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Lambda

Lambda (formerly Lambda Labs) is a GPU cloud provider offering on-demand NVIDIA GPU instances, 1-Click Clusters of 16-2,000+ interconnected H100 and B200 GPUs, long-term reserved Hyperplane capacity, filesystems, firewalls, and SSH key management. Lambda Cloud is accessed via a REST control-plane API, the web console, and SDKs/CLI tooling.

3 APIs 5 Features
AICloudClustersComputeGPUInferenceMachine Learning

Lambda publishes 3 APIs on the APIs.io network. Tagged areas include AI, Cloud, Clusters, Compute, and GPU.

Lambda’s developer surface includes documentation, developer portal, signup flow, pricing, engineering blog, support, SDKs, and 7 more developer resources.

APIs

Lambda Cloud API

The Lambda Cloud API is the REST control plane for launching, listing, starting, stopping, and terminating GPU instances, managing SSH keys, firewalls, filesystems, images, and ...

Lambda 1-Click Clusters

Lambda 1-Click Clusters provision interconnected clusters of 16 to 2,000+ NVIDIA H100 SXM or B200 GPUs for short-duration distributed training workloads. The product is exposed ...

Lambda Cloud Filesystems

Lambda Cloud Filesystems provide persistent, sharable storage attached to on-demand instances for datasets and checkpoints. Filesystems are managed through the Cloud API and con...

Features

On-Demand GPU Instances

Self-serve, first-come access to 1x, 2x, 4x, and 8x NVIDIA GPU virtual machines billed per-hour with no egress fees.

1-Click Clusters

Pre-configured clusters of 16-2,000+ interconnected H100 SXM or B200 GPUs for distributed training.

Hyperplane Reserved Capacity

Long-term reserved GPU clusters sold via direct sales engagement for sustained training workloads.

Lambda Stack

Pre-installed CUDA, cuDNN, PyTorch, and TensorFlow software stack across all Lambda Cloud instances.

Filesystems

Persistent, sharable storage attached to on-demand instances for datasets and checkpoints.

Integrations

Hugging Face

Reference workflows and templates for serving and training Hugging Face models on Lambda Cloud.

PyTorch

PyTorch ships pre-installed via Lambda Stack on all instances.

TensorFlow

TensorFlow ships pre-installed via Lambda Stack on all instances.

Resources

🔗
Website
Website
🔗
Developer
Developer
🔗
Documentation
Documentation
🌐
Portal
Portal
📝
SignUp
SignUp
🔗
Login
Login
💰
Pricing
Pricing
📰
Blog
Blog
📜
TermsOfService
TermsOfService
📜
PrivacyPolicy
PrivacyPolicy
💬
Support
Support
👥
GitHubOrganization
GitHubOrganization
🔗
LinkedIn
LinkedIn
📦
SDK
SDK

