Foundational research powering efficient inference at scale

What this post added

This post details Together AI's ongoing focus on optimizing inference for production AI systems, emphasizing its importance for unit economics and product viability. It highlights the company's compounding stack of research, systems engineering, and hardware expertise. Key contributions include the production deployment of FlashAttention-4, adaptive speculative decoding via the Aurora system (which learns from live inference traces), full-stack hardware optimization for NVIDIA Blackwell, and intelligent scheduling and batching for high-throughput inference. The post also discusses the economic implications of inference optimization, noting significant cost reductions per token and the compounding advantage of efficiency gains for AI-native companies.