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Hyperscaler
Cloud Storage AI & GPU Infrastructure Compute

Quick Stats

Pricing Model
Usage-based
Customer Count
50-100
Region
Arizona, California, Illinois, Texas, Utah, Virginia (USA), Germany, India, Israel, Italy, Osaka (Japan), Tokyo (Japan), Sydney (Australia)

About

Lambda Labs offers GPU cloud services and deep learning workstations. They provide powerful computing resources optimized for AI research and development, making advanced GPU infrastructure accessible.

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Pricing Details

Lambda Cloud Pricing

On-demand GPUs + persistent storage
GPU Instances (On-Demand)
Pay by the minute β€’ no egress fees
Live Rates
GPU Model vRAM $/GPU-hr* Example Shape
NVIDIA H100 (SXM) 80Β GB $3.29 1Γ— H100 SXM
NVIDIA H100 (PCIe) 80Β GB $2.49 1Γ— H100 PCIe
NVIDIA A100 (SXM) 40Β GB / 80Β GB $1.29 / $2.99† 1Γ— or 8Γ— nodes
NVIDIA GH200 (Grace-Hopper) 96Β GB $1.49 1Γ— GH200
NVIDIA A10 24Β GB $0.75 1Γ— A10
* Plus applicable taxes. Rates vary by region/shape and may change. †$2.99/GPU-hr refers to 8Γ— A100Β 80GB nodes (per-GPU equivalent).
Storage & Network
Persistent volumes + data transfer
Simple
Persistent Storage $0.20/ GB-month
Block storage for instances & datasets
Ingress (upload) Free
Egress (download) No egress fees
Internal network transfers are free
Notes Pricing billed per minute for compute; storage billed per GB-month. Discounts available for reserved capacity.
Verify live rates and available regions in the Lambda console.

Notes: Pricing may change based on region, availability, and instance shapes.

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Features
GPU Compute NVIDIA H100, A100, RTX 4090
Performance AI & ML-optimized clusters
Ecosystem Lambda Cloud + Open Source Stack
Billing On-demand GPU pricing
Key Offerings

Lambda Labs

  • On-demand GPU instances for AI/ML
  • Training/inference-ready tooling
  • Team-friendly cloud workflows
Ideal Use Cases / Buyers
Workloads AI/ML training, inference, GPU research workloads
Buyers AI developers, ML researchers, data science startups
Integrations & Partners
Why Choose

  • βœ… Powerful GPU cloud for AI workloads
  • βœ… Cost-effective and flexible pricing
  • βœ… Optimized tools and easy scalability

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