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Runpod

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Cloud GPUs and serverless endpoints for training, fine-tuning, and running AI models.

FreemiumAI Model APIsAI Developer Tools

Verified Nov 2, 2026

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What is Runpod?

Runpod is a cloud platform for developing and running AI workloads. It provides dedicated GPU instances called Pods, autoscaling Serverless inference endpoints, and multi-node Clusters for distributed jobs. Developers can use it to experiment with models, fine-tune them, and deploy inference services within the same account.

Users can launch GPU environments with their own containers, frameworks, and code, or deploy open-source models and templates through Runpod Hub. For Serverless deployments, developers write a handler and expose their workload through an API endpoint. Runpod manages request queues, worker assignment, autoscaling, logs, and metrics. Public Endpoints also provide API access to pre-deployed image, video, language, and audio models without setting up infrastructure.

The platform offers more than 30 GPU options across 31 regions, along with persistent storage. Billing depends on the workload: dedicated GPU instances, inference workers, model requests, and storage have separate usage rates. Reserved capacity and enterprise contracts are available for teams that need guaranteed resources or larger deployments.

What can Runpod do?

  • On-demand GPU Pods

    Launch dedicated GPU environments for model development, training, fine-tuning, and long-running workloads.

  • Serverless inference

    Deploy API endpoints with managed request queues and workers that scale with demand.

  • Multi-node GPU clusters

    Run distributed workloads on GPU clusters with shared storage and optional reserved capacity.

  • Pre-deployed model APIs

    Call hosted image, video, audio, and language models without configuring your own GPU infrastructure.

  • Models and deployment templates

    Use Runpod Hub to deploy open-source models and templates, or bring your own containers and code.

  • Monitoring and persistent storage

    Access runtime logs, metrics, and persistent network storage for deployed AI workloads.

Who is Runpod for?

AI developers
Build, test, fine-tune, and serve models using GPU environments and inference APIs.
Machine learning teams
Run training and distributed workloads with a choice of GPU hardware and cluster configurations.
AI application teams
Scale production inference services with managed workers and usage-based billing.

How much is Runpod?

Official pricing

  • B300

    $8.99

  • H200

    $5.29

  • B200

    $7.99

  • RTX Pro 6000

    $2.49

  • H100 NVL

    $3.19

  • H100 PCIe

    $2.89

  • H100 SXM

    $3.99

  • A100 PCIe

    $1.79

  • A100 SXM

    $1.79

  • Pro 6000 MIG 48GB

    $1.29

  • L40S

    $1.09

  • RTX 6000 Ada

    $0.99

Free plan: The resembleai / Chatterbox Turbo public endpoint is free at $0.00 per 1,000 characters.

Frequently asked questions

How does Runpod charge for GPU compute?

Pricing varies by GPU and deployment type. Pods use dedicated-instance rates, Serverless charges for inference worker usage, and Clusters have separate rates; the listed GPU prices are hourly rates, not monthly subscriptions.

Can I deploy my own models and containers?

Yes. Runpod supports your own containers, frameworks, and code, as well as open-source models and deployment templates through Runpod Hub.

Can I call models without managing GPU infrastructure?

Yes. Public Endpoints provide API access to pre-deployed models, with pricing based on the model and its billing unit.

Does Serverless charge while an endpoint is idle?

Serverless endpoints can scale to zero, with no endpoint compute charge when they are not running. Storage is priced separately.

Are reserved GPUs available?

Yes. Runpod offers reserved clusters and contract pricing through its enterprise sales team.

Runpod alternatives

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  2. 2OpenAIAI models, ChatGPT, and an API platform for personal, business, and developer use.
  3. 3MiniMaxAI models, developer APIs, and apps for language, video, speech, and music.
  4. 4OpenRouterAccess AI models from multiple providers through one API and chat interface.
  5. 5MistralAI models, agents, and development tools for hosted or private deployment.

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