What Together AI does
Together AI is an AI infrastructure “neocloud” focused on delivering high-performance training and inference for open-weight (open source / open models) and custom models. The company positions its platform as an end-to-end stack that spans GPU capacity procurement, low-level kernel and systems optimizations, and developer-facing products for serverless and production-grade inference and fine-tuning. Together’s core users are AI application teams and organizations that want to run open models in production with strong latency/cost/performance economics, along with teams that need training/fine-tuning capabilities tied into the same inference ecosystem.
Product-wise, Together AI offers multiple deployment form factors for inference (including serverless endpoints and capacity/reservation-style options such as Provisioned Throughput) and also supports fine-tuning and training workflows for open and custom models. Together’s differentiation is strongly linked to its research-to-production pipeline in hardware-aware kernel optimization (e.g., FlashAttention-4 and kernel automation efforts), plus production feature work aimed at throughput, efficiency, and operational reliability.
Strategically, Together AI’s most recent capital raise (Series C announced July 1, 2026) is intended to accelerate expansion of its platform and compute capacity commitments, while continuing to push “open models” as a production default rather than a niche option. In parallel, the company has been shipping newer inference and infrastructure products (e.g., Provisioned Throughput and dedicated GPU cluster partnerships) and expanding model-lab partnerships (e.g., Moonshot AI for Kimi model releases) to improve developer experience and “day-zero” access to new open-weight models.