Server manufacturers, which serve as the primary channel for enterprise inference, can now model and validate their reference architectures without building expensive physical labs. Enterprise AI environments rarely fit rigid designs, and customers often require bespoke configurations. With DSX Air, manufacturers can create digital twins tailored to specific customer needs, test their software stacks and deliver validated solutions without touching hardware.
Orchestration vendors — critical for enterprises and tier‑2 clouds that need turnkey AI services — gain the ability to test at scale. At GTC, NVIDIA showcased a multi‑tenant RTX PRO Server environment running entirely in simulation, with Netris providing network orchestration, Rafay handling host orchestration and NVIDIA Run:ai optimizing GPU allocation. These partners can now validate complex workflows under realistic conditions without deploying physical clusters.
The simulation environment is also valuable for validating the data platforms that power AI factories. Instead of requiring large physical clusters, DSX Air allows ecosystem partners to model complete AI workflows alongside NVIDIA compute, networking and software infrastructure. At GTC, the booth demonstration features a video retrieval-augmented generation workload running on the VAST AI Operating System, including a fully operational VAST cluster with DataEngine nodes and the video search and summarization front end. DataEngine triggers and functions process and index video content through an end-to-end pipeline, illustrating how AI applications can be designed, tested and validated inside the DGX Air simulation before deploying physical infrastructure.
Security vendors — facing some of the most demanding validation requirements — can now test multi‑tenant policies, DPU‑accelerated isolation and threat detection in a realistic environment. The GTC demo includes Check Point ’s distributed firewall running on simulated BlueField DPUs, TrendAI Vision One for threat detection and Keysight AI Inference Builder, an emulation and analytics platform designed to validate inference-optimized AI infrastructure at scale. Security partners can identify vulnerabilities and validate policies in a customer’s digital twin long before production goes live.
Across the ecosystem, partners emphasized the same point: DSX Air gives them a complete, scalable and cost‑effective way to validate their solutions with NVIDIA infrastructure and with each other.
NVIDIA DSX Air isn’t just a deployment accelerator — it introduces a new operational model for AI factories.
On the first day, customers build their intended production environment entirely in simulation. They configure networking, compute, storage, orchestration, security and scheduling exactly as they plan to deploy them. They validate that everything works together, identify issues early and ensure the environment behaves as expected.
Next, they can deploy with confidence. Because the environment has already been tested end to end, the probability of a smooth bring‑up increases dramatically. Time to first token shrinks, and teams can focus on running workloads rather than troubleshooting infrastructure.
Afterward and beyond, DSX Air becomes a safe environment for change management. Long‑lived simulations allow customers to test upgrades, rehearse maintenance windows, validate patches and predict operational impact before touching production. Only after changes succeed in simulation are they applied to the live environment, maximizing uptime and ensuring infrastructure availability.
This lifecycle approach reflects how modern AI factories can operate as they scale.
GTC showed that simulation is no longer