Model Hubs & Serving

Flama

Transform machine learning models into fast APIs with Flama.

Status
Generally available
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0
Visit Flama Compare with alternatives

What it is

Flama is a modern framework that helps developers ignite their machine learning models into blazing-fast APIs, streamlining the deployment process and enhancing performance.

Flama stands out as a modern, efficient framework for deploying machine learning models as APIs, focusing on performance and ease of use.

When it fits — and when it doesn’t

A good fit for

  • Developers looking to deploy machine learning models as fast, efficient APIs

  • Teams needing a modern framework that simplifies the deployment process of ML models

Look elsewhere if

  • Projects requiring real-time streaming capabilities (Flama is optimized for batch processing)

  • Use cases where cloud-hosted solutions are preferred over self-hosting

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited third-party integration support

    Documentation lacks examples for integrating with popular services like AWS, GCP, or Azure

  2. 02

    Small and less active community

    GitHub issues are infrequently addressed; limited contributions from the core team

What it does well

  • Rapid deployment of machine learning models as APIs

  • Enhanced performance for model inference

  • Modern framework design for ease of use and integration

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Flama

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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Flama — tracked on AI Navigator

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