AI inference—how we experience AI through chatbots, copilots, and creative tools—is scaling at a double exponential pace. User adoption is accelerating while the AI tokens generated per interaction, driven by agentic workflows, long-thinking reasoning, and mixture-of-expert (MoE) models, soars in parallel.
To enable inference at this massive scale, NVIDIA delivers data-center-scale architecture on an annual rhythm. Our extreme hardware and software codesign delivers order-of-magnitude leaps in performance, drives down the cost per token, and unlocks greater revenue and profit.
NVIDIA Blackwell NVL72 delivers more than 10x better inference performance compared to NVIDIA H200 across a broad range of MoE models, including Kimi K2 Thinking, DeepSeek-R1, and Mistral Large 3.
The NVIDIA inference platform delivers a range of benefits captured in the Think SMART framework—spanning scale and efficiency, multidimensional performance, architecture and software codesign, ROI-driven by performance, and an extensive technology ecosystem.
NVIDIA Blackwell delivers industry-leading performance across diverse use cases, effectively balancing multiple dimensions: throughput, latency, intelligence, cost, and energy efficiency. For intelligent mixture-of-experts models such as Kimi K2 Thinking, DeepSeek-R1, and Mistral Large 3, users can achieve up to 10x faster performance on NVIDIA Blackwell NVL72 compared with H200.
NVIDIA Blackwell NVL72 delivers 1/10th the cost per token for MoE models. Performance is the biggest lever to drive down cost per token and maximize AI revenue. By processing ten times as many tokens using the same time and power, the cost per token drops dramatically, enabling MoEs to be deployed into everyday products.
With full-stack innovation across compute, networking, and software, NVIDIA enables you to efficiently scale complex AI deployments.
NVIDIA provides a proven platform with an install base of hundreds of millions of CUDA® GPUs, 7 million developers, contributions to 1,000+ open-source projects, and deep framework integrations with frameworks like PyTorch, JAX, SGLang, vLLM, and more
Performance Drives Profitability
The faster your system can generate tokens while delivering a seamless user experience, the more revenue you can make from the same power and cost footprint. NVIDIA Blackwell delivers $75M in revenue for every $5M CAPEX spent, a 15x return on investment.
Powerful hardware without smart orchestration wastes potential; great software without fast hardware means sluggish inference performance. NVIDIA’s full-stack innovation across compute, networking, and software enables the highest performance across diverse workloads. Explore some of the key NVIDIA hardware and software innovations.