The GPU Cloud for AI

On-demand NVIDIA GPU instances & clusters for AI training & inference

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1-CLICK CLUSTERS

Introducing 1-Click Clusters

On-demand GPU clusters featuring NVIDIA H100 Tensor Core GPUs with Quantum-2 InfiniBand. No long-term contract required. Self-serve directly from the Lambda Cloud dashboard.

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NVIDIA BLACKWELL GPUS

NVIDIA Blackwell GPUs are coming soon to Lambda Cloud

The NVIDIA GB200 Grace™ Blackwell Superchip, along with NVIDIA Blackwell GPUs, will soon be available through Lambda’s On-Demand & Reserved Cloud offerings.

NVIDIA H100 ON-DEMAND
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Starting at $2.49/GPU/hour

NVIDIA H100s are now available on-demand

Lambda is one of the first cloud providers to make NVIDIA H100 Tensor Core GPUs available on-demand in a public cloud

GPU CLOUD


The only public cloud designed for training LLMs & generative AI


On-Demand Cloud

Spin up on-demand GPUs billed by the hour. NVIDIA H100 instances starting at $2.49/hr.


Reserved Cloud

Reserve thousands of NVIDIA H100s, H200s, and GH200s with Quantum-2 InfiniBand Networking.

NVIDIA H200
H100 HGX

Lambda Reserved Cloud powered by NVIDIA H200

Lambda Reserved Cloud is now available with the NVIDIA H200 Tensor Core GPU. H200 is packed with 141GB of HBM3e running at 4.8TB/s. That's nearly double the GPU memory at 1.4x faster bandwidth than H100.

RESERVED CLOUD USE CASE

See how Voltron Data leverages Lambda Reserved Cloud

After evaluating all major cloud providers, Voltron Data shares why they chose Lambda GPU Cloud for their AI training & inference needs

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OPEN SOURCE
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Lambda Stack is used by more than 50k ML teams

One-line installation and managed upgrade path for: PyTorch®, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers

GET STARTED

Ready to get started?

Create a cloud account instantly to spin up GPUs today or contact us to secure a long-term contract for thousands of GPUs

NVIDIA GH200

Lambda Reserved Cloud powered by NVIDIA GH200

Lambda Reserved Cloud is now available with the NVIDIA GH200 Grace Hopper™ Superchip. A single GH200 has 576 GB of coherent memory for unmatched efficiency and price for the memory footprint.

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