Lightning AI

What if you could build and deploy lightning-fast AI models with expert help at every step?

RecommendedLightning AI offers a powerful, PyTorch-centric cloud platform that streamlines AI development and deployment for serious AI practitioners and teams.

Lightning AI provides a comprehensive AI cloud platform for developers and AI teams, making it easy to build, train, and deploy AI models. It offers collaborative GPU cloud workspaces, persistent GPU notebooks, managed GPU clusters, and inference solutions, all designed to accelerate AI development from research to production.

Visit Lightning AI

Visit Lightning AI

Key Features:

AI Studio: Collaborative GPU cloud workspace with AI assistance for debugging, training, and inference.
AI Notebooks: Persistent GPU notebooks with AI help for coding and data analysis.
GPU Clusters: Managed training and inference clusters supporting SLURM, K8s, or multi-cloud LEC.
Inference: Pay-per-token APIs, custom model serving, and fully managed inference solutions.
Model Hub: Access to top open and closed models via a single API, with 30M free tokens/month.

Pros

PyTorch developers and AI teams needing a collaborative GPU cloud workspace.
Researchers and engineers looking to train and finetune AI models at scale.
Organizations requiring robust inference solutions for deploying custom and open models.

Cons

While there's a free tier, advanced features and higher GPU usage quickly move to paid plans.
The platform is heavily geared towards PyTorch, which might be a learning curve for non-PyTorch users.
Enterprise-grade features like custom cloud integration and dedicated support are only available on higher-tier plans.

Pricing

freemiumFree tier

Starting at:$20/month

Free tier:1 free active Studio (4-hour restarts), 32 core CPU, single GPUs (T4, L4, L40S, A100, H100, H200 with session limits), 2 concurrent GPUs, 50 GB persistent storage, 15 req/min to model APIs, 120,000 tok/min to model APIs, 15 monthly credits (~80 free GPU hours).

Plans

Free: 15 monthly credits, 1 free active Studio (4-hour restarts)
Pro $20/month (billed annually): 240 annual credits, 1 active Studio (no restarts), multi-GPU, multi-node training (6 GPUs max)
Teams $119/user, per month (billed annually): 600 annual credits, full-node A100, H100, H200, multi-node training (12 GPUs max)
Enterprise: Custom credits, use your cloud credits, priority GPU access, full-node B200s, unlimited multi-node training, custom rate limits, SOC2, HIPAA, dedicated support

Trial:Free tier available indefinitely

Categories:

AI Infrastructure Code & Development Business & Enterprise

Tags:

pytorch gpu cloud ai development model deployment inference training ai studio notebooks llm multimodal

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Quick Decision

Try if: You are a PyTorch developer or AI team looking for a comprehensive, collaborative, and scalable cloud platform for the entire AI lifecycle, from development to deployment, with strong GPU support and AI assistance.

Skip if: You are not using PyTorch, have very basic AI needs, or are looking for a completely free solution without any scaling requirements.

Not for: Individuals or small teams with minimal AI development needs and budget constraints.; Users primarily working with frameworks other than PyTorch.; Those seeking a simple, no-code AI solution without technical involvement.

Trust Signals

Founded
2019
Users
350,000+
Team Size
large
Funding
$108M

Compliance

SOC2HIPAA

Notable Customers

MIT Sustainable Design LabOctAIEarthDaily AnalyticsAeira

Tech Details

Platforms

webapi

Integrations

AWSGCPSLURMK8sHugging FaceOpenAIAnthropicGoogle (Gemini)MiniMax

AI Model
Nemotron 3 Ultra, Claude Opus, Gemini Flash, GPT-5.4, DeepSeek V4 Pro, Gemma 4, MiniMax M2.5, GPT OSS

Open Source

Yes

Support

Channels

Discord communityGitHubdedicated Slack channel (Enterprise)

Company

Name
Grid.ai, Inc. dba Lightning AI
Location
New York, San Francisco, London, Seattle

Lightning AI is the creator of PyTorch Lightning, a framework for training and finetuning AI models, and Lightning AI Studio. Founded in 2019, the company aims to empower everyone to build AI by providing intuitive open-source tools, powerful cloud infrastructure, and expertise.

FAQ

What is PyTorch Lightning and how is it related to Lightning AI?

PyTorch Lightning is an open-source framework for training and finetuning AI models, created by William Falcon in 2015 and open-sourced in 2019. Lightning AI is the company behind PyTorch Lightning and offers the Lightning AI Studio cloud platform, which integrates PyTorch Lightning for building, training, and deploying AI models.

How does the free tier work and what are its limitations?

The free tier provides 15 monthly credits, which translate to approximately 80 free GPU hours on interruptible machines. You can run one CPU Studio for free 24/7, but it requires a restart every 4 hours. It also includes single GPU access with session limits, 50 GB persistent storage, and limited API requests/tokens.

Can I use my existing AWS/GCP cloud credits with Lightning AI?

Yes, you can use your AWS/GCP cloud credits, but this feature is available only for Enterprise tier customers. Upgrading to the Enterprise plan allows you to maximize your cloud commitments and run your AI platform within your own VPC.

Use Cases

PyTorch developers and AI teams needing a collaborative GPU cloud workspace.
Researchers and engineers looking to train and finetune AI models at scale.
Organizations requiring robust inference solutions for deploying custom and open models.