Chutes

Chutes is a serverless, decentralized AI compute platform designed for deploying and scaling open-source machine learning models in production. It provides on-demand access to a global network of compute providers, enabling developers to run inference for large language models, image generation, video, speech, music, and other modalities without managing infrastructure. Chutes aims to be the first to offer the latest state-of-the-art open-source models, often making them available within minutes of release. It emphasizes high-performance, hyperscaling capabilities, with claims of powering trillions of tokens per month. The platform features a flexible, developer-friendly API compatible with popular standards like OpenAI's chat completion format, allowing easy integration into existing applications. It supports ephemeral jobs, batch processing, and serverless functions, where users can bring their own code and let Chutes handle the execution. Chutes integrates with the Bittensor network, leveraging a decentralized architecture that rewards compute providers with cryptocurrency, which can help reduce costs and increase resilience. In addition to standard model inference, Chutes offers Trusted Execution Environment (TEE) secure compute, providing isolated and private execution for sensitive workloads. It also operates consumer-facing applications like Chutes Chat and Chutes Search, demonstrating its technology. The platform is open-source, encouraging transparency and community contributions. Overall, Chutes positions itself as a comprehensive solution for AI inference, combining the benefits of serverless scaling, decentralized infrastructure, and cutting-edge model availability.

Category: AI API
Pricing: Unknown

Problem solved

Deploying and scaling AI models traditionally requires managing servers, GPU clusters, and handling peak demand, which is costly and complex. Chutes solves this by providing serverless, decentralized compute that automatically scales, reduces infrastructure overhead, and provides instant access to the latest open-source models through a simple API.

Use cases

Running large language model inference for chat and text generation
Generating images, video, speech, and music using open-source generative models
Embedding data for search and recommendation systems
Content moderation with NSFW detection and hate speech analysis
Secure, private AI model execution using Trusted Execution Environments (TEE)
Ephemeral and batch processing jobs for AI workflows
Building decentralized AI applications powered by the Bittensor network

Audience

Developers
ML Engineers
Data Scientists
Startups
Enterprise

Pros

Rapid availability of new state-of-the-art open-source models
Serverless scaling with no infrastructure management
Decentralized infrastructure for potential cost savings and resilience
Open-source platform with community-driven development
Supports multiple model modalities beyond text (image, video, audio)

Cons

Pricing details are not publicly available, making cost estimation difficult
Decentralized network may introduce variability in performance or latency

Official website: https://chutes.ai/

Canonical LambdaBase page: https://www.lambdabase.com/tools/chutes

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Chutes

Unknown

• Updated Jul 15, 2026, 09:09 AM

Chutes is a serverless, decentralized AI compute platform designed for deploying and scaling open-source machine learning models in production.

Use Cases ▼

Running large language model inference for chat and text generation

Generating images, video, speech, and music using open-source generative models

Embedding data for search and recommendation systems

Content moderation with NSFW detection and hate speech analysis

Secure, private AI model execution using Trusted Execution Environments (TEE)

Ephemeral and batch processing jobs for AI workflows

Building decentralized AI applications powered by the Bittensor network

What Problem It Solves ▼

Key Features ▼

✓

Rapid availability of new state-of-the-art open-source models

✓

Serverless scaling with no infrastructure management

✓

Decentralized infrastructure for potential cost savings and resilience

✓

Open-source platform with community-driven development

✓

Supports multiple model modalities beyond text (image, video, audio)

Overview

Full Description ▼

The platform features a flexible, developer-friendly API compatible with popular standards like OpenAI's chat completion format, allowing easy integration into existing applications. It supports ephemeral jobs, batch processing, and serverless functions, where users can bring their own code and let Chutes handle the execution. Chutes integrates with the Bittensor network, leveraging a decentralized architecture that rewards compute providers with cryptocurrency, which can help reduce costs and increase resilience.

In addition to standard model inference, Chutes offers Trusted Execution Environment (TEE) secure compute, providing isolated and private execution for sensitive workloads. It also operates consumer-facing applications like Chutes Chat and Chutes Search, demonstrating its technology. The platform is open-source, encouraging transparency and community contributions.

Overall, Chutes positions itself as a comprehensive solution for AI inference, combining the benefits of serverless scaling, decentralized infrastructure, and cutting-edge model availability.