How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost
NVIDIA Amr Elmeleegy
NVIDIA's inference software stack has reduced token costs for DeepSeek V4 by up to 5x on the Blackwell platform within one month through optimizations across production operations, application acceleration, and infrastructure access layers. Companies like Baseten, Cognition, and Deep Infra are using NVIDIA's TensorRT-LLM and Dynamo frameworks to achieve throughput gains ranging from 30% to 50% improvements in token generation speed. The full-stack approach compounds individual optimizations to increase Blackwell token throughput per GPU by up to 20x, enabling lower cost-per-token for production AI inference workloads.
Why it matters
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, CPUs, networking and systems, and strengthened by a broad open source ecosystem, NVIDIA’s […]
