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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Lambda
Lambda

Lambda

Founded 2012

Rent cloud GPUs and supercomputers for training and running machine learning models

You can use Lambda to access cloud GPU hardware for training deep learning models and serving AI inference. It provides on-demand virtual machine instances and dedicated private supercomputer clusters equipped with NVIDIA GPUs such as H100, B200, and GB300 NVL72. Teams can launch single instances in minutes for rapid prototyping or deploy single-tenant multi-node clusters connected with InfiniBand networking. The infrastructure includes managed cluster orchestration, high-density power, liquid cooling, and SOC 2 Type II compliance.

What Lambda does

Launch on-demand NVIDIA GPU virtual machinesReserve dedicated multi-node GPU superclustersRun distributed model training jobs across interconnected nodesDeploy scalable REST API endpoints for model inferenceMonitor hardware performance and GPU memory utilizationConfigure secure single-tenant cloud environments with InfiniBandFine-tune open-source models using custom datasetsOn-demand cloud GPU instances launched in minutesDedicated single-tenant supercomputer clusters with InfiniBand networkingPre-configured environments with high-performance NVIDIA GPUs like B200 and H100Fully managed cluster orchestration for large-scale distributed trainingCaged clusters with hardware-level isolation and SOC 2 Type II complianceHigh-density power systems with liquid cooling for sustained workloadsRack-scale systems optimized for agentic AI and reasoning workloads

Frequently asked

PyTorchPyTorchKubernetesKubernetesDockerDocker

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Lambda, Lambda Labs, GPU cloud, NVIDIA H100, NVIDIA B200, deep learning training, AI inference, cloud computing, GPU instances, AI supercomputers, InfiniBand, AI hosting, model training, machine learning infrastructure