Foundational research powering efficient inference at scale
Together AI ● Covered by 3 sources
Together AI describes how inference costs dominate production AI systems at 80-90% of total lifetime cost, requiring optimization across latency, throughput, concurrency, and scheduling dimensions. The company has developed a full-stack approach including techniques like adaptive speculative decoding (Aurora delivering up to 1.25x speedup), custom hardware optimization on NVIDIA Blackwell systems, and intelligent batching that ship research to production within weeks. Better inference efficiency directly improves margins for AI-native companies by enabling more requests per GPU-hour and expanding economically viable use cases.
Why it matters
As AI moves from research to production, the challenge for AI-native teams shifts from building models to running them — efficiently, reliably, and at scale.
