NVIDIA DSX Reference Design’s generation-specific, validated AI factory architectures cover compute, networking, storage, facilities infrastructure, and hardware cluster design.
NVIDIA DSX™ unifies design, simulation, operations, and ecosystem technologies to help build AI factories optimized for lowest token cost.
Overview
NVIDIA DSX defines how AI factories are designed, built, and optimized across the full stack—from chips and systems to infrastructure software, facilities, and partner technologies.
DSX combines open software libraries, workflow guides, and reference designs with NVIDIA compute platforms and co-designed OEM infrastructure to enable a broad ecosystem of software and hardware solutions.
Benefits
NVIDIA DSX AI factories are co-designed as unified products—optimized for lowest-cost tokens.
Technologies
NVIDIA DSX is a platform that spans multiple technologies that partners can build with and build on—designed to maximize AI tokens per watt across the AI factory.
Validated Architectures for AI Factories, From Chip to Grid
Simulation for AI Factory Design and Operations
Efficiently Operate AI Factories at Scale
Dynamic Power Management to Maximize Tokens per Watt
Grid-Responsive Power Orchestration for AI Factories
Secure Data Exchange Across IT, OT, and AI Factory Operations
The NVIDIA AI Cloud-Ready ISV Validation Initiative assesses infrastructure software across networking, compute, orchestration, and AI platform layers for NVIDIA Cloud Partner deployments.
Resources
Design and optimize AI factories with NVIDIA reference architectures, simulation tools, and ecosystem software.
Discover products that have been validated to meet NVIDIA’s functional requirement for AI factory applications.
NVIDIA DSX is NVIDIA’s AI factory-scale platform. It brings together design, simulation, operations, and ecosystem technologies to help partners build AI factories optimized for lowest token cost. DSX spans chips and systems, infrastructure software, facilities, and partner technologies, enabling AI factories to produce more tokens per watt.
It includes the following technologies: DSX Reference Design, DSX Sim, DSX MaxLPS, DSX Flex, DSX Exchange, and DSX OS.
An AI factory is purpose-built for AI workloads, with an emphasis on inference performance, energy efficiency, and lowest token cost. NVIDIA DSX AI factories are co-designed as unified systems across chips, systems, networking, infrastructure software, power, cooling, and operations, unlike traditional data centers that are often assembled from siloed components.
Traditional data centers primarily store, process, retrieve, and serve information. AI factories generate intelligence, turning data and energy into tokens, predictions, simulations, and AI-powered outputs.
The NVIDIA Omniverse DSX Blueprint is an open, comprehensive framework for designing and operating large-scale AI factories. It is generally available on build.nvidia.com and fully compatible with the NVIDIA Vera Rubin DSX AI Factory reference design.
The Blueprint lets developers build physically accurate digital twins of their AI factories, simulate operations in real time, and optimize performance before construction or deployment begins. It includes a complete AI factory digital twin, NVIDIA SimReady assets, hardware configs, prebuilt web UI, sample scripts, workflow guides, and NVIDIA CUDA-X™ and Omniverse core technologies.
NVIDIA DSX serves a broad, multi-discipline ecosystem: NVIDIA Cloud Partners (NCPs), sovereign clouds, and Land/Power/Shell (LPS) providers; manufacturers of power and cooling equipment; Independent Software Vendors (ISVs) for design, simulation, and facilities operations; Original Equipment Manufacturers (OEMs) and system integrators; architectural, engineering, and construction firms; and infrastructure ISVs providing IaaS and PaaS solutions.
DSX provides a common design standard so all parties—from Coolant Distribution Unit (CDU) manufacturers to ISVs—can contribute to AI factory builds without bespoke integrations.
NVIDIA DSX helps lower token cost by enabling AI factories to produce more tokens from the same power, infrastructure, and operations budget. Instead of treating compute, cooling, power, and operations as separate systems, DSX coordinates them as one integrated AI factory.
DSX MaxLPS helps recover stranded power so customers can provision up to 40% more GPUs within the same megawatt budget. DSX OS improves uptime through automated fleet-scale operations. DSX reference designs accelerate deployment, while DSX Exchange and DSX Sim help unify facility, power, cooling, and compute signals to improve throughput, efficiency, and tokens per watt.
Start with the NVIDIA DSX documentation to explore reference designs, software components, and partner integration paths for building AI factories. The docs provide technical guidance for designing, optimizing, and operating DSX-aligned infrastructure.