Together AI
Cloud platform providing GPU infrastructure and APIs to run and fine-tune open-source AI models.
Updated April 2026
Overview
- Website
- together.ai
- Founded
- 2022
- Headquarters
- San Francisco, CA
- Segment
- Model Distribution & Serving
Product overview
Together AI provides a cloud platform for running, fine-tuning, and deploying open-source LLMs and other AI models at scale with optimized inference and cost-effective GPU clusters. Enterprises, developers, and AI startups use it as a cost-effective alternative to proprietary model APIs for production workloads. Distinct for low-cost open-source model inference, custom fine-tuning pipelines, and large-scale GPU cloud capacity focused specifically on generative AI.
Revenue model
Usage-based API pricing per token (e.g., Llama 3.3 70B $0.18/M input, $0.59/M output; Qwen 2.5 72B $0.12/M input, $0.18/M output); custom fine-tuning billed per GPU-hour; enterprise plans with volume discounts and dedicated support.
Moat
Together AI's key competitive moat is its proprietary software stack and cutting-edge systems research, including custom CUDA kernels, Transformer-optimized kernels, quality-preserving quantization, speculative decoding, and the Together Kernel Collection, which deliver up to 2x faster inference, 60% lower costs, and 90% faster pre-training on GPU clusters compared to standard infrastructure. This performance optimization, combined with a full-stack AI platform enabling seamless training, fine-tuning, and deployment of open-source models on user-owned data with abstracted orchestration, creates high switching costs for customers reliant on its superior speed, economics, and developer tools.