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Verdict

A quick read before you dig into the full page.

Best if
You are aI Developers and need: Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)
Skip if
You need a free plan with no credit card
Pick this when
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Overview

Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.

Together AI screenshot

Best for

Short scenarios where Together AI tends to shine.

  • Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)

    Best for AI Developers

  • Building AI customer support bots that scale to high message volumes (e.g., Zomato)

    Best for AI Researchers

  • Developing production-grade AI applications by unlocking data for developers and businesses

    Best for Machine Learning Engineers

  • Creating next-generation text-to-video models (e.g., Pika)

    Best for Data Scientists

  • Building cybersecurity models (e.g., Nexusflow)

    Best for Enterprises building AI applications

  • Achieving simpler operations, improved latency, and greater cost-efficiency for AI models (e.g., Arcee AI)

    Best for Startups leveraging generative AI

  • Developing custom generative AI models from scratch

    Best for Companies focused on open-source AI

  • Performing multi-document analysis, codebase reasoning, and personalized tasks

    Best for Organizations requiring scalable GPU infrastructure

How it works

Users can interact with Together AI through easy-to-use APIs for serverless inference or deploy models on custom hardware via dedicated endpoints. Fine-tuning is available through simple commands or by controlling hyperparameters via API. GPU clusters can be requested for large-scale training. The platform also offers a web UI, API, or CLI to start or stop endpoints and manage services. Code execution environments are available for building and running AI development tasks.

Example outputs 1

Sample generations and before/after results for Together AI.

Together AI screenshot
Together AI screenshot

Access & connections

Where you can use Together AI, and what it plugs into.

Platforms

Web

Integrations

Kubernetes

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Serverless Inference API for open-source models
  • Dedicated Endpoints for custom hardware deployment
  • Fine-Tuning (LoRA and full fine-tuning)
  • Together Chat app for open-source AI
  • Code Sandbox for AI development environments
  • Code Interpreter for executing LLM-generated code
  • GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)
  • Extensive Model Library (200+ generative AI models)
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  • OpenAI-compatible APIs
  • Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)
  • High-Speed Interconnects (InfiniBand, NVLink)
  • Robust Management Tools (Slurm, Kubernetes)

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In the news

Launch coverage and community mentions for Together AI.

FAQ 7

What is Together AI?
Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.
How to use Together AI?
Users can interact with Together AI through easy-to-use APIs for serverless inference or deploy models on custom hardware via dedicated endpoints. Fine-tuning is available through simple commands or by controlling hyperparameters via API. GPU clusters can be requested for large-scale training. The platform also offers a web UI, API, or CLI to start or stop endpoints and manage services. Code execution environments are available for building and running AI development tasks.
What types of AI models does Together AI support?
Together AI supports over 200 generative AI models, including Chat, Multimodal, Language, Image, Code, and Embedding models, with a strong focus on open-source options.
What GPU hardware is available on Together AI?
Together AI offers state-of-the-art NVIDIA GPUs, including GB200, B200, H200, H100, A100, L40, and L40S, for both inference and training workloads.
How does Together AI optimize performance and cost?
Together AI optimizes performance and cost through custom transformer-optimized kernels (e.g., FP8 inference kernels, FlashAttention-3), quality-preserving quantization (QTIP), speculative decoding, and competitive pricing models.
Can I fine-tune my own models on Together AI?
Yes, Together AI provides comprehensive fine-tuning capabilities, including LoRA and full fine-tuning, allowing users to train and improve high-quality models with complete model ownership and no vendor lock-in.
Is Together AI suitable for enterprise use?
Yes, Together AI offers secure, reliable AI infrastructure, SOC 2 and HIPAA compliance, dedicated endpoints, and expert AI advisory services, making it suitable for enterprise-scale deployments.
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