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Together AI

Together AI provides a cloud platform for building, deploying, and scaling AI applications with cutting-edge research and price-performance.

Introduction

Together AI is an AI native cloud platform designed for building, deploying, and scaling AI applications. It offers a comprehensive suite of tools and services, including serverless inference, dedicated endpoints, fine-tuning capabilities, and code execution environments. The platform emphasizes open-source models and cutting-edge research, providing developers with the resources to create high-performance, cost-effective AI solutions.

Key Features:

  • Model Platform: Access a wide range of open-source models, including OpenAI's gpt-oss, DeepSeek, Qwen, and Llama, with OpenAI-compatible APIs for easy migration.
  • GPU Cloud: Utilize instant GPU clusters and reserved clusters with frontier hardware like NVIDIA GB200 NVL72 and HGX B200 for training, fine-tuning, and inference.
  • Serverless Inference: Deploy models using a serverless API for inference, optimizing for price-performance.
  • Dedicated Endpoints: Deploy models on custom hardware for dedicated capacity and expert support.
  • Fine-Tuning: Train and improve high-quality models with fine-tuning capabilities.
  • Code Execution: Build AI development environments with code sandboxes and execute LLM-generated code with code interpreters.
  • Evaluations: Measure model quality with evaluation tools.

Use Cases:

  • AI-Native Applications: Build and scale AI-powered applications with reliable infrastructure and developer tools.
  • Model Training and Fine-Tuning: Train and customize open-source models for specific tasks.
  • Inference at Scale: Deploy models for inference with optimized performance and cost efficiency.
  • AI Research: Leverage cutting-edge research and open-source contributions to advance AI development.

Latest News

Blog | Together AI

Blog | Together AI

8/4/2026

Junxiong Wang, Shirley Wu, Zelei Shao, Vikranth Srivatsa, Jue Wang, Roy Yuan, Qingyang Wu, Alpay Ariyak, Rupert Wu, Wai Tong Chung, Chenfeng Xu, Yonatan Oren, Pragaash Ponnusamy, Yineng Zhang, Avner May, Leon Song, Tri Dao, Percy Liang, Ce Zhang, Ben Athiwaratkun ... How Together AI Uses AI Agents t...

Together AI | The AI Native Cloud

Together AI | The AI Native Cloud

8/4/2026

Powering every step of the AI development journey —from experimentation to massive scale. ... The fastest way to run open-source models on demand. Powered by cutting-edge inference research. No infrastructure to manage, no long-term commitments. ... Cost-effectively process massive workloads asynchr...

Key research and product announcements at the AI Native Conf

Key research and product announcements at the AI Native Conf

8/4/2026

This level of abstraction lets teams actually optimize their training loop, rather than working around someone else's assumptions about how RL should work. Over 70% of RL wall-clock time is rollouts — inference — and that's where Together's research program directly applies. Distribution-aware specu...

Announcing $106M round led by Salesforce Ventures

Announcing $106M round led by Salesforce Ventures

8/4/2026

Just in the past few months we released several major product updates including introducing Embeddings, function calling and JSON mode, multiple RAG integrations, Vercel integration, Together Inference Engine support for Mixtral, LlamaGuard, and new models like Gemma, Qwen, and more. The Together AI...

About Us | Together AI

About Us | Together AI

8/4/2026

The full stack platform for production AI, powered by cutting-edge systems research.

Alternatives

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  • Google Cloud AI Platform

    Google Cloud AI Platform provides a suite of services for developing and deploying AI models, leveraging Google's infrastructure and expertise in machine learning.

  • Microsoft Azure Machine Learning

    Microsoft Azure Machine Learning offers a cloud-based environment for building, training, and deploying machine learning models, integrated with other Azure services.

  • Hugging Face

    Hugging Face provides open-source tools and a platform for building, training, and deploying natural language processing models, with a strong focus on community and collaboration.

  • Databricks

    Databricks offers a unified platform for data engineering, data science, and machine learning, simplifying the process of building and deploying AI applications at scale.

  • IBM Watson

    IBM Watson provides a set of AI-powered services and tools for building and deploying intelligent applications, with a focus on enterprise-grade solutions.

  • CoreWeave

    CoreWeave offers specialized cloud infrastructure optimized for compute-intensive workloads like AI and machine learning, providing high performance and scalability.

  • Lambda Labs

    Lambda Labs provides cloud GPUs and infrastructure for deep learning, offering a cost-effective alternative for training and deploying AI models.

  • Paperspace

    Paperspace provides a cloud platform for building and deploying machine learning models, with a focus on ease of use and accessibility for developers.

  • RunPod

    RunPod offers a decentralized GPU cloud for AI/ML, providing a cost-effective and scalable alternative to traditional cloud providers.

FAQ

User Reviews

4.2/5.0
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Pricing

Pricing Model: Usage-based

Inference

Pay only for the compute you use, with no commitments. Scale up or down as needed.

Pay-as-you-go
per-use

AI Training

Train models on demand with no commitments. Scale up or down as needed.

Pay-as-you-go
per-use

Data Services

Pay only for the data services you use, with no commitments. Scale up or down as needed.

Pay-as-you-go
per-use

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