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Together AI

Together AI AI Agent
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Overview

Cloud inference, fine-tuning and model infrastructure for developer-built AI applications.

Together AI provides serverless inference, dedicated model endpoints, fine-tuning and GPU infrastructure. Developers choose a model and endpoint, supply an API key and integrate calls into their application.

An agent application needs its own workflow, tools, permissions and review process around those model calls. Costs depend on the selected model, usage and infrastructure; self-service inference and dedicated deployments have different billing structures.

Product overview

Capabilities, pricing and fit

Together AI is best understood as AI cloud infrastructure rather than an agent-building platform. Together AI provides model inference, fine-tuning, and GPU-cluster infrastructure.

Information as of July 30, 2026

What it can do

  • Agent building and deployment

    Together AI provides model inference, fine-tuning, and GPU-cluster infrastructure.[1]

Where it fits best

  • Developing and deploying generative AI applications with enhanced performance and scalability.[1]
Sources (1)
  1. Together AI | The AI Native CloudOfficial site · checked 2026-07-30

Autonomy level

18/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: Together AI supplies model inference and deployment infrastructure. It does not by itself choose business goals, execute application tools or supervise an end-to-end task. Developers implement the agent loop, connect tools and determine permissions and human review. The score describes this supporting platform role, not the independence of an appli...

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Custom Comparisons

Some of the use cases of Together AI:

  • Developing and deploying generative AI applications with enhanced performance and scalability.
  • Fine-tuning AI models using proprietary data to achieve higher accuracy in domain-specific tasks.
  • Accessing a variety of open-source models for chat, language, image, code, and more.
  • Optimizing AI workloads to reduce operational costs while maintaining high performance.

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Popularity level: 70%

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AI Agent Store · Specialist AI agents

For in-house machine learning operations teams

Your AI agent for cloud model deployment operations.

Exploring Together AI? For in-house machine learning operations teams, your own AI agent can investigate model alerts, maintain serving pipelines, and verify model rollouts. Start with a setup tailored to this work.

  • ✓ Investigate model alerts
  • ✓ Maintain serving pipelines
  • ✓ Verify model rollouts
Explore this specialist AI agent

Tailored starting setup. Chat on our site. See the workflow and monthly plan.

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