Together AI envisions a future where generative AI is accessible, transparent, and under the full control of developers and researchers everywhere. Our mission is to democratize AI infrastructure by building an open, decentralized cloud platform that empowers innovation without boundaries or vendor lock-in.
Driven by cutting-edge research and technological breakthroughs, we craft scalable and efficient AI acceleration services optimized for the entire model lifecycle — from training to fine-tuning to deployment. We believe in the societal value of open AI systems that enhance creativity, knowledge, and progress, while respecting privacy and data ownership.
At Together AI, we are creating the foundational layers for transparent and accountable AI platforms that foster collaboration, accelerate discovery, and enable the next generation of AI applications across industries and disciplines.
Our Review
When we first dove into Together AI, we weren't quite sure what to expect from yet another AI infrastructure company. But after spending time with their platform, we found ourselves genuinely impressed by what this San Francisco startup has built in just two short years.
The company's trajectory is nothing short of remarkable—from founding in June 2022 to hitting a $1.25 billion valuation by March 2024. That's the kind of growth that makes even seasoned tech watchers do a double-take.
What Makes Together Different
Here's where Together AI really shines: they're not trying to lock you into their proprietary models. Instead, they've built their entire platform around open-source AI, giving developers actual ownership of their models and data. It's refreshing in a market where vendor lock-in feels like the default strategy.
Their technical chops are solid too. We're talking about custom CUDA kernels, quality-preserving quantization, and speculative decoding—the kind of optimization work that actually moves the needle on performance and cost. The fact that they're running over 8,000 A100 and H100 GPUs delivering 20 exaflops of compute shows they're serious about scale.
The Developer Experience Hits Different
What caught our attention was how thoughtfully they've designed the developer experience. You can spin up dedicated endpoints, access serverless inference through APIs, or grab entire GPU clusters depending on your needs. The flexibility is genuinely useful, not just marketing speak.
Their Model Library is comprehensive—covering everything from chat and code to vision and audio models. Plus, features like Together Chat and Code Sandbox make it easy to experiment without heavy infrastructure commitments. We particularly liked their "Open Deep Research" workflow for complex reasoning tasks.
Who Should Pay Attention
Together AI feels purpose-built for developers and researchers who want control without complexity. If you're an AI startup that needs to move fast without getting locked into proprietary systems, this platform makes a lot of sense. The integration with popular frameworks like LangChain and Vercel shows they understand the developer ecosystem.
Enterprises looking for transparent, customizable AI infrastructure will find value here too—especially those who prioritize data ownership and model control. The rapid customer growth (45,000+ registered developers) suggests they're hitting the right notes with their target audience.
Feature
Serverless Inference API access to state-of-the-art open-source models
Dedicated Endpoints for custom model deployments
GPU Clusters with NVIDIA A100, H100, GB200 GPUs
Fine-Tuning tools for open-source models with ownership control
Developer Tools including Together Chat, Code Sandbox, Code Interpreter, Model Library
Open-Source research releases including models, datasets, and optimization techniques
Advanced workflows like Open Deep Research for multi-hop reasoning and report generation
Jobs
FAQs
Together AI
