AI Inference Solutions
Powering the most performant, efficient, and profitable AI factories.
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, andmixture-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.
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. This is how frontier intelligence becomes mainstream.
NVIDIA Blackwell swept the new SemiAnalysis InferenceMAX™ v1 benchmarks, achieving the highest AI inference performance and best overall efficiency. NVIDIA Blackwell enables the highest AI factory revenue: A $5M investment in GB200 NVL72 generates $75 million in token revenue—a 15x return on investment.
DeepSeek-R1 8K/1K results show a 15x performance benefit and revenue opportunity for NVIDIA Blackwell GB200 NVL72 over Hopper H200.
The NVIDIA inference platform delivers a range of benefits captured in theThink 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.
Delivering 1.4 exaFLOPS in a single rack, the NVIDIA GB200 NVL72 unifies 72 NVIDIA Blackwell GPUs with NVIDIA NVLink™ and NVSwitch™ to deploy massive reasoning models at scale while reducing token costs by 1/10th
The NVIDIA HGX™ B200, based on the NVIDIA Blackwell architecture, features 8 NVIDIA Blackwell GPUs connected by ultra-fast NVSwitch. It delivers high AI inference performance and energy efficiency for large-scale AI inference.
NVIDIA Dynamo is a distributed inference-serving framework to deploy models in multi-node environments at AI-factory-scale. It streamlines distributed serving by disaggregating inference, optimizing routing, and extending memory through data caching to cost-effective storage tiers.
TensorRT™-LLM is an open-source library for high-performance, real-time LLM inference on NVIDIA GPUs. With a modular Python runtime, PyTorch-native authoring, and a stable production API, it’s optimized to maximize throughput, minimize costs, and deliver fast user experiences.
Get unmatched AI performance with NVIDIA AI inference software optimized forNVIDIA-accelerated infrastructure. The NVIDIA Blackwell Ultra, H200 GPU, NVIDIA RTX PRO™ 6000 Blackwell Server Edition, and NVIDIA RTX™ technologies deliver exceptional speed and efficiency for AI inference workloads across data centers, clouds, and workstations.
AI inference demand is surging—and NVIDIA Blackwell Ultra is built to meet that moment. Delivering 1.4 exaFLOPS in a single rack, the NVIDIA GB300 NVL72 unifies 72 NVIDIA Blackwell Ultra GPUs with NVIDIA NVLink™ andNVFP4 to power massive models with extreme efficiency, achieving 50x higher AI factory output while reducing token costs and accelerating real-time reasoning at scale.
The NVIDIA H200 GPU—part of the NVIDIA Hopper Platform— supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3e, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.
The RTX PRO 6000 Blackwell Server Edition GPU delivers supercharged inferencing performance across a broad range of AI models, achieving up to 5x higher performance for enterprise-scale agentic and generative AI applications compared to the previous-generation NVIDIA L40S. NVIDIA RTX PRO™ Servers, available from global system partners, bring the performance and efficiency of the Blackwell architecture to every enterprise data center.
TheRTX PRO 6000 Blackwell Workstation Edition is the first desktop GPU to offer96 GB of GPU memory. The power of theBlackwell GPU architecture, combined with large GPU memory and theNVIDIA AI software stack, enables RTX PRO-powered workstations to deliver incredible acceleration for generative AI and LLM inference directly on the desktop.
Ever wonder how complex AI trade-offs translate into real-world outcomes? Explore different points across the performance curves below to see firsthand how extreme hardware and software codesign make NVIDIA Blackwell Ultra the most performant, efficient, and profitable choice.

DeepSeek R1 ISL = 32K, OSL = 8K, GB300 NVL72 with FP4 Dynamo disaggregation. H100 with FP8 in-flight batching. Projected performance subject to change.
Wondering how each configuration translates to real user experiences? Explore the curves solo or with TJ’s guidance by clicking “Explore with TJ”, and see it brought to life in the simulated chat on the right.
Read how Amdocs built amAIz, a domain-specific generative AI platform for telcos, using NVIDIA DGX™ Cloud and NVIDIA NIM inference microservices to improve latency, boost accuracy, and reduce costs.
Learn how Snapchat enhanced the clothes shopping experience and emoji-aware optical character recognition using Triton Inference Server to scale, reduce costs, and accelerate time to production.
Discover how Amazon improved customer satisfaction by accelerating their inference 5X faster with TensorRT.
Have an existing AI project? Apply to get hands-on experience testing and prototyping your AI solutions.
Elevate your technical skills in generative AI and large language models with our comprehensive learning paths.
Fast-track your generative AI journey with immediate, short-term access to NVIDIA NIM inference microservices and AI models—for free.
Unlock the potential of generative AI with NVIDIA NIM. This video dives into how NVIDIA NIM microservices can transform your AI deployment into a production-ready powerhouse.
Triton Inference Server simplifies the deployment of AI models at scale in production. Open-source inference-serving software lets teams deploy trained AI models from any framework—from local storage or cloud platform—on any GPU- or CPU-based infrastructure.
UneeQ
Ever wondered what NVIDIA’s NIM technology is capable of? Delve into the world of mind-blowing digital humans and robots to see what NIMs make possible.
Explore everything you need to start developing your AI application, including the latest documentation, tutorials, technical blogs, and more.
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