# 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. 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. #### all #### simulation #### software #### maxlps #### exchange #### flex #### reference-design #### resources ## AI-Readable DSX Landing Page Architecture And Resource Catalog This catalog is generated from the DSX landing page data files so AI agents can understand the custom React architecture diagram, descriptor mappings, and linked resource cards. Do not edit this block by hand; run `node scripts/generate-landing-ai-catalog.mjs` after changing landing-page descriptors, card data, or diagram groups. ### Query Routing Notes * On the DSX landing page at /dsx, short references such as "the diagram", "this diagram", "main diagram", "overview diagram", "interactive diagram", or "architecture diagram" refer to the main interactive DSX architecture diagram unless the user names a different page or diagram. ### Architecture Diagram Summary * DSX Sim spans the AI factory lifecycle and represents simulation, digital-twin, and SimReady asset capabilities used to design, validate, build, and operate an AI factory before and after physical deployment. * DSX OS is the operating layer. Selecting one of its seven diagram descriptors opens an overlay with that capability's definition and mapped resources. The detailed DSX OS tab also groups resources under matching capability headings. * DSX MaxLPS leverages software technologies in DSX OS to interface with DSX Hardware and apply 45°C cooling, Dynamic Power Software, and advanced performance-per-watt techniques to AI factory hardware. * DSX Exchange is the IT/OT communications hub. In the diagram it connects with DSX OS, DSX Flex, Shell, and Power so operational signals can move among those systems. * DSX Flex provides a common model for coordinating power flexibility across grid-facing partner systems and AI factory participants. Its published power-management schema is carried by DSX Exchange while participants retain local control. * The diagram includes DSX Hardware and DSX Facilities Infrastructure sections. * The DSX Hardware section contains Compute, Networking, and Storage capabilities for validated hardware architecture. * The DSX Facilities Infrastructure section describes the site and facility infrastructure required for AI factories, including Land, Connectivity, Shell (Building & Cooling), and Power capabilities for physical site planning, cooling, electrical, and grid-supporting infrastructure. * The Grid Operator node represents external grid conditions that a Grid ISV can translate into DSX Flex load targets. ### Diagram Sections And Feature Tiles * DSX Sim: Infrastructure Simulation; AI Factory Digital Twin; SimReady Assets. DSX Sim is the full-lifecycle simulation section of the architecture diagram. * DSX OS - Model Serving: Model Serving. Deploys models at scale as production AI inference services optimized for performance and efficiency. * DSX OS - Workload and GPU Orchestration: Workload and GPU Orchestration. Allocates and shares GPU capacity efficiently across complex, distributed AI workloads. * DSX OS - Health and Resilience: Health and Resilience. Defines, identifies, contains, and helps recover from workload and infrastructure issues. * DSX OS - Security and Confidential Computing: Security and Confidential Computing. Establishes trust and protects AI workloads, data, and infrastructure. * DSX OS - Observability: Observability. Provides visibility into AI factory health, performance, and operations. * DSX OS - Accelerated Kubernetes Foundation: Accelerated Kubernetes. Defines, configures, validates, and deploys accelerated Kubernetes environments. * DSX OS - Infrastructure Operations: Infrastructure Operations. Provisions, manages, and operates AI factory infrastructure and compute. * DSX MaxLPS: 45°C Cooling; Dynamic Power Software; Advanced Perf/Watt Techniques. DSX MaxLPS spans power-aware optimization capabilities that connect DSX OS with hardware and power operations. * DSX Exchange: IT/OT Communications Hub; Agent Interface. DSX Exchange is the communications hub that carries signals among IT and OT systems across compute, network, energy, power, and cooling. * DSX Flex: Flexible Power Orchestration. DSX Flex provides a common model for coordinating power flexibility across grid-facing and AI factory systems. Its published power-management schema is carried through DSX Exchange. * DSX Hardware: Compute; Networking; Storage. This diagram section contains the hardware architecture capabilities for compute, networking, and