What Together AI does
Together AI (together.ai) is a research-driven AI infrastructure company that provides a production platform for open-weight (open-source) model inference, fine-tuning/training, and GPU-based accelerated compute. Its platform is positioned as “AI-native cloud” infrastructure that lets developers call models via a single API surface, deploy open models with different serving and capacity options, and (optionally) bring their own custom model artifacts for managed production serving.
At a product level, Together focuses on inference performance and predictability using in-house systems research (e.g., speculative decoding / routing approaches) and an optimization-first stack. For inference, Together offers serverless inference for on-demand usage and also dedicated / provisioned capacity modes intended for customers who need higher control and/or guaranteed availability. For teams that want to ship custom models, Together also provides a managed deployment approach (including a “dedicated container inference” option) to run user-provided containers with autoscaling, traffic isolation, and monitoring. For model customization, Together provides fine-tuning as part of its broader platform.
Business-wise, Together sells developer- and enterprise-grade usage-based compute (tokens / usage for serverless) and capacity/throughput options for more predictable production workloads, targeting AI-native startups and established enterprises that want to deploy open models without vendor lock-in. Strategically, Together has been scaling its compute and platform footprint through large funding rounds (notably Series B and Series C) and expanding product offerings across inference deployment forms, managed GPU cluster options, and reliability-oriented operations features (observability, self-healing, etc.).