Enterprises expanding their AI usage are encountering a common issue - the limitations of traditional static speculators. These smaller AI models work alongside larger language models during inference but struggle to adapt to changing workloads efficiently. To address this challenge, Together AI has introduced ATLAS, an adaptive speculator that leverages real-time learning to deliver a remarkable 400% speedup in inference processes. By continuously analyzing and adjusting to the workload dynamics, ATLAS optimizes speculative decoding, a crucial technique for reducing inference costs and latency. With ATLAS leading the way, enterprises can now enhance the performance of their AI deployments, ensuring smoother and faster operations in the evolving landscape of artificial intelligence.