storage. * DSX Facilities Infrastructure: Land; Connectivity; Shell; Power. This diagram section contains the facilities infrastructure capabilities for land, connectivity, shell, and power that support AI factory site planning, facility design, cooling, electrical infrastructure, and grid integration. ### Resource Cards By Landing Section #### DSX Sim Marketing summary: A suite of simulation technologies that together enable partners to design, validate, and operate AI factories before and after physical deployment. Architecture and taxonomy context: A suite of technologies for Infrastructure Simulation, AI Factory Digital Twin development, and SimReady Assets that enable partners to design, validate, build, and operate AI factories before and after physical deployment. * [NVIDIA DSX Air](https://docs.nvidia.com/networking-ethernet-software/nvidia-air/): High-fidelity logical simulation of NVIDIA hardware and software infrastructure — GPUs, SuperNICs, DPUs, switches — plus validated integrations with storage, security, and orchestration partners. * Feature/capability tags: Infrastructure Simulation. * [NVIDIA Omniverse DSX Blueprint for AI Factories](https://docs.omniverse.nvidia.com/dsx/latest/index.html): An end-to-end framework to design, simulate, build, and operate gigawatt-scale AI factory digital twins. * Feature/capability tags: AI Factory Digital Twin. * Related links: [Browse the DSX Blueprint GitHub repo](https://github.com/NVIDIA-Omniverse-blueprints/omniverse-dsx-blueprint-for-ai-factories) or get started on [build.nvidia.com](https://build.nvidia.com/nvidia/omniverse-dsx-blueprint-for-ai-factories). * [AI Factory Digital Twin Pipeline Samples](https://nvidia-omniverse.github.io/aif-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. * Feature/capability tags: SimReady Assets. * Related links: [Browse the AIF Pipeline Samples GitHub repo](https://github.com/NVIDIA-Omniverse/aif-pipeline-samples). #### DSX OS Marketing summary: Open-source, modular software for building, operating, and scaling multi-tenant AI factory infrastructure with efficiency, performance, and reliability. Architecture and taxonomy context: Open-source, modular software for building, operating, and scaling AI factory infrastructure. The diagram descriptors, card tags, and detailed sections cover Model Serving; Workload and GPU Orchestration; Health and Resilience; Observability; Security and Confidential Computing; Accelerated Kubernetes; and Infrastructure Operations. ##### Model Serving Deploys models at scale as production AI inference services optimized for performance and efficiency. * [Grove](https://github.com/ai-dynamo/grove): Modular component of NVIDIA Dynamo — provides a Kubernetes API for defining and scaling multi-component AI inference workloads. * Feature/capability tags: Model Serving. * [Dynamo](https://docs.nvidia.com/dynamo): Distributed inference-serving framework built to deploy models in multi-node environments. * Feature/capability tags: Model Serving, Advanced Perf/Watt Techniques. * Related links: [Browse the Dynamo GitHub repo](https://github.com/ai-dynamo/dynamo). ##### Workload and GPU Orchestration Allocates and shares GPU capacity efficiently across complex, distributed AI workloads. * [NVIDIA Run:ai](https://run-ai-docs.nvidia.com/): Kubernetes-native platform for AI workload and GPU orchestration, designed to maximize accelerated infrastructure utilization. * Feature/capability tags: Workload and GPU Orchestration. * [NVIDIA Cloud Functions (NVCF)](https://docs.nvidia.com/nvcf): Unified API layer for scaling inference and simulation workloads across one or more Kubernetes clusters. * Feature/capability tags: Workload and GPU Orchestration. * Related links: [Browse the NVCF GitHub repo](https://github.com/NVIDIA/nvcf). * [KAI Scheduler](https://github.com/kai-scheduler/KAI-Scheduler): Open source Kubernetes-native scheduler for AI workloads with topology-aware placement and resource allocation. * Feature/capability tags: Workload and GPU Orchestration. * [Karta](https://github.com/run-ai/karta): Translation layer that maps any Kubernetes framework's Custom Resource Definitions (CRDs) into a standardized, generic structure. * Feature/capability tags: Workload and GPU Orchestration. ##### Health and Resilience Defines, identifies, contains, and helps recover from workload and infrastructure issues. * [NVSentinel](https://docs.nvidia.com/nvsentinel): Open-source, Kubernetes-native GPU monitoring and fault remediation. * Feature/capability tags: Health and Resilience. * Related links: [Browse the