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InfraLightning AI

Lightning AI

Persistent GPU cloud workspaces to build, train, and ship AI.

Category
Infra
Pricing
FREEMIUM
Hosting
Hybrid
Platforms
WebCLIAPI
Models
Model-agnostic
Verified
Jun 9, 2026

A cloud platform built around AI Studios — collaborative, persistent GPU workspaces for coding, training models, running inference, and building agents and AI apps. Pay-as-you-go GPUs with a monthly free credit allowance, plus a Pro tier and bring-your-own-cloud for enterprise. Made by the team behind the open-source PyTorch Lightning framework.

Capabilities 4

What it actually does — grouped by capability family.

  • GPU compute (primary capability)
  • Fine-tuning / training (secondary capability)
  • Model inference / serving (secondary capability)
  • App / agent deployment (secondary capability)

Pros & cons

  • Pause/resume persistent GPU Studios
  • Code, train, serve, build agents in one place
  • Bring-your-own-cloud for enterprise
  • Monthly free GPU credits
  • Pay-as-you-go can add up
  • Tied to its Studio environment
  • Less raw control than bare cloud

Tags

View all Infra
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training
  • View Runpod details
    InferencePAID

    Runpod

    Runpod

    GPU cloud for AI — on-demand instances and serverless inference.

    Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

    Serverless auto-scaling inference
    Community Cloud less reliable/secure
    • gpu-cloud
    • serverless
    • inference
    • deployment
    • +1
  • View Baseten details
    InferenceFREEMIUM

    Baseten

    Baseten

    Inference cloud for serving any AI model in production.

    Production inference platform offering both pre-optimized Model APIs (Llama, DeepSeek, and more, billed per token) and dedicated GPU/CPU deployments for custom models, billed per minute with no charge for idle time. Custom models are packaged with its open-source Truss format and autoscale, including scale-to-zero. Aimed at low-latency, high-throughput serving.

    Prebuilt Model APIs for Llama, DeepSeek
    Dedicated GPU rates run pricier than Modal
    • inference
    • model-serving
    • gpu
    • autoscaling
  • View Daytona details
    InfraFREEMIUMOpen core

    Daytona

    Daytona

    Secure, elastic sandboxes for running AI-generated code.

    Infrastructure for executing AI-generated code in isolated sandboxes — each a full composable computer with a dedicated kernel, filesystem, network stack, and allocated CPU, RAM, and disk. Sandboxes start in under 90ms, snapshot for persistence, and are driven programmatically through SDKs (Python, TypeScript, Ruby, Go, Java), an API, and a CLI. AGPL-3.0 and available as a managed service, self-hosted stack, or hybrid where you bring your own compute.

    Sub-100ms sandbox start
    AGPL-3.0 may deter some
    • sandbox
    • code-execution
    • agents
    • infrastructure
    • +1