A managed GPU cloud platform with instances, 1-click clusters, and superclusters. Targets developers and AI teams with emphasis on friction-free access and high utilization.
DeployStage 4 of 5
Serving 200,000+ developers with $760M annualized revenue; Vera Rubin NVL72 superclusters coming H2 2026.
Updated 16 Mar 2026·Checked 10 Oct·0 updates this week
Milestones
Next · Vera Rubin NVL72 superclusters production deployment
Lambda Cloud launch2019Complete.
Series D funding ($480M) at $2.5B valuation19 Feb 2025Complete.
Series E funding ($1.5B) at $5.9B valuationNov 2025Complete.
Vera Rubin NVL72 superclusters production deploymentTarget Q3 2026Not yet reached.
Q3 2026Vera Rubin NVL72 superclusters production deployment (next)
Q1 202710,000-GPU AI factory with Quantum-X800 InfiniBand co-packaged optics
Current obstacles
NVIDIA supply constraintsGPU availability limits growth; NVIDIA pricing power constrains margins. Diversification to other accelerators is complex.
Cost-per-flop competitionHyperscalers' internal AI infrastructure keeps per-flop costs lower; Lambda must compete on developer experience and flexibility.
Physics limits
GPU yield and reliabilityManufacturing yield on cutting-edge GPUs is 60-80%; field failures add operational cost. Spare capacity and redundancy are essential, raising per-customer costs.
Network bandwidth scales with GPU countEach GPU cluster needs high-bandwidth interconnect for distributed training. Scaling to thousands of GPUs requires proportional InfiniBand and optical fiber investment.
How it works
3 parts
Superclusters
Single-tenant enterprise GPU clusters
Custom clusters with NVIDIA GPUs (H100, B200, GB300, Vera Rubin NVL72) for teams training foundation models, with direct control and dedicated networking.
Managed Platform
1-click production clusters and inference endpoints
Pre-configured environments for distributed training, fine-tuning and inference that abstract infrastructure details away.
Developer Experience
Friction-free provisioning
Hourly billing, quick instance startup and simple CLI integration aim to reduce overhead compared to legacy cloud platforms.
Lambda provides GPU cloud infrastructure for AI development and deployment. The company operates a developer-friendly cloud platform with custom GPU clusters and a managed suite for inference, fine-tuning and distributed workloads. Lambda serves over 200,000 AI developers and engineering teams.
Raised $480M Series D at $2.5B (February 2025), then $1.5B Series E at $5.9B (November 2025) led by TWG Global.
Serves over 200,000 AI developers with annualized revenue of $760M as of late 2025, growing 79% year-over-year.
NVIDIA Vera CPU launch partner. Deploying Vera Rubin NVL72 superclusters and Quantum-X800 InfiniBand by H2 2026.