Together Compiler Optimizes Inference for Production Traffic
Inference cost and latency increasingly hinge on compiler-level tuning rather than the choice of model itself, and having an agent handle that tuning continuously shifts what serving platforms compete on. Teams running high-volume inference can compare Together's 2.6x figure against their current vLLM or SGLang setups before committing. Together AI also offers ASEAN access via its API, making it a practical option for regional builders scaling production workloads.
Together AI launched Together Compiler, a system that lets agents continually optimize inference for production traffic. The company says it serves trillions of tokens per day. Together Compiler runs up to 2.6x faster than leading InferenceX configurations and up to 50% faster on customer workloads. The announcement credits a team including Reyna Abhyankar, Dylan Lim and Simran Arora.
Introducing Together Compiler: agents that continually optimize inference for production traffic.
Serving trillions of tokens/day. Up to 2.6x faster than leading InferenceX configs, up to 50% faster on customer workloads.
Congrats @reyna_abhyankar @dylan__lim @simran_s_arora and the team!
