NVIDIA DSX™

View as Markdown
NVIDIA DSX™

NVIDIA DSX platform brings together reference designs, APIs, software libraries, and technologies to design, simulate, build, and operate AI factories. Explore the features and capabilities for each DSX component, and view linked technical resources.

Select a feature/capability tile to view linked resources, select a section title to jump to its detailed tab below.

DSX Sim™
DSX OS™
Platform Software
Infrastructure Software
DSX MaxLPS™
DSX Exchange™
DSX Hardware
DSX Facilities Infrastructure
DSX Flex
Grid Operator

DSX Sim

A suite of simulation technologies that together enable partners to design, validate, and operate AI factories before and after physical deployment.

NVIDIA DSX Air
High-fidelity logical simulation of NVIDIA hardware and software infrastructure — GPUs, SuperNICs, DPUs, switches — plus validated integrations with storage, security, and orchestration partners.
NVIDIA Omniverse DSX Blueprint for AI Factories
An end-to-end framework to design, simulate, build, and operate gigawatt-scale AI factory digital twins.

Browse the DSX Blueprint GitHub repo or get started on build.nvidia.com
AI Factory Digital Twin Pipeline Samples
Sample scripts and presets for creating DSX SimReady USD assets, covering CAD ingestion, optimization, validation, and metadata workflows for digital twin and AI factory applications.

Browse the AIF Pipeline Samples GitHub repo

DSX OS

Open-source, modular software for building, operating, and scaling multi-tenant AI factory infrastructure with efficiency, performance, and reliability.

Platform Software

KAI Scheduler
Open source Kubernetes-native scheduler for AI workloads with topology-aware placement and resource allocation.
NVIDIA Run:ai
Kubernetes-native platform for AI workload and GPU orchestration, designed to maximize accelerated infrastructure utilization.
NVIDIA Cloud Functions (NVCF)
Unified API layer for scaling inference and simulation workloads across one or more Kubernetes clusters.

Browse the NVCF GitHub repo
Grove
Modular component of NVIDIA Dynamo — provides a Kubernetes API for defining and scaling multi-component AI inference workloads.
Dynamo
Distributed inference-serving framework built to deploy models in multi-node environments.

Browse the Dynamo GitHub repo

Infrastructure Software

NVIDIA GPU Operator
Automates the management of NVIDIA software components required to provision GPUs in Kubernetes.

Browse the GPU Operator GitHub repo
NVIDIA Network Operator
Automates the provisioning and management of NVIDIA networking resources in Kubernetes clusters.

Browse the Network Operator GitHub repo
AI Cluster Runtime
Canonical, continuously validated definition of the NVIDIA-accelerated Kubernetes runtime.

Browse the AICR GitHub repo
NVSentinel
Open-source, Kubernetes-native GPU monitoring and fault remediation.

Browse the NVSentinel GitHub repo
NVIDIA Cluster Readiness Engine
NVIDIA Cluster Readiness Engine is a Kubernetes controller for GPU cluster burn-in certification, orchestrated benchmarking, and hardware failure detection.

Browse the NCRE GitHub repo
NVIDIA Fleet Intelligence
Agent-based managed service offering real-time insights into GPU fleet health and integrity.

Browse the Fleet Intelligence Agent GitHub repo
NVIDIA Attestation
The NVIDIA Attestation Suite enhances Confidential Computing by providing robust mechanisms to ensure the integrity and security of devices and platforms.
NVIDIA Infra Controller (NICo)
Bare-metal provisioning and secure lifecycle management for multi-tenant GPU infrastructure.

Browse the NICo GitHub repo
NVIDIA DOCA Platform Framework (DPF)
Orchestration system to build, deploy, and operate BlueField-accelerated infrastructure services.
NVIDIA Switch Infrastructure - Config Manager
Open-source network automation and configuration management platform for large-scale datacenter operations.

Browse the Config Manager GitHub repo
NVIDIA Rack Management Service
NVIDIA Rack Management Service is a stateless, rack-level hardware management service that trusted services and operators use to run power control, inventory, firmware updates, and switch configuration for NVIDIA infrastructure.

