# Together AI

> End-to-end platform for generative AI with fast inference, fine-tuning, and GPU cluster solutions

Together AI provides a comprehensive AI platform designed to support the full generative AI lifecycle, from model inference to fine-tuning and large-scale training. Known as the "AI Acceleration Cloud," the platform offers developers and enterprises a suite of solutions to deploy, customize, and train AI models with superior performance, cost-efficiency, and scalability.

The platform's flagship offering, Together Inference, enables users to run over 200 open-source models, including leading ones like Llama 4, DeepSeek R1, Gemma 3, and Mistral Small 3, through fast and reliable APIs. What distinguishes Together Inference is its exceptional speed—up to 4x faster than alternatives like vLLM and more than 2x faster than major cloud providers'' AI services. This performance comes from Together''s custom-built inference stack, which includes proprietary optimizations tailored to different traffic profiles and model architectures.

For organizations requiring model customization, Together Fine-Tuning offers both full fine-tuning and LoRA adaptation capabilities. Users maintain complete ownership of their fine-tuned models and can deploy them through Together''s infrastructure. The service is designed with ease of use in mind, providing straightforward APIs for developers while delivering the computational efficiency needed for effective model adaptation.

Together GPU Clusters represents the platform''s solution for massive AI workloads like large-scale model training. These clusters feature top-tier NVIDIA hardware, including GB200, H200, and H100 GPUs, connected through high-speed interconnects and managed via a specialized software stack. The service starts at $1.75 per hour and scales to support the most demanding AI training requirements.

The platform emphasizes flexibility in deployment options, allowing users to choose between serverless endpoints for simplicity and dedicated instances for predictable workloads. Enterprise customers can deploy models in their VPC environments, ensuring compliance with security standards including SOC 2 and HIPAA.

Together AI''s value proposition centers on delivering superior price-performance at scale. When compared to proprietary models like GPT-4o and OpenAI o1, Together claims cost savings of up to 11x when using equivalent open-source models on their infrastructure. This cost advantage, combined with automatic scaling to accommodate growing request volumes, makes the platform particularly attractive for production deployments.

Behind these offerings is Together''s continuous research and innovation, including contributions to AI acceleration techniques like FlashAttention-3, Cocktail SGD, and sub-quadratic model architectures. The company actively participates in the open-source community through projects like RedPajama, furthering their mission to make advanced AI more accessible and performant.

## Features
- Access to 200+ open-source models including Llama, DeepSeek, Gemma, and Mistral
- Fast inference with up to 4x better performance than alternatives
- Flexible deployment options (serverless or dedicated endpoints)
- Enterprise VPC deployment with SOC 2 and HIPAA compliance
- Full fine-tuning and LoRA adaptation capabilities
- Complete ownership of fine-tuned models
- High-performance GPU clusters with GB200, H200, and H100 hardware
- Automatic scaling to meet growing workloads
- Cost-efficiency compared to proprietary model alternatives
- Enterprise-grade security and data privacy

## Integrations
Python, JavaScript, REST API, NVIDIA GPUs, OpenAI-compatible API, Language models, Image models, Embedding models, Enterprise VPC, Cloud environments

## Platforms
API, WEB

## Pricing
Paid

## Links
- Website: https://www.together.ai
- Documentation: https://docs.together.ai
- Repository: https://github.com/togethercomputer
- EveryDev.ai: https://www.everydev.ai/tools/together-ai