NVIDIA DSX Documentation

NVIDIA DSX unifies design, simulation, operations, and ecosystem technologies to help build AI factories optimized for tokens per watt.
DSX Sim
A suite of simulation technologies that together enable partners to design, validate, and operate AI factories before and after physical deployment.
High-fidelity logical simulation of NVIDIA hardware and software infrastructure — GPUs, SuperNICs, DPUs, switches — plus validated integrations with storage, security, and orchestration partners.
Browse the DSX Blueprint GitHub repo or get started on build.nvidia.com
Browse the AIF Pipeline Samples GitHub repo
DSX OS
The operating layer within the broader DSX portfolio — open source, modular software for lifecycle management, runtime consistency, fleet health, and multi-tenant AI factory operations.
Browse the NVCF GitHub repo
Scalable Kubernetes scheduler optimized for GPU resource allocation.
Modular component of NVIDIA Dynamo — provides a Kubernetes API for defining and scaling multi-component AI inference workloads.
Browse the Dynamo GitHub repo
Browse the Fleet Intelligence Agent GitHub repo
Browse the NICo GitHub repo
Browse the AICR GitHub repo
Browse the NVSentinel GitHub repo
Orchestration system to build, deploy, and operate BlueField-accelerated infrastructure services.
DSX Reference Design
Generation-specific, validated AI factory architectures covering compute, networking, storage, facilities infrastructure, and hardware cluster design.
(NVIDIA Partner Network membership required. Contact your NVIDIA representative for details.)Resources
Infrastructure-native reference for building AI cloud services — software components, architecture patterns, and deployment guidance.
Software architecture to help operators build performant, cost-effective inference solutions on NVIDIA platforms.
Primary requirements document covering the full stack of AI cloud infrastructure services — SLAs, security, networking, storage, and operations.
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.
Products that have been validated to meet NVIDIA functional requirements for AI factory applications.
Browse the NVIDIA Performance Benchmarking recipes
Browse the ISV NCP Validation Suite