AI Model HostingLLM DeploymentServerless Computing

Featherless.ai

Host large language models instantly without managing servers

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Featherless.ai

Target Audience

  • AI Developers
  • ML Researchers
  • Startup Tech Teams
  • AI Prototyping Teams

Hashtags

Social Media

Overview

Featherless.ai lets developers deploy AI models from HuggingFace without any server setup. Get instant access to 3,700+ models like LLaMA-3 and QWEN-2 starting at $10/month. It automatically handles scaling and privacy - your usage isn't logged, and models can be swapped in under 1 second. Perfect for prototyping or running private AI applications.

Key Features

1

Instant Deployment

Launch models in <1 second with dynamic swapping

2

Unlimited Usage

No token limits - pay monthly for continuous access

3

Privacy First

Zero logging of chats, prompts, or completions

4

FP8 Quantization

Faster inference with minimal quality loss

5

HuggingFace Integration

Access 3,700+ models directly from HF repository

Use Cases

🛠️

Deploy custom LLM prototypes

🔍

Test multiple model architectures

🤖

Build private AI applications

📊

Run extended model experiments

Pros & Cons

Pros

  • Affordable entry price ($10/month)
  • No server management required
  • True privacy with zero data logging
  • Massive model library (3,700+ options)

Cons

  • Limited to LLaMA-3/QWEN-2 architectures
  • Concurrency limits on lower-tier plans
  • No mobile/native apps available

Pricing Plans

Feather Basic

monthly
$10

Features

  • Models up to 15B parameters
  • 2 concurrent requests max
  • Personal use only

Feather Premium

monthly
$25

Features

  • All model sizes
  • 4 concurrent requests (15B models)
  • 2 concurrent requests (34B models)

Feather Scale

monthly
$75

Features

  • Up to 72B parameter models
  • Custom concurrency scaling
  • Private model deployment

Pricing may have changed

For the most up-to-date pricing information, please visit the official website.

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Frequently Asked Questions

What architectures does Featherless support?

Currently supports LLaMA-3 and QWEN-2 models up to 16k context length, with plans to add more architectures

How private is my data?

No logs stored - your chats, prompts, and completions remain completely private

Can I request new models?

Yes - users can ping the team via Discord to add specific HuggingFace models

Integrations

HuggingFace

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