Sources

apis.yml Raw ↑
aid: lambda-labs
name: Lambda
description: Lambda (formerly Lambda Labs) is a GPU cloud provider offering on-demand NVIDIA GPU instances,
  1-Click Clusters of 16-2,000+ interconnected H100 and B200 GPUs, long-term reserved Hyperplane capacity,
  filesystems, firewalls, and SSH key management. Lambda Cloud is accessed via a REST control-plane API,
  the web console, and SDKs/CLI tooling.
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
url: https://raw.githubusercontent.com/api-evangelist/lambda-labs/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
type: Index
access: 3rd-Party
position: Producer
tags:
- AI
- Cloud
- Clusters
- Compute
- GPU
- Inference
- Machine Learning
apis:
- aid: lambda-labs:cloud-api
  name: Lambda Cloud API
  description: The Lambda Cloud API is the REST control plane for launching, listing, starting, stopping,
    and terminating GPU instances, managing SSH keys, firewalls, filesystems, images, and instance types.
    It supports on-demand single instances and underpins programmatic access to Lambda's GPU fleet.
  humanURL: https://docs.lambda.ai/api/cloud
  baseURL: https://cloud.lambda.ai/api/v1
  tags:
  - Cloud
  - Compute
  - Filesystems
  - Firewalls
  - GPU
  - Instances
  - REST
  - SSH Keys
  properties:
  - type: Documentation
    url: https://docs.lambda.ai/api/cloud
  - type: Documentation
    url: https://docs.lambda.ai/public-cloud/cloud-api/
- aid: lambda-labs:1-click-clusters
  name: Lambda 1-Click Clusters
  description: Lambda 1-Click Clusters provision interconnected clusters of 16 to 2,000+ NVIDIA H100 SXM
    or B200 GPUs for short-duration distributed training workloads. The product is exposed through the Lambda
    Cloud console and is integrated with the Cloud API surface.
  humanURL: https://docs.lambda.ai/public-cloud/1-click-clusters/
  tags:
  - B200
  - Clusters
  - GPU
  - H100
  - Training
  properties:
  - type: Documentation
    url: https://docs.lambda.ai/public-cloud/1-click-clusters/
- aid: lambda-labs:filesystems
  name: Lambda Cloud Filesystems
  description: Lambda Cloud Filesystems provide persistent, sharable storage attached to on-demand instances
    for datasets and checkpoints. Filesystems are managed through the Cloud API and console.
  humanURL: https://docs.lambda.ai/public-cloud/filesystems/
  tags:
  - Filesystems
  - Persistent Storage
  - Storage
  properties:
  - type: Documentation
    url: https://docs.lambda.ai/public-cloud/filesystems/
common:
- type: Website
  url: https://lambda.ai
- type: Developer
  url: https://docs.lambda.ai
- type: Documentation
  url: https://docs.lambda.ai
- type: Portal
  url: https://cloud.lambda.ai
- type: SignUp
  url: https://cloud.lambda.ai/sign-up
- type: Login
  url: https://cloud.lambda.ai/login
- type: Pricing
  url: https://lambda.ai/service/gpu-cloud
- type: Blog
  url: https://lambda.ai/blog
- type: TermsOfService
  url: https://lambda.ai/legal/terms-of-service
- type: PrivacyPolicy
  url: https://lambda.ai/legal/privacy-policy
- type: Support
  url: https://lambda.ai/contact
- type: GitHubOrganization
  url: https://github.com/LambdaLabsML
- type: LinkedIn
  url: https://www.linkedin.com/company/lambda-labs
- name: Lambda Stack
  url: https://lambda.ai/lambda-stack-deep-learning-software
  type: SDK
- type: Features
  data:
  - name: On-Demand GPU Instances
    description: Self-serve, first-come access to 1x, 2x, 4x, and 8x NVIDIA GPU virtual machines billed
      per-hour with no egress fees.
  - name: 1-Click Clusters
    description: Pre-configured clusters of 16-2,000+ interconnected H100 SXM or B200 GPUs for distributed
      training.
  - name: Hyperplane Reserved Capacity
    description: Long-term reserved GPU clusters sold via direct sales engagement for sustained training
      workloads.
  - name: Lambda Stack
    description: Pre-installed CUDA, cuDNN, PyTorch, and TensorFlow software stack across all Lambda Cloud
      instances.
  - name: Filesystems
    description: Persistent, sharable storage attached to on-demand instances for datasets and checkpoints.
- type: GPUs
  data:
  - name: NVIDIA B200 SXM6
    description: Blackwell-generation flagship GPU, listed at $6.69-$6.99/GPU/hr.
  - name: NVIDIA H100 SXM
    description: 80GB Hopper GPU on SXM, listed at $3.99-$4.29/GPU/hr.
  - name: NVIDIA GH200
    description: Grace Hopper Superchip, listed at $2.29/GPU/hr.
  - name: NVIDIA A100 SXM (80GB)
    description: 80GB Ampere GPU on SXM, listed at $2.79/GPU/hr.
  - name: NVIDIA A100 PCIe (40GB)
    description: 40GB Ampere GPU on PCIe, listed at $1.99/GPU/hr.
  - name: NVIDIA RTX A6000
    description: 48GB Ada/Ampere workstation GPU, listed at $1.09/GPU/hr.
  - name: NVIDIA Tesla V100
    description: 16GB Volta GPU, listed at $0.79/GPU/hr.
- type: Integrations
  data:
  - name: Hugging Face
    description: Reference workflows and templates for serving and training Hugging Face models on Lambda
      Cloud.
  - name: PyTorch
    description: PyTorch ships pre-installed via Lambda Stack on all instances.
  - name: TensorFlow
    description: TensorFlow ships pre-installed via Lambda Stack on all instances.
maintainers:
- FN: Kin Lane
  email: [email protected]
  url: https://apievangelist.com