Lambda provides cloud GPU compute for AI training, fine-tuning, inference, and prototyping. Teams can launch on-demand GPU instances, use production-ready 1-Click Clusters, or discuss reserved and single-tenant infrastructure for larger workloads.
Lambda is a cloud GPU platform for AI development and production workloads. It provides on-demand instances for testing and prototyping, 1-Click Clusters for distributed training and inference, and larger single-tenant infrastructure for teams that need dedicated capacity.
The platform supports NVIDIA GPUs including B200, H100, A100, GH200, A6000, and other listed configurations for instances. Its 1-Click Clusters are offered as production-ready NVIDIA HGX B200 or H100 environments ranging from 16 to more than 2,000 GPUs, with InfiniBand networking and managed orchestration options.
Teams can use Lambda for foundation-model training, fine-tuning, inference, and serving high-volume workloads. Instances are billed by the GPU hour and can be launched through the cloud service; cluster pricing is listed by GPU count and contract duration, with reserved-capacity inquiries handled by the Lambda team. The pricing page states that there are no egress fees, while applicable sales taxes may apply.
For larger deployments, Lambda describes single-tenant infrastructure, caged clusters with hardware-level isolation, and a security posture that includes SOC 2 Type II attestation. Cluster environments can use managed Kubernetes or Slurm orchestration and S3-compatible storage, helping teams operate distributed AI workloads without managing every infrastructure layer themselves.
Launch individual GPU instances for experiments, model development, testing, and prototyping. Listed configurations include NVIDIA B200, H100, A100, GH200, A6000, A10, Tesla V100, and other options with different VRAM, CPU, RAM, and SSD allocations.
Deploy production-ready NVIDIA HGX B200 or H100 clusters from 16 to more than 2,000 GPUs. The clusters are designed for distributed AI workloads and use dedicated InfiniBand connectivity.
Cluster deployments can include fully managed Kubernetes or Slurm orchestration, along with S3-compatible storage, reducing the operational work required to run distributed training and inference.
Lambda offers dedicated infrastructure with single-tenant, shared-nothing architecture and describes caged clusters with hardware-level isolation for workloads requiring stronger separation.
Users can rent instances by the GPU hour, use short- or long-term cluster arrangements, or contact Lambda about reserved capacity. The pricing information states that there are no ingress or egress fees.
Use an on-demand instance to test code, evaluate a model, or prototype an AI application without first arranging a multi-GPU cluster.
Run large distributed training jobs on InfiniBand-connected B200 or H100 clusters sized from 16 GPUs upward.
Use GPU instances or production clusters to fine-tune models and compare training or evaluation runs across available NVIDIA configurations.
Deploy inference workloads on scalable cluster infrastructure, including workloads that need to serve large volumes of tokens or operate with managed Kubernetes or Slurm.
Choose single-tenant or caged cluster arrangements when hardware isolation, dedicated capacity, or a longer-term infrastructure plan is important.
Lambda provides on-demand instances with listed NVIDIA configurations including B200, H100, A100, GH200, A6000, A10, Tesla V100, and Quadro RTX 6000. Its 1-Click Clusters are based on NVIDIA HGX B200 or H100 systems.
Instances are positioned for quickly testing and prototyping with individual GPU configurations. 1-Click Clusters are intended for production-ready distributed training, fine-tuning, and inference, with offerings from 16 to more than 2,000 GPUs.
Instances are priced per GPU hour and vary by GPU and system configuration. 1-Click Cluster pricing varies by GPU count and contract duration; reserved-capacity arrangements are handled through the Lambda team. The pricing page states that there are no ingress or egress fees, and applicable taxes may apply.
The 1-Click Clusters page lists fully managed Kubernetes or Slurm orchestration and S3-compatible storage. The available setup and configuration should be confirmed with Lambda for a specific deployment.
Lambda describes single-tenant, shared-nothing infrastructure and caged clusters with hardware-level isolation. Its site also cites SOC 2 Type II attestation and additional compliance standards for its cluster offering.
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