H100 SXM
$2.99
Per hour
- 80GB GPU memory
- 8x, 4x, 2x, or 1x GPU configurations
- NVIDIA H100 Tensor Core
- One-minute billing granularity
- On-demand access
Lambda Labs is a pioneering provider of high-performance GPU cloud infrastructure and workstations, founded in 2012 by twin brothers Michael Balaban (CTO) and Stephen Balaban (CEO). Based in San Jose, California, Lambda has grown to serve more than 50,000 customers, offering GPU clusters featuring cutting-edge NVIDIA H100 and H200 chips that customers can access within minutes. The company's infrastructure is specifically designed for machine learning and AI development, providing an environment where models can be trained, fine-tuned, and deployed without the generic complexity of traditional cloud platforms.
Lambda has established itself as a cost-effective alternative to major cloud providers, offering NVIDIA H100 GPU instances at significantly lower hourly rates. The company's ability to provide fast access to GPU resources—often within minutes compared to longer wait times from competitors—has made it a popular choice for AI researchers and developers. Lambda's success is built on strategic partnerships with NVIDIA, securing priority allocation during chip shortages, though this also creates dependency on GPU availability and pricing.
With transparent pricing based on specific GPU types and instance configurations charged hourly on-demand or through reserved capacity arrangements, Lambda offers flexible deployment options. The company provides GPU billing granularity in one-minute increments, allowing cost-effective experimentation and production workloads. Lambda's production-ready clusters range from 16 to 2,000+ NVIDIA B200 or H100 GPUs, supporting projects from proof-of-concept to large-scale production deployments.
Core capabilities this platform advertises.
What this tool does well, and the limitations to keep in mind.
Pros
Cons
What's included in each plan, and how the tiers compare.
$2.99
Per hour
$1.79
Per hour
Custom
Per hour
Custom
Reserved capacity
ML engineers and researchers who want simple, reliable GPU cloud infrastructure
Integrate Lambda Labs' high-performance GPU infrastructure with Respan to power your compute-intensive AI workloads. Access NVIDIA H100, A100, and GH200 GPUs through Respan's orchestration platform for model training, fine-tuning, and inference at scale. Combine Lambda's cost-effective GPU resources with Respan's multi-provider flexibility for optimized AI development.
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Last verified: March 10, 2026