Open in your browser for the best experience, or tap ••• at the top right, then Open in external browser.
ScaleReachTurn one video into viral shorts automaticallyHiggsfield AIAI-native creative suite for video and motionAdvertise6/10 spots leftAdvertise6/10 spots leftAdvertise6/10 spots left
kitio.ai
All toolsCategoriesCompareAI modelsFree toolsBlogSaved
Submit tool
ScaleReachSponsoredTurn one video into viral shorts automatically
BotyooSponsoredTurn every Instagram follower into a lead
kitio.ai

The directory of AI tools. Find the right AI tool for any task, compare pricing and discover alternatives.

contact@kitio.ai

Directory

  • All tools
  • Free tools
  • Compare
  • AI model rankings
  • Blog
  • Creators
  • Saved tools

For makers

  • Submit a tool
  • Pricing
  • Advertise
  • Creator studio
  • Contact

Categories

  • Chat assistants
  • Coding
  • Writing
  • Image
  • Video
  • Audio & voice
  • Design
  • Productivity
  • All categories

Legal

  • Terms of Service
  • Privacy Policy
  • Refund Policy
  • Contact

Newsletter

The 5 best new AI tools, every Monday.

No spam. One email a week. Unsubscribe any time.

© 2026 kitio.ai. All rights reserved.

PrivacyTermsRefunds
KITIO.AI
BotyooTurn every Instagram follower into a leadElevenLabsLifelike AI voices and text to speechAdvertise6/10 spots leftAdvertise6/10 spots leftAdvertise6/10 spots left
AI toolsModels & APIsPetals

Added Oct 29, 2026

Petals

Free
Petals open-source projectModels & APIs views clicks to the websiteNo ratings
Use tool

Run large language models together over a BitTorrent-style network

Distributed LLM inferenceFine-tuning supportPyTorch and Transformers APIAccess to hidden statesColab quickstartFree
OverviewReleasesPricingAlternativesPros & ConsPromptsReviewsQ&A
Open
petals.dev
PetalsRun large language models together over a BitTorrent-style networkVisit petals.dev

What is Petals?

Petals is an open-source system for running large models such as Llama 3.1 405B, Mixtral and BLOOM by splitting them across volunteers' machines. You load a small part of the model and rely on others to serve the rest.

Single-batch inference reaches a few tokens per second for 70B to 180B models, enough for chatbots and interactive apps, using a consumer GPU or Google Colab. Unlike hosted APIs, you can apply your own fine-tuning and sampling methods and even inspect hidden states, through a PyTorch and Hugging Face Transformers interface.

You can use the network or contribute your own GPU, and documentation lives on GitHub.

Features

  • Distributed LLM inference
  • Fine-tuning support
  • PyTorch and Transformers API
  • Access to hidden states
  • Colab quickstart

Tags

Open SourceInferenceDecentralized

Releases

+ Submit new release
  1. ListedOct 29, 2026

    Petals was added to the directory.

Organization

Petals open-source project

Listed by kitio.ai · unverified owner

Pricing

Pricing model
Free
Paid options from
100% free
Use tool

Sponsored

Your AI tool here

A Featured launch puts your tool in this spot and on the home page for a week.

Get featured

Top Petals alternatives

View all
Hugging Face

Models & APIs

The main hub for open models, datasets and AI demo apps

Freemium · $9/mo1 views🇺🇸Made in United States
Replicate

Models & APIs

Run and deploy open-source AI models through a simple API

Paid🇺🇸Made in United States
Fireworks AI

Models & APIs

Fast inference and fine-tuning platform for open models

Paid🇺🇸Made in United States
Together AI

Models & APIs

Cloud for running, fine-tuning and training open-source models

Paid🇺🇸Made in United States

Compare Petals

  • Petals vs Hugging Face
  • Petals vs Replicate
  • Petals vs Fireworks AI
  • Petals vs Together AI

If you liked Petals

  • DeepInfra

    Low-cost serverless API for hundreds of open-source models

    PaidModels & APIs🇺🇸Made in United States
    Visit
  • Prime Intellect

    Compute, RL training, evals and inference for building your own models

    PaidModels & APIs🇺🇸Made in United States
    Visit
  • BentoML

    Open-source model serving and a managed platform for AI inference

    FreemiumModels & APIs🇺🇸Made in United States
    Visit
  • Chutes

    Decentralized serverless inference for open models on Bittensor

    PaidModels & APIs
    Visit
  • Carton

    Open-source library to run ML models from many programming languages

    FreeModels & APIs
    Visit

Pros and cons

Pros

  • Runs very large models without owning big GPUs
  • Full control over sampling and fine-tuning
  • Free and open source

Cons

  • Speed is only a few tokens per second
  • Depends on volunteer servers
  • Not suited to production traffic

Prompts & results

No prompts yet. Add your own prompt and output to help others use this tool.

Share a prompt

Reviews

Q&A

What is Petals?

Petals is an open-source system for running large models such as Llama 3.1 405B, Mixtral and BLOOM by splitting them across volunteers' machines. You load a small part of the model and rely on others to serve the rest.

Do I need a big GPU?

No. The site says a consumer GPU or Google Colab is enough, since other participants serve the remaining model parts.

Can I fine-tune models?

Yes. You can apply any fine-tuning and sampling methods.

How much does Petals cost?

Petals is 100% free.

Is there a free version of Petals?

Yes. Petals is completely free to use.

What are the main features of Petals?

Distributed LLM inference, Fine-tuning support, PyTorch and Transformers API, Access to hidden states, Colab quickstart.

Who makes Petals?

Petals is made by Petals open-source project.

What are the best alternatives to Petals?

Popular alternatives include Hugging Face, Replicate, Fireworks AI.

–No ratings yet
5 ★0
4 ★0
3 ★0
2 ★0
1 ★0

How would you rate Petals?