About Together AI
Cloud platform for training, fine-tuning, and deploying open-source AI models.
AI Focus Areas
- Cloud infrastructure for open-source models
- Training and fine-tuning LLMs
- High-performance inference clusters
- Model routing and orchestration
- Developer tooling for generative AI
Key Products
- Together AI cloud platform for training and inference
- Hosted open-source LLMs and embeddings
- APIs and SDKs for model composition
Market Position
Together AI frames itself as a neutral, open alternative to single‑vendor proprietary APIs, focusing on hosting and optimizing a wide range of open-source models. Its competitive edge comes from combining large-scale GPU infrastructure with software that simplifies training, fine‑tuning and serving, plus a strong alignment with the open-source community. Backers like General Catalyst, Prosperity7 and NVidia underscore its credibility as a serious infrastructure player. It competes with hyperscaler offerings, dedicated GPU clouds and other model platforms by emphasizing flexibility, transparent pricing and the ability to keep models portable across environments, which appeals to enterprises wary of lock‑in.
AGI Relevance
As frontier capabilities emerge in both closed and open models, platforms like Together will be critical in determining how widely those capabilities are disseminated and under what controls. By enabling organizations to host and adapt powerful open models on their own terms, Together helps distribute AI capability beyond a handful of large labs. This decentralization has both benefits and risks: it broadens innovation, but also potentially amplifies access to dangerous capabilities. Together’s evolving practices around safety filters, rate limits and monitoring for open models will be a microcosm of broader AGI governance questions in an open ecosystem.
Investment Highlights
Raised a $305M Series B at a $3.3B valuation in February 2025, co‑led by General Catalyst and Saudi Aramco’s Prosperity7 Ventures with participation from Salesforce Ventures, NVidia and others. Earlier rounds were led by top-tier Silicon Valley investors and helped finance large GPU clusters and an expanding engineering team.
Tags
- Model Hosting
- Fine-tuning
- Open Source
