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DeepInfra

Freemium
aiserverlessgpumachine learninginferenceapideveloper toolsllmstable diffusionpay-as-you-go

DeepInfra is a serverless GPU platform for developers, offering high-speed, pay-as-you-go inference for a vast library of open-source AI models via a simple REST API that eliminates infrastructure management.

Try it out

DeepInfra provides a serverless platform designed for developers to run AI model inference at scale. It offers access to powerful GPUs on a pay-as-you-go basis, abstracting away the complexities of server provisioning and management. The service hosts a wide variety of popular open-source models for text generation, image creation, and more, all accessible through a straightforward API. Its unique value proposition lies in its efficiency and speed, with fast cold-start times and auto-scaling to handle fluctuating demand seamlessly. This makes it an ideal solution for startups and enterprises looking to integrate advanced AI capabilities into their applications without incurring the high fixed costs of dedicated hardware.

Pros

  • Serverless architecture with automatic scaling eliminates infrastructure management.
  • Pay-per-second pricing model is highly cost-effective for variable or intermittent workloads.
  • Extensive library of pre-deployed, popular open-source models (LLMs, diffusion models, etc.).
  • Optimized for performance with very fast cold-start times, often under 2 seconds.
  • Simple, well-documented REST API that is easy to integrate into any application.

Cons

  • Usage-based pricing can become unpredictable and potentially expensive for sustained, high-volume workloads.
  • Primarily focused on inference; not suitable for model training or fine-tuning tasks.
  • While it supports many models, deploying a completely custom or private model can have limitations compared to self-hosting.
  • Reliance on a third-party API can create vendor lock-in, making future migrations more complex.

Key features

  • Serverless GPU inference
  • Pay-per-second billing for compute time
  • Large, searchable catalog of open-source AI models
  • Simple REST API for model integration
  • Automatic scaling from zero to handle traffic spikes
  • Enterprise plans with dedicated endpoints and private deployments
  • Optimized for low-latency and fast cold starts
  • Support for running any public model from Hugging Face

Integrations

PythonJavaScript/TypeScriptNode.jscURLLangChainLlamaIndexHugging FaceVercelNext.js

Target audience

Developers, AI engineers, and businesses seeking to integrate AI models into applications via a simple API without managing GPU infrastructure.

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Founded

2021

Headquarters

San Francisco, USA

Pricing Tiers

Pay-as-you-go

Get $1 in free credits. Access all public models with billing per second of compute time. Includes auto-scaling and a community Discord for support. Pricing varies based on model and GPU.

Free to start

Enterprise

For businesses requiring guaranteed performance and advanced features. Includes dedicated endpoints for zero cold starts, private model deployment, custom SLAs, and premium support.

Custom

Frequently Asked Questions

Top Alternatives to DeepInfra

Replicate

Choose Replicate for its strong community features for sharing and discovering models, along with a similar pay-per-use inference API.

RunPod

Opt for RunPod if you need more control, offering both serverless inference and on-demand GPU instances at competitive prices.

Amazon SageMaker Serverless Inference

Select SageMaker for deep, native integration into the AWS ecosystem and enterprise-grade compliance and security features.

Anyscale

Use Anyscale for building and scaling entire, complex AI applications and systems, as it provides a more comprehensive platform beyond just model inference.

Ready to get started?

Join thousands of users and see how DeepInfra can transform your workflow today.

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