Together AI

Together AI runs an API platform for inference and fine-tuning of open-source models, plus dedicated GPU cluster rentals, positioned as an alternative to building your own model-serving infrastructure.

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CategoryAI Platforms & Generative AI
AccessSee vendor
PricingPaid
APIAvailable
Overview

What is Together AI?

Together AI operates an inference and fine-tuning API for open-source language, image and audio models, alongside dedicated GPU cluster rentals for teams training or serving models at scale. It is a compute and model-serving provider rather than a foundation-model lab built around its own proprietary flagship model.

Read the full overview

Sources checked 27 September 2026: official website, documentation.

Why teams use it

Key capabilities

  • Inference API: Hosted endpoints for a catalog of open-source models.
  • Fine-tuning: Managed fine-tuning jobs on supported open models.
  • Dedicated GPU clusters: Rented GPU capacity for training or high-volume serving.
Core areas

Open-model inference, fine-tuning and GPU cluster rental for AI teams that don't want to run their own inference infrastructure.

Positioning

Shortlist Together AI when you want to serve or fine-tune open-source models without operating your own GPU fleet, or need dedicated GPU capacity for training. Compare token/GPU-hour pricing and model availability against other inference providers (Fireworks AI, Replicate, RunPod) for your specific model list.

Why it matters

Model catalogs and pricing on inference platforms change quickly; a useful trial checks that the exact model version and context length you need is currently offered, and benchmarks real latency/throughput rather than relying on the advertised token price.

Deployment & technical details

Technical details

Access
See vendor
Source model
Other license
Founded
2022
Headquarters
San Francisco, USA
Pricing model
Paid
API
Available
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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