Together AI Releases Together Compiler: AI Inference 2.6x Faster
Together AI launches Together Compiler, an agent-driven loop for continuous inference optimization, boosting TPS speeds by up to 2.6x.
Stock photo for illustration only, not from the actual event
- Together AI launches Together Compiler agent-driven optimization loop
- Accelerates AI inference TPS by up to 2.6x
- Continuously recompiles as production traffic shifts
- Requires under 24 hours of tuning per model
Together AI has officially released Together Compiler, an agent-driven loop designed to continuously re-optimize the inference forward pass as traffic patterns fluctuate. The system dynamically adapts execution paths to maintain peak efficiency under varying workloads.
According to benchmark results, the new compiler outperformed the best InferenceX configurations by up to 2.6x in tokens per second (TPS). Notably, this performance leap was achieved in under 24 hours of optimization time per individual model.
Stock photo for illustration only, not from the actual event
Inference optimization at scale has traditionally required intensive manual profiling and static compilation. Introducing an agent-driven loop for continual compilation allows infrastructure to react to shifting production traffic autonomously, bridging the gap between static model weights and dynamic hardware execution.
Source: MarkTechPost
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