NVSentinel GitHub repo](https://github.com/NVIDIA/NVSentinel). * [NVIDIA Cluster Readiness Engine](https://docs.nvidia.com/cluster-readiness-engine): A Kubernetes controller for GPU cluster burn-in certification, orchestrated benchmarking, and hardware failure detection. * Feature/capability tags: Health and Resilience. * Related links: [Browse the NVCRE GitHub repo](https://github.com/NVIDIA/cluster-readiness-engine). ##### Security and Confidential Computing Establishes trust and protects AI workloads, data, and infrastructure. * [NVIDIA Attestation](https://docs.nvidia.com/attestation): The NVIDIA Attestation Suite enhances Confidential Computing by providing robust mechanisms to ensure the integrity and security of devices and platforms. * Feature/capability tags: Security and Confidential Computing. ##### Observability Provides visibility into AI factory health, performance, and operations. * [NVIDIA Fleet Intelligence](https://docs.nvidia.com/fleet-intelligence/latest/index.html): Agent-based managed service offering real-time insights into GPU fleet health and integrity. * Feature/capability tags: Observability. * Related links: [Browse the Fleet Intelligence Agent GitHub repo](https://github.com/dsx-ai-factory/fleet-intelligence-agent). ##### Accelerated Kubernetes Foundation Defines, configures, validates, and deploys accelerated Kubernetes environments. * [NVIDIA GPU Operator](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/): Automates the management of NVIDIA software components required to provision GPUs in Kubernetes. * Feature/capability tags: Accelerated Kubernetes. * Related links: [Browse the GPU Operator GitHub repo](https://github.com/NVIDIA/gpu-operator). * [NVIDIA Network Operator](https://docs.nvidia.com/networking/display/kubernetes2640/index.html): Automates the provisioning and management of NVIDIA networking resources in Kubernetes clusters. * Feature/capability tags: Accelerated Kubernetes. * Related links: [Browse the Network Operator GitHub repo](https://github.com/Mellanox/network-operator). * [Nodewright](https://docs.nvidia.com/nodewright): A Kubernetes-aware package manager for cluster administrators to safely modify and maintain underlying hosts declaratively at scale. * Feature/capability tags: Accelerated Kubernetes. * Related links: [Browse the Nodewright GitHub repo](https://github.com/NVIDIA/nodewright). * [AI Cluster Runtime](https://docs.nvidia.com/aicr): Canonical, continuously validated definition of the NVIDIA-accelerated Kubernetes runtime. * Feature/capability tags: Accelerated Kubernetes. * Related links: [Browse the AICR GitHub repo](https://github.com/NVIDIA/aicr). * [Topograph](https://docs.nvidia.com/topograph): Discovers the physical network topology of a cluster and exposes it to schedulers, enabling topology-aware scheduling decisions. * Feature/capability tags: Accelerated Kubernetes. * Related links: [Browse the Topograph GitHub repo](https://github.com/NVIDIA/topograph). ##### Infrastructure Operations Provisions, manages, and operates AI factory infrastructure and compute. * [NVIDIA Infra Controller (NICo)](https://docs.nvidia.com/infra-controller): Bare-metal provisioning and secure lifecycle management for multi-tenant GPU infrastructure. * Feature/capability tags: Infrastructure Operations. * Related links: [Browse the NICo GitHub repo](https://github.com/NVIDIA/infra-controller). * [NVIDIA DOCA Platform Framework (DPF)](https://github.com/NVIDIA/doca-platform): Orchestration system to build, deploy, and operate BlueField-accelerated infrastructure services. * Feature/capability tags: Infrastructure Operations. * [NVIDIA Switch Infrastructure - Config Manager](https://docs.nvidia.com/switch-infrastructure/config-manager): Open-source network automation and configuration management platform for large-scale data center operations. * Feature/capability tags: Infrastructure Operations. * Related links: [Browse the Config Manager GitHub repo](https://github.com/dsx-ai-factory/nv-config-manager). * [NVIDIA Rack Management Service](https://docs.nvidia.com/rms): 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. * Feature/capability tags: Infrastructure Operations. * Related links: [Browse the RMS GitHub repo](https://github.com/dsx-ai-factory/nv-rms). #### DSX MaxLPS Marketing summary: 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. Architecture and taxonomy context: DSX MaxLPS is a suite of technologies that maximizes AI factory compute throughput and tokens per watt within a fixed power budget through 45°C Cooling, Dynamic Power