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Introducing Respan Router
Lambda

Lambda: Inference & Compute

Founded 2012|San Jose, California|51-200 people|Usage-based

What is Lambda?

Key features

Core capabilities this platform advertises.

  • NVIDIA GPU cloud instances
  • Pre-configured ML software stack
  • On-demand and reserved pricing
  • Simple API and CLI
  • Multi-GPU cluster support

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

  • Highly competitive pricing for H100 and A100 GPUs
  • Fast access to GPU resources within minutes
  • AI-focused infrastructure without generic cloud complexity
  • Strong NVIDIA partnerships ensure GPU availability

Cons

  • Hidden operational costs with complex instance management
  • No live chat or phone support available
  • Heavy dependency on NVIDIA supply chain
  • Inconsistent machine performance reported by some users

Plans & pricing

What's included in each plan, and how the tiers compare.

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

A100 80GB

$1.79

Per hour

  • 80GB GPU memory
  • Multiple GPU configurations
  • NVIDIA A100 Tensor Core
  • Production-ready clusters
  • Reserved capacity options

GH200 Superchip

Custom

Per hour

  • NVIDIA GH200 Superchip
  • Advanced AI workloads
  • Large-scale deployments
  • Custom cluster configurations

1-Click Clusters

Custom

Reserved capacity

  • 16 to 2,000+ GPUs
  • B200 or H100 clusters
  • Production scale
  • Reserved capacity pricing
  • Enterprise support
View official pricing page

Common use cases

ML engineers and researchers who want simple, reliable GPU cloud infrastructure

  • ML model training and fine-tuning
  • Inference serving
  • Research and experimentation
  • Academic AI computing
  • Startup AI infrastructure

Using Lambda with Respan

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.

  • Access NVIDIA H100 and H200 GPUs within minutes
  • Significantly lower costs compared to major cloud providers
  • Scale from POC to production with flexible GPU configurations
  • One-minute billing granularity for cost-effective experimentation

Run Lambda in production with Respan

10KFree traces/mo
1,000+Models
5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

Try Respan free

Best Lambda alternatives & competitors

Top companies in Inference & Compute you can use instead of Lambda.

View all Lambda alternatives

Compare Lambda

Side-by-side comparisons with other tools in this category.

Best integrations for Lambda

Companies from adjacent layers in the AI stack that work well with Lambda.

Last verified: March 10, 2026