GPU Cloud Provider · Global
Lambda Labs
Lambda Labs offers cutting-edge, flexible GPU clusters through its 1-Click Clusters service, featuring NVIDIA H100 Tensor Core GPUs interconnected via NVIDIA Quantum-2 InfiniBand technology. The clusters are tailored for ML engineers and researchers requiring high computational power on an on-demand basis without long-term commitments.
GPUs
3
Founded
Unknown
GPU Marketplace
Estimates only — rates are collected automatically from public provider pages and may be out of date. Prices vary by region, commitment term, and availability, and typically exclude storage, egress, and tax. Confirm current pricing with the provider before purchasing. Last collected .
Company Profile
Company TypeAI compute in the cloud
Provider TypeAI compute in the cloud
HeadquartersGlobal
Legal EntityLambda
Infrastructure
GPU FleetNVIDIA HGX B200, NVIDIA H100, NVIDIA A100, GH200, NVIDIA GB300 NVL72, NVIDIA HGX B300, NVIDIA Vera Rubin NVL72, NVIDIA Tesla V100
Network FabricNVIDIA Quantum-2 InfiniBand, Ethernet up to 200 Gbps
Connectivity400Gbps (InfiniBand), 200Gbps (Ethernet)
StorageNVMe, Shared file system
AvailabilityGA
Designed for builders
Compute & Deployment
On-DemandRent NVIDIA GPUs on demand: H100, H200, and B200
Bare Metalsingle-tenant, shared-nothing architecture
VM-BasedvCPUs
GPU Hardware
Latest GenH100, H200, and B200
Legacy SupportNVIDIA Tesla V100
Multi-GPU NodesChoose 8x, 4x, 2x, or 1x GPU instances
Max GPUs/Node8
Pool SizeFrom one GPU to hundreds of thousands
InfiniBandNVIDIA Quantum-2 InfiniBand
PCIe vs SXMSXM
HGX PlatformHGX B200, H100, A100, GH200, HGX B300
Liquid Coolinghigh-density power, liquid cooling
Pricing Model
Per MinutePay by the minute
SubscriptionPay by the minute
Public Pricinghttps://lambdalabs.com/cloud
Hidden FeesTransparent pricing with no egress fees.
Egress ChargesTransparent pricing with no egress fees.
Pay-as-you-goPay by the minute
Performance & Scaling
Multi-Node TrainingTrain, fine-tune, and serve models on 1 to 8 NVIDIA GPU instances
Max Cluster SizeSpin up 1-Click Clusters™ featuring 16-2,000+ interconnected HGX B200 and H100 GPUs for large-scale AI workloads.
Elastic ScalingKeep datasets, checkpoints, and outputs attached between sessions and scale up or down without re-uploading data or incurring egress fees.
InfiniBandRun on single-tenant NVIDIA GB300 NVL72 clusters with NVIDIA Quantum-2 InfiniBand for ultimate security and performance.
Perf IsolationGet caged clusters with hardware‑level isolation.
Noisy NeighborTurnkey performance: Full GPU access, zero throttling, and an optimized ML stack with essential tools like PyTorch and CUDA pre-installed via Lambda Stack.
Developer Experience
OnboardingSelf-serve, first-come access; create an account and launch instances in minutes; no driver installs; access via UI, API, or CLI
FrameworksPyTorch, TensorFlow, CUDA, cuDNN
CLI ToolingCLI available; Lambda Cloud API usable from CLI
Templates1-Click Clusters™
DocumentationAPI to create/stop/restart instances; dashboard and API monitoring; mentions of Lambda Stack with PyTorch and CUDA pre-installed
API FeaturesCLI, SDK, REST API
Security & Compliance
SecurityRegular pentesting
ComplianceSOC2, ISO27001
SOC 2 Type II certificationsingle-tenant architecture and caged clusters as security features
Data Center Locations
Coverage
Compliance Regions
Datacenter Locations
Key Strengths
Self-serve NVIDIA GPU instances launched in minutes
full GPU access with zero throttling and pre-installed ML stack (PyTorch/CUDA)
real-time dashboard/API observability
persistent attached storage with no egress fees
1-Click Clusters for 16–2
000+ GPUs
SOC 2 Type II compliance
single-tenant/caged cluster security options
Known Limitations
No spot instance pricing mentioned
no reserved instance options detailed
no free tier or free credits stated
payment methods not listed
no PUE or data center tier listed
no uptime SLA stated
inventory/access described as self-serve first-come
Additional Information
Support Options
24/7 Dedicated support
Core Proposition
Spin up an instance and get straight to training or inference. No lengthy setup, no driver installs, just NVIDIA GPUs on Lambda Stack.
Last updated March 2026. Information subject to change.