Lambda

Cloud platform that rents NVIDIA H100/B200/B300 GPUs for training and running AI models at scale

Verified API available ~26k monthly visits
Quick facts
What is it Cloud platform that rents NVIDIA H100/B200/B300 GPUs for training and running AI models at scale
Pricing Paid
Free tier No
Platform Web Application
API Yes
Best for training large language models, serving production inference workloads
Domain registered 2017

Data updated Aug. 1, 2026

What does Lambda do?

Lambda is a cloud GPU service that lets you rent high-end NVIDIA hardware for AI workloads — think training large language models or running inference on massive datasets. You pick the GPU (H100, B200, GB300 NVL72, etc.), spin up an instance in minutes, and pay for what you use. It's infrastructure, out of the box, with the kind of hardware that used to require months of procurement and setup.

The platform offers three tiers of deployment: single instances for quick prototyping, 1-Click Clusters that get you a full NVIDIA HGX B200 or H100 cluster in a few clicks, and Superclusters for massive distributed training jobs. Everything runs in single-tenant environments, and Lambda is SOC 2 Type II certified — so enterprise security teams won't panic. The cluster management is fully automated, and they claim you can go from zero to a running cluster faster than most alternatives.

This is for teams that need raw GPU compute without the headache of managing physical hardware. AI research labs training next-gen models, startups building AI features, and enterprises running inference at scale are the obvious fits. If you need the fastest NVIDIA hardware available and you want it up and running quickly — no negotiating with Dell or waiting on supply chains — Lambda is worth a look.

#ai infrastructure#ai training#cloud gpu#enterprise#inference#nvidia-gpu#single-tenant#supercomputers

Key features

What makes it stand out
01
Rent NVIDIA H100, B200, GB300 NVL72 GPUs on demand — spin up instances in minutes
02
1-Click Clusters: deploy a full HGX B200 or H100 cluster without manual configuration
03
Superclusters designed for large-scale distributed training across hundreds of GPUs
04
Single-tenant, SOC 2 Type II compliant infrastructure for enterprise security needs
05
Automated cluster management reduces operational overhead compared to self-hosted setups

Who is Lambda for?

Who benefits most from this tool
training large language models
serving production inference workloads
running compute-intensive AI experiments

Pricing

NVIDIA HGX B200

Custom
  • 16 GPUs: $9.86/hour
  • 64 GPUs: $9.36/hour
  • 256+ GPUs: $8.87/hour
  • Custom configurations: contact us for 1 year+

Instances

Custom
  • NVIDIA B200 SXM6: $6.69/GPU/hr
  • NVIDIA H100 SXM: $3.99/GPU/hr
  • NVIDIA A100 SXM (80GB): $2.79/GPU/hr
  • NVIDIA A100 SXM (40GB): $1.99/GPU/hr
  • NVIDIA Tesla V100: $0.79/GPU/hr

Enterprise

Custom
  • Custom cluster configurations
  • 1 year+ durations
  • Dedicated support

Trust & presence

Domain Domain registered 2017

Gallery

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