovating faster without the overhead of long-term contracts or complex infrastructure management.
As open-source reasoning models like DeepSeek R1 offer huge potential for the future of AI, demand for compute power is only increasing. This launch provides instant access to 16-512 NVIDIA HGX B200 clusters connected via NVIDIA Quantum-2 InfiniBand, enabling AI teams to train, fine-tune, and run inference on the latest NVIDIA GPUs.
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“AI innovation requires immediate access to cutting-edge infrastructure that scales with the needs of AI teams,” said Stephen Balaban, CEO and co-founder of Lambda. “Today’s announcement further builds on our initiatives to delight AI developers, as we continue to quickly and efficiently deliver the most advanced technologies. We’re eager to see how teams will take AI projects to the next level with easy access to multi-node NVIDIA HGX B200 via Lambda’s 1-Click Clusters.”
Lambda 1-Click Clusters addresses the unique needs and challenges of today’s AI engineers and researchers, by offering flexible, on-demand access to the latest NVIDIA accelerated computing platforms. Enabling faster innovation, agile experimentation, and the flexibility required to experiment with the latest technical breakthroughs.
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“We’re excited to deploy NVIDIA Blackwell clusters and start exploring novel solutions for our customers. We’re committed to an open source approach, sharing our learnings and results along the way,” said Dhanji R. Prasanna, CTO of Block.
1-Click Clusters provide AI teams quick and easy access to a large number of GPUs exactly when they need them, making it the simplest and most efficient way to access large-scale, on-demand compute power. “As organizations push the boundaries of AI, providing access to the most advanced infrastructure is essential. We’re proud to partner with Lambda to deliver fast and efficient access to NVIDIA HGX B200, enabling organizations across industries and of all sizes to advance AI innovation,” said Dave Salvator, Director of Accelerated Computing Products at NVIDIA.
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Source – businesswire
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