The world's fastest server for AI research
Now available with NVIDIA H100 Tensor Core GPUs
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Easily scale from server to cluster
As your team's compute needs grow, Lambda's in-house HPC engineers and AI researchers can help you integrate Hyperplane and Scalar servers into GPU clusters designed for deep learning.
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ComputeScaling to 1000s of GPUs for distributed training or hyperparameter optimization.
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StorageHigh-performance parallel file systems optimized for ML.
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NetworkingCompute and storage fabrics for GPUDirect RDMA and GPUDirect Storage.
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SoftwareFully integrated software stack for MLOps and cluster management.
Service and support by technical experts who specialize in machine learning
Lambda Premium Support includes:
- Up to 5 year extended warranty with advanced parts replacement
- Live technical support from Lambda's team of ML engineers
- Support for ML software included in Lambda Stack: PyTorch®, Tensorflow, CUDA, CuDNN, and NVIDIA Drivers
Plug in. Start training.
Our servers include Lambda Stack, which manages frameworks like PyTorch® and TensorFlow. With Lambda Stack, you can stop worrying about broken GPU drivers and focus on your research.
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Zero configuration requiredAll your favorite frameworks come pre-installed.
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Easily upgrade PyTorch® and TensorFlowWhen a new version is released, just run a simple upgrade command.
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No more broken GPU driversDrivers will "just work" and keep compatible with popular frameworks.
Your servers. Our datacenter.
Lambda Colocation makes it easy to deploy and scale your machine learning infrastructure. We'll manage racking, networking, power, cooling, hardware failures, and physical security. Your servers will run in a Tier 3 data center with state-of-the-art cooling that's designed for GPUs. You'll get remote access to your servers, just like a public cloud.
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