Together AI’s ATLAS adaptive speculator delivers 400% inference speedup by learning from workloads in real-time
Enterprises expanding AI deployments are hitting an invisible performance wall. The culprit? Static speculators that can’t keep up with shifting workloads. Speculators are smaller AI models that work alongside large language models during inference. They draft multiple tokens ahead, which the main model then verifies in parallel. This technique (called speculative decoding) has become essential …