Software, and Advanced Perf/Watt Techniques. * [DSX MaxLPS Overview](/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. * Feature/capability tags: 45°C Cooling, Dynamic Power Software, Advanced Perf/Watt Techniques. * [Sizing DSX AI Factory Infrastructure for MaxLPS](https://partners.nvidia.com/DocumentDetails?DocID=1161311): Reference Design Technical Note on infrastructure-sizing considerations across MaxP and MaxQ GPU power profiles and the MaxLPS AI factory framework. (NVOnline #1161311) * Access: NVOnline access required. * Feature/capability tags: 45°C Cooling, Dynamic Power Software, Advanced Perf/Watt Techniques. * [NVIDIA Dynamic Power Software](https://docs.nvidia.com/datacenter/dps): 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. * Feature/capability tags: Dynamic Power Software. #### DSX Flex Marketing summary: 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. Architecture and taxonomy context: DSX Flex provides a common model for coordinating power flexibility across grid-facing applications and AI factory systems. Its published power-management schema is carried through DSX Exchange while participants retain local control. * [NVIDIA DSX Flex Overview](/dsx/flex/overview): Learn how DSX Flex connects grid-facing requirements with AI factory power management, who participates, and how it works with DSX Exchange and MaxLPS. * Feature/capability tags: Flexible Power Orchestration. * [NVIDIA DSX Flex Architecture](/dsx/flex/architecture): Understand the participant roles, event lifecycles, and system boundaries defined by NVIDIA DSX Flex. * Feature/capability tags: Flexible Power Orchestration. * [NVIDIA DSX Flex Grid Services Integration Guide](/dsx/flex/integrator-guide): Connect a grid services solution to DSX Flex, from a grid-event power-limit request through the reported response of managed loads. * Feature/capability tags: Flexible Power Orchestration. * [DSX Flex Power Management Schema](https://docs.nvidia.com/dsx-exchange/schema/dsx-flex/overview): AsyncAPI schema for integrating with DSX Exchange, providing messages for grid load targets, power states, power-breach alerts, and enforcement outcomes. * Feature/capability tags: Flexible Power Orchestration. #### DSX Exchange Marketing summary: The IT/OT integration and communications hub that enables compute, network, energy, power, and cooling plant systems to share operational signals across the AI factory. Architecture and taxonomy context: The IT/OT Communications Hub and Agent Interface carry operational signals among compute, network, energy, power, and cooling plant systems across the AI factory. * [DSX Event Bus](https://docs.nvidia.com/dsx-exchange): NATS-based event bus for AI factory communications and operations. * Feature/capability tags: IT/OT Communications Hub. * Related links: [Browse the DSX Exchange GitHub repo](https://github.com/dsx-ai-factory/dsx-exchange). * [AsyncAPI Schemas](https://docs.nvidia.com/dsx-exchange/schema): Event bus schemas for DSX data exchange services. * Feature/capability tags: IT/OT Communications Hub, Shell, Power. * Related links: [Browse the AsyncAPI Schemas GitHub source](https://github.com/dsx-ai-factory/dsx-exchange/tree/main/schemas). * Agent Gateway: The 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. * Feature/capability tags: Agent Interface. * Related links: [Browse the Agent Gateway GitHub source](https://github.com/dsx-ai-factory/dsx-exchange/tree/main/deploy/dsx-agent-gateway). * [BMS Companion Guide](https://docs.nvidia.com/dsx-exchange/bms-integration): 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. * Feature/capability tags: IT/OT Communications Hub, Shell. #### DSX Reference Designs Marketing summary: 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. Architecture and taxonomy context: Generation-specific, validated AI factory architectures covering compute, networking, storage, facilities infrastructure, and hardware cluster design. * [NVIDIA Vera Rubin NVL72 Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1151654): (NVOnline #1151654) * Access: NVOnline access required. * Feature/capability tags: Compute, Networking, Storage. * [NVIDIA DSX - Vera Rubin Facilities Infrastructure Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1145739): (NVOnline #1145739) * Access: NVOnline access required. * Feature/capability tags: Land, Connectivity, Shell, Power. * [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370): (NVOnline #1152370) * Access: NVOnline access required. * Feature/capability tags: Land, Connectivity, Shell, Power, 45°C