Skip to content

Together AI

Request correction

Together AI is an AI startup offering a full-stack AI Native Cloud platform for building, training, and running generative AI models.

Last updated September 15, 2026

AI crawler reads

2requests

1companies
  • Anthropic2
Profile
2
Controversies
0
JSON · MD
0
First read
Nov 4, 2026
Latest read
Nov 4, 2026

From this site's server log

Overview

Together AI describes itself as building the AI Native Cloud — a full-stack AI platform powered by cutting-edge research. The platform covers inference, compute, and model shaping, and is positioned to accelerate inference, model shaping, and pre-training. Its offerings include Serverless Inference, Batch Inference, Provisioned Throughput, Dedicated Model Inference, Dedicated Container Inference, Accelerated Compute, and Sandbox. The company states it is trusted by thousands of customers, including AI companies such as Cognition, Decagon, Eleven Labs, Cursor, and Suno.

History

Together AI was started by co-founders who saw generative AI as a turning point for human progress and believed the technology should be open and abundantly available rather than controlled by a handful of companies. The company built a full-stack AI platform for open-source AI, grounded in frontier research and delivering fast and efficient inference for AI applications and agents. It announced an $800 million Series C funding round from investors including Aramco Ventures, NVIDIA, Vista Equity, General Catalyst, Emergence Capital, SE Ventures, Pegatron, Salesforce Ventures, March Capital, DTCP Growth, Lux Capital, Geodesic, and PSP Partners, and secured commitments for over 500 MW of compute capacity to be capitalized independently by its new investors.

Products and positioning

Full-stack AI platform for production AI, powered by cutting-edge systems research, focused on open-source AI.

  • Serverless Inference

    The fastest way to run open-source models on demand, powered by cutting-edge inference research, with no infrastructure to manage and no long-term commitments.

  • Batch Inference

    Cost-effectively process massive workloads asynchronously, scaling to 30 billion tokens per model with any serverless model or private deployment.

  • Provisioned Throughput

    Committed inference capacity with token-based pricing, reserved throughput, and a 99% uptime SLA, with drop-in API compatibility for production workloads.

  • Dedicated Model Inference

    Deploy models on dedicated infrastructure, purpose-built for teams who need speed, control, and the best economics in the market.

  • Dedicated Container Inference

    GPU infrastructure purpose-built for generative media workloads, deploying video, audio, and image models with performance acceleration powered by Together Research.

  • Accelerated Compute

    Scale from self-serve instant clusters to thousands of GPUs, all optimized for better performance with Together Kernel Collection.

  • Sandbox

    Use fast, secure code sandboxes at scale to set up full-scale development environments.

Sources4 sources

Cite this profile: Cite the canonical profile. /brand-wiki/together-ai · Editorial policy · How profiles are compiled