Browse the RMS GitHub repo

DSX MaxLPS

NVIDIA DSX MaxLPS is a suite of chip, thermal, system, and software technologies that maximizes AI factory performance-per-watt within a fixed power envelope.

DSX MaxLPS Overview
Explore the core MaxLPS concepts, see how they work together within a fixed power envelope, and find next steps for applying them to AI factory designs.
Sizing DSX AI Factory Infrastructure for MaxLPS
Reference Design Technical Note on infrastructure-sizing considerations across MaxP and MaxQ GPU power profiles and the MaxLPS AI factory framework. (NVOnline #1161311)
NVIDIA Dynamic Power Software
For approved early-preview engagements, learn the dynamic power-allocation model and use the documentation to scope a site pilot for GPU and rack power management.

DSX Exchange

The IT/OT integration and communications hub, coordinating compute, network, energy, power, and cooling plant signals in the AI factory.

DSX Event Bus
NATS-based event bus for AI factory communications and operations.

Browse the DSX Exchange GitHub repo
AsyncAPI Schemas
Event bus schemas for DSX data exchange services.

Browse the AsyncAPI Schemas GitHub source
Agent Gateway
The agent gateway is the single external entry point that operator agents (run by DSX operators) and tenant agents (run by tenants consuming DSX compute) use to reach DSX MCP servers.

Browse the Agent Gateway GitHub source
BMS Companion Guide
This guide is for System Integrators and BMS contractors who will configure a Building Management System to publish facility data to the DSX Event Bus. It covers the concepts, topic structure, metadata fields, and implementation steps needed to complete a BMS integration.

DSX Flex

DSX Flex enables renewable and hybrid power orchestration across utility, on-site renewables, and storage, providing a schema to receive grid signals (load shedding, demand response, pricing events) and dynamically adapt AI workloads.

DSX Flex Power Management Schema
AsyncAPI schema for integrating with DSX Exchange, providing messages for grid load targets, power states, power-breach alerts, and enforcement outcomes.

DSX Reference Designs

NVIDIA DSX Reference Designs provide generation-specific, validated AI factory architectures.

Explore related facilities infrastructure guidance, power-system qualification resources, and validated ecosystem products for AI factory deployment.

(NVOnline access required. Contact your NVIDIA representative for details.)
NVIDIA Vera Rubin NVL72 Reference Design
(NVOnline #1151654)
DSX Facilities Infrastructure Reference Design Overview
Interactive walkthrough of the components and technologies within the DSX Facilities Infrastructure Reference Designs.
BESS Self-Qualification Guidelines
Defines the partner-run qualification process for a Battery Energy Storage System (BESS) intended to support AI load buffering, demand response (DR), and low voltage ride-through (LVRT) in grid-connected and islanded on-site generation modes.
NVIDIA DSX AI Factory Marketplace
Products that have been validated to meet NVIDIA functional requirements for AI factory applications.

NVIDIA Cloud Partner Resources

NVIDIA Cloud Partner Software Reference Guide
Infrastructure-native reference for building AI cloud services — software components, architecture patterns, and deployment guidance.
NVIDIA Inference Reference Architecture
Software architecture to help operators build performant, cost-effective inference solutions on NVIDIA platforms.
NVIDIA Requirements for AI Clouds
Primary requirements document for NVIDIA to cloud partners (NCPs) providing compute and software services, defining service delivery expectations, and providing a reference set of requirements and capabilities.
Inference Provider Platform Requirements on GB300 NVL72 for NCPs
Requirements for an NVIDIA Cloud Partner (NCP) building a GB300 NVL72 compute cluster to deliver a managed Kubernetes cluster to Inference Service Providers (ISPs), minimizing friction for deploying and running inference platforms.
NVIDIA Exemplar Cloud
Improves performance per TCO, security, and reliability for cloud providers with hardware and software recipes, tools, capabilities, and references.

Browse the Exemplar Performance recipes
NVIDIA AI Cloud Ready Initiative
Qualifies and validates AI infrastructure and platform software for deployment on NVIDIA-accelerated cloud infrastructure.

Browse the NVIDIA AI Cloud Validation Suite