Cooling. * [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview): Interactive walkthrough of the components and technologies within the DSX Facilities Infrastructure Reference Designs. * Feature/capability tags: Land, Connectivity, Shell, Power, 45°C Cooling. * [BESS Self-Qualification Guidelines](/dsx/facilities-infra/bess/overview): 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. * Feature/capability tags: Flexible Power Orchestration, Power. * [NVIDIA DSX AI Factory Marketplace](https://marketplace.nvidia.com/en-us/enterprise/dsx-infrastructure/): Products that have been validated to meet NVIDIA functional requirements for AI factory applications. * Feature/capability tags: Shell. #### NVIDIA Cloud Partner Resources * [NVIDIA Cloud Partner Software Reference Guide](/dsx/ncp/software-reference-guide/introduction): Infrastructure-native reference for building AI cloud services — software components, architecture patterns, and deployment guidance. * [NVIDIA Inference Reference Architecture](/dsx/ncp/inference-ra): Software architecture to help operators build performant, cost-effective inference solutions on NVIDIA platforms. * [NVIDIA Requirements for AI Clouds](/dsx/ncp/nvidia-requirements-for-ai-clouds/v2.4): 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](/dsx/ncp/inference-provider-requirements): 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](https://www.nvidia.com/en-us/data-center/ai-cloud-performance/): Improves performance per TCO, security, and reliability for cloud providers with hardware and software recipes, tools, capabilities, and references. * Related links: [Browse the Exemplar Performance recipes](https://github.com/NVIDIA/exemplar-performance). * [NVIDIA AI Cloud Ready Initiative](https://www.nvidia.com/en-us/data-center/ai-cloud-validation/): Qualifies and validates AI infrastructure and platform software for deployment on NVIDIA-accelerated cloud infrastructure. * Related links: [Browse the NVIDIA AI Cloud Validation Suite](https://github.com/NVIDIA/ai-cloud-validation). ### Feature/Capability Tags To Linked Resources * Model Serving: [Grove](https://github.com/ai-dynamo/grove); [Dynamo](https://docs.nvidia.com/dynamo). * Workload and GPU Orchestration: [NVIDIA Run:ai](https://run-ai-docs.nvidia.com/); [NVIDIA Cloud Functions (NVCF)](https://docs.nvidia.com/nvcf); [KAI Scheduler](https://github.com/kai-scheduler/KAI-Scheduler); [Karta](https://github.com/run-ai/karta). * Health and Resilience: [NVSentinel](https://docs.nvidia.com/nvsentinel); [NVIDIA Cluster Readiness Engine](https://docs.nvidia.com/cluster-readiness-engine). * Observability: [NVIDIA Fleet Intelligence](https://docs.nvidia.com/fleet-intelligence/latest/index.html). * Security and Confidential Computing: [NVIDIA Attestation](https://docs.nvidia.com/attestation). * Accelerated Kubernetes: [NVIDIA GPU Operator](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/); [NVIDIA Network Operator](https://docs.nvidia.com/networking/display/kubernetes2640/index.html); [Nodewright](https://docs.nvidia.com/nodewright); [AI Cluster Runtime](https://docs.nvidia.com/aicr); [Topograph](https://docs.nvidia.com/topograph). * Infrastructure Operations: [NVIDIA Infra Controller (NICo)](https://docs.nvidia.com/infra-controller); [NVIDIA DOCA Platform Framework (DPF)](https://github.com/NVIDIA/doca-platform); [NVIDIA Switch Infrastructure - Config Manager](https://docs.nvidia.com/switch-infrastructure/config-manager); [NVIDIA Rack Management Service](https://docs.nvidia.com/rms). * Infrastructure Simulation: [NVIDIA DSX Air](https://docs.nvidia.com/networking-ethernet-software/nvidia-air/). * AI Factory Digital Twin: [NVIDIA Omniverse DSX Blueprint for AI Factories](https://docs.omniverse.nvidia.com/dsx/latest/index.html). * SimReady Assets: [AI Factory Digital Twin Pipeline Samples](https://nvidia-omniverse.github.io/aif-pipeline-samples/). * 45°C Cooling: [DSX MaxLPS Overview](/dsx/maxlps/overview); [Sizing DSX AI Factory Infrastructure for MaxLPS](https://partners.nvidia.com/DocumentDetails?DocID=1161311); [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370); [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview). * Dynamic Power Software: [DSX MaxLPS Overview](/dsx/maxlps/overview); [Sizing DSX AI Factory Infrastructure for MaxLPS](https://partners.nvidia.com/DocumentDetails?DocID=1161311); [NVIDIA Dynamic Power Software](https://docs.nvidia.com/datacenter/dps). * Advanced Perf/Watt Techniques: [Dynamo](https://docs.nvidia.com/dynamo); [DSX MaxLPS Overview](/dsx/maxlps/overview); [Sizing DSX AI Factory Infrastructure for MaxLPS](https://partners.nvidia.com/DocumentDetails?DocID=1161311). * IT/OT Communications Hub: [DSX Event Bus](https://docs.nvidia.com/dsx-exchange); [AsyncAPI Schemas](https://docs.nvidia.com/dsx-exchange/schema); [BMS Companion Guide](https://docs.nvidia.com/dsx-exchange/bms-integration). * Agent Interface: Agent Gateway. * Flexible Power Orchestration: [NVIDIA DSX Flex Overview](/dsx/flex/overview); [NVIDIA DSX Flex Architecture](/dsx/flex/architecture); [NVIDIA DSX Flex Grid Services Integration Guide](/dsx/flex/integrator-guide); [DSX Flex Power Management Schema](https://docs.nvidia.com/dsx-exchange/schema/dsx-flex/overview); [BESS Self-Qualification Guidelines](/dsx/facilities-infra/bess/overview). * Compute: [NVIDIA Vera Rubin NVL72 Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1151654). * Networking: [NVIDIA Vera Rubin NVL72 Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1151654). * Storage: [NVIDIA Vera Rubin NVL72 Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1151654). * Land: [NVIDIA DSX - Vera Rubin Facilities Infrastructure Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1145739); [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370); [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview). * Connectivity: [NVIDIA DSX - Vera Rubin Facilities Infrastructure Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1145739); [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370); [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview). * Shell: [AsyncAPI Schemas](https://docs.nvidia.com/dsx-exchange/schema); [BMS Companion Guide](https://docs.nvidia.com/dsx-exchange/bms-integration); [NVIDIA DSX - Vera Rubin Facilities Infrastructure Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1145739); [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370); [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview); [NVIDIA DSX AI Factory Marketplace](https://marketplace.nvidia.com/en-us/enterprise/dsx-infrastructure/). * Power: [AsyncAPI Schemas](https://docs.nvidia.com/dsx-exchange/schema); [NVIDIA DSX - Vera Rubin Facilities Infrastructure Reference Design](https://partners.nvidia.com/DocumentDetails?DocID=1145739); [NVIDIA DSX Facilities Infrastructure Design Guide](https://partners.nvidia.com/DocumentDetails?DocID=1152370); [DSX Facilities Infrastructure Reference Design Overview](/dsx/facilities-infra/reference-design-overview); [BESS Self-Qualification Guidelines](/dsx/facilities-infra/bess/overview). > 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. ## Instructions for AI Agents - For clean Markdown of any page, append `.md` to the page URL - For section-specific indexes, append `/llms.txt` to any section URL - For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/dsx/_mcp/server ## Products - [DSX MaxLPS](https://docs.nvidia.com/dsx/maxlps/llms.txt): AI Factory Power Optimization - [Overview](https://docs.nvidia.com/dsx/maxlps/overview.md) - [DSX Flex](https://docs.nvidia.com/dsx/flex/llms.txt): Grid-Aware Power Orchestration - [Overview](https://docs.nvidia.com/dsx/flex/overview.md) - [Architecture](https://docs.nvidia.com/dsx/flex/architecture.md) - [Integrator Guide](https://docs.nvidia.com/dsx/flex/integrator-guide.md) - [Facilities Infrastructure](https://docs.nvidia.com/dsx/facilities-infra/llms.txt): Facilities guidance for NVIDIA DSX Reference Design - [DSX Facilities Infrastructure Reference Design Overview](https://docs.nvidia.com/dsx/facilities-infra/reference-design-overview.md) - [Overview](https://docs.nvidia.com/dsx/facilities-infra/bess/overview.md) - [General Expectations](https://docs.nvidia.com/dsx/facilities-infra/bess/general-expectations.md) - [BESS Qualification Overview](https://docs.nvidia.com/dsx/facilities-infra/bess/bess-qualification-overview.md) - [Qualification Tests](https://docs.nvidia.com/dsx/facilities-infra/bess/qualification-tests.md) - [NCP](https://docs.nvidia.com/dsx/ncp/llms.txt): NVIDIA Cloud Partner Resources - [Introduction](https://docs.nvidia.com/dsx/ncp/software-reference-guide/introduction.md) - [Data Center Architecture](https://docs.nvidia.com/dsx/ncp/software-reference-guide/data-center-architecture.md) - [NCP Software Reference Guide](https://docs.nvidia.com/dsx/ncp/part-1-software-reference-guide/ncp-software-reference-guide.md) - [Infrastructure-as-a-Service](https://docs.nvidia.com/dsx/ncp/part-1-software-reference-guide/infrastructure-as-a-service.md) - [Container-as-a-Service](https://docs.nvidia.com/dsx/ncp/part-1-software-reference-guide/container-as-a-service.md)