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NVIDIA Launches DSX Air for AI Infrastructure Simulation and Validation
· releasefeatureplatformapi · developer.nvidia.com ↗

Overview

NVIDIA DSX Air is a cloud-based simulation platform that addresses a critical gap in AI infrastructure deployment. Rather than purchasing and deploying hardware without validation, organizations can now simulate their entire AI factory stack—including compute, networking, storage, and security systems—to identify integration issues before they occur in production.

Key Features

Simulation & State Management

  • Simulation Checkpoints: Users can save snapshots of simulation states, pause work, and resume without losing configuration or data. Checkpoints can be marked as favorites to prevent automatic deletion, enabling iterative testing and experimentation.
  • Simulation History: Detailed event logging tracks the full lifecycle of simulations, including creation, state changes, checkpoint operations, and errors. Users can filter by keyword for quick troubleshooting.

Enterprise Capabilities

  • Guaranteed Capacity: Subscription tiers provide unlimited resource access for large-scale, long-lived simulations without artificial constraints.
  • Unified Account Management: Integration with NVIDIA GPU Cloud (NGC) enables role-based access controls, team structures, and centralized resource management for enterprises.

Technical Capabilities

DSX Air enables simulation of complete compute fabrics built with NVIDIA Spectrum-X Ethernet, NVLink, and next-generation Spectrum-6 Ethernet switches. The platform supports simulation of infrastructure for the NVIDIA Vera Rubin platform, allowing teams to validate designs before deployment.

DevOps Integration: The platform provides Python SDKs and REST APIs for programmatic simulation instantiation within CI/CD pipelines. This enables continuous verification of software and configuration updates, Git integration, and automated deployment testing—ensuring resilient delivery and optimized resource utilization.

Getting Started

DSX Air includes guided demos and training environments featuring NVIDIA tools like Cumulus Linux, Run:ai, Base, and Command Manager. Organizations can replicate production environments through the platform's shared simulation capabilities.