Lambda

What is Lambda?

Lambda is a GPU cloud provider aimed at teams that train, fine-tune and serve AI models. Its On-Demand Cloud lets you launch Linux virtual machines with one, two, four or eight NVIDIA GPUs, including B200, H100, GH200, A100, A10, A6000 and V100 options, from a web console, the Lambda Cloud API or a CLI. Instances come with Lambda Stack, a bundle that includes CUDA, cuDNN, PyTorch, TensorFlow and JAX, plus JupyterLab. For larger jobs, 1-Click Clusters offer InfiniBand-connected B200 or H100 systems from 16 to 2,000+ GPUs with managed Kubernetes or Slurm. Instances are billed per GPU hour in one-minute increments and the pricing pages state there are no egress fees. On-demand rates on the pricing page start at $0.69 per GPU per hour, while cluster reservations are quoted through the sales team.

Use cases

• Rent GPU instances for model training
• Fine-tune open models on H100 or B200 GPUs
• Serve inference workloads on cloud GPUs
• Reserve multi-node GPU clusters
• Run Jupyter notebooks on a GPU
• Automate GPU instance launches via API

Who it's for

• ML engineers
• AI researchers
• Startups
• Enterprise AI teams

Why use Lambda

• Self-serve instances launch in minutes with drivers and ML frameworks already installed.
• Per-minute billing means you pay only while an instance is running, with no egress fees listed.
• The same provider covers one-GPU experiments and clusters of 2,000+ GPUs, so teams can scale without changing vendors.
• API and CLI access make it possible to script instance creation from CI/CD or orchestration tools.
• Cluster offerings list ISO 27001 and SOC 2 Type II compliance for security reviews.

Lambda features

• On-demand NVIDIA B200, H100, GH200, A100, A10, A6000 and V100 instances
• 1x, 2x, 4x and 8x GPU instance sizes
• Lambda Stack with CUDA, cuDNN, PyTorch, TensorFlow and JAX preinstalled
• JupyterLab on every On-Demand Cloud instance
• Lambda Cloud API and CLI to create, stop and restart instances
• 1-Click Clusters from 16 to 2,000+ GPUs with InfiniBand networking
• Managed Kubernetes or Slurm orchestration with S3-compatible storage
• Persistent filesystems billed per GiB used
• Dashboard and API monitoring of GPU, memory and network performance

Lambda integrations

• Kubernetes
• Slurm
• JupyterLab
• PyTorch
• TensorFlow
• JAX

How to get started with Lambda

1. Create an account and choose between On-Demand Cloud instances or a 1-Click Cluster reservation.
2. Pick a GPU type and count, such as one H100 or an eight-GPU B200 node.
3. Launch the instance from the console, API or CLI and open JupyterLab or SSH in.
4. Train, fine-tune or serve your model, then terminate the instance to stop billing.

Lambda limitations

• Cryptocurrency mining is prohibited on On-Demand Cloud instances
• Refunds are issued as service credits that expire after 12 months
• Each instance is tied to a single geographic region
• Cluster pricing requires contacting the sales team

Lambda pricing

Lambda has no free plan. Plans start at $0.69 usage-based, according to the official pricing page on 24 Oct 2026.

Lambda plans

• On-Demand Cloud

  From $0.69/GPU/hr

  billed per minute, weekly invoices

  • 1x, 2x, 4x and 8x GPU instances
  • H100 SXM from $3.99 per GPU per hour on 8x
  • B200 SXM6 from $6.69 per GPU per hour on 8x

• 1-Click Clusters

  From $5.54/GPU/hr

  reservations from 2 weeks to 1 year

  • NVIDIA H100 from $5.54 per GPU per hour
  • NVIDIA HGX B200 from $8.87 per GPU per hour
  • 16 to 2,000+ GPUs

• Reserved and Superclusters

  Custom

  • Contact sales for reserved capacity
  • 1 year+ cluster terms

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Lambda alternatives

The main Lambda alternatives listed on Debuly are CoreWeave, Runpod, Vast.ai, Together AI, Modal and Crusoe Cloud. The table compares pricing and platforms; order is A–Z.

1. 

   CoreWeave

   AI cloud that rents NVIDIA GPU capacity by the hour, with on-demand, spot and reserved plans for model training and inference.

   Developer platformsCoding
   PaidVisit CoreWeave (official site)
2. 

   Crusoe Cloud

   AI cloud with on-demand GPU instances, managed Kubernetes and Slurm, and managed inference and fine-tuning for open models.

   Developer platformsCoding
   PaidVisit Crusoe Cloud (official site)
3. 

   Modal

   Serverless cloud platform for running AI inference, training, batch jobs and agent sandboxes, billed per second of compute.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Modal (official site)
4. 

   Runpod

   Pay-per-second GPU cloud for AI: on-demand Pods, Serverless endpoints, multi-node Clusters and ready-made public model APIs.

   Developer platformsCoding
   PaidVisit Runpod (official site)
5. 

   Together AI

   AI cloud for running open-source models through serverless and batch inference, dedicated endpoints, GPU clusters and fine-tuning.

   Developer platformsCoding
   PaidVisit Together AI (official site)
6. 

   Vast.ai

   GPU cloud marketplace for renting on-demand, interruptible or reserved GPUs with per-second billing.

   Developer platformsAutomation and agents
   PaidVisit Vast.ai (official site)

Lambda FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from lambda.ai · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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