Together.ai Needs a 4x Accelerator to Keep Up — NexaAPI Was Already Fast & Cheap

Together.ai Needs a 4x Accelerator to Keep Up — NexaAPI Was Already Fast & Cheap Together.ai just announced ATLAS — the AdapTive-LeArning Speculator System. It's genuinely impressive engineering: a runtime-learning speculative decoding system that dynamically adapts to your workload, reaching up to 500 tokens/second on DeepSeek-V3.1 and 460 TPS on Kimi-K2. But here's the thing developers should notice: Together.ai needed to build an entire adaptive ML system just to make their inference competitive. That's a lot of complexity to absorb. If you're a developer who just wants fast, affordable LLM inference without managing speculator systems, custom training pipelines, or runtime-learning infrastructure — there's a simpler path. What Is ATLAS, Actually? ATLAS (AdapTive-LeArning Speculator System) is Together.ai's latest inference optimization. It works by: Speculative decoding — predicting multiple future tokens in parallel Runtime learning — continuously adapting to your specific traffic