NVIDIA's full-stack inference software, codesigned with its GPU and networking hardware, is enabling companies like Baseten, Cognition, Deep Infra, Together AI, and Cursor to dramatically reduce cost per token in production AI workloads. On the Blackwell platform, the stack has cut token costs by up to 5x for DeepSeek V4 within a month. The stack operates across three layers — production orchestration, application acceleration, and infrastructure access — and when combined, techniques like disaggregated serving, NVFP4 precision, and multi-token prediction compound to deliver up to 20x throughput gains. The open source ecosystem, particularly PyTorch and CUDA-native frameworks like vLLM and SGLang, accelerates this further by enabling day-zero deployment of new frontier models on Blackwell hardware.
