AI platforms
Lightning AI
Lightning AI is an enterprise-grade cloud platform designed for AI teams to build, train, and deploy specialized models.
What is Lightning AI?
Lightning AI is an enterprise-grade cloud platform designed for AI teams to build, train, and deploy specialized models.Created by the makers of PyTorch Lightning, it provides end-to-end tools from data preparation to large-scale inference, empowering teams to truly own their AI rather than just renting generic services.
The platform offers a wide range of high-performance GPUs, including H200, B200, H100, and A100, available on-demand without long-term contracts.Whether prototyping interactively in Studios or pretraining at scale on InfiniBand clusters, Lightning AI delivers enterprise-grade security compliance (such as SOC2 and HIPAA) and granular cost management features.
Additionally, Lightning AI introduces GraphN, a service that provides inference and agent-building capabilities for open models via an OpenAI-compatible API, helping developers run large model workflows at a lower cost.
Key features
- On-Demand GPUsAccess top-tier GPUs like H200, B200, H100, and A100 with guaranteed availability.Self-serve in minutes with no long-term contracts required.
- End-to-End DevelManage the full lifecycle including dataset building, prototyping, optimization, comparison, pretraining, post-training, evaluation, and inference.
- GraphN Agent PlaRun open models via an OpenAI-compatible API with pre-built, customizable AI blueprints.Grow model calls into workflows with tools and knowledge bases.
- Enterprise SecurSOC2, HIPAA, and GDPR compliant.Features include SSO, role-based access control, audit logs, and encryption for data at rest and in transit.
- Cost ControlSet budgets by team or project, track costs in real-time, autosleep idle compute, and manage fine-grained data access permissions.
- Hybrid & PrivateSupport for Bring Your Own Cloud (BYOC), private cloud, and VPC deployments.Runs on your stack (K8s, Slurm) with elastic multi-cloud portability.
How to use it
- Sign up for a Lightning AI account and claim 50 free GPU hours.
- Create a project in Studio, select your desired GPU type (e.g., H100 or A100), and configure your development environment.
- Upload or connect datasets, and use the interactive coding environment to prototype and debug your models.
- Run hundreds of experiments in parallel using cluster resources to optimize and compare different model versions.
- Deploy your trained model via GraphN or your own endpoints, and test inference using the OpenAI-compatible API.
Where it fits
- Large-Scale TraiTrain specialized foundation models from scratch using InfiniBand GPU clusters and large datasets.
- AI Agent DevelopBuild complex AI workflows and agents by combining tools and data sources on the GraphN platform.
- Enterprise MLOpsProvide unified development environments, permission management, and cost monitoring for large teams to accelerate R&D to production.
Pricing and free quota
New users get 50 free GPU hours.On-demand H200 GPUs start from $4.50/hr.For detailed pricing, please refer to the official website.
Who it is for
- PyTorch Developers
- AI Research Teams
- Machine Learning Engineers
- Enterprises requiring private deployment
FAQ
Which GPU models does Lightning AI support?
The platform offers H200, B200, H100, A100, L4, and RTXP 6000 GPUs.Specific availability can be checked in the console.
What is GraphN?
GraphN is Lightning AI's agent and inference platform, providing access to open models via an OpenAI-compatible API and supporting the creation of AI workflows with tools and knowledge bases.
Does it support private cloud deployment?
Yes, Lightning AI supports private cloud, VPC, and Bring Your Own Cloud (BYOC) deployments, compatible with existing infrastructure like Kubernetes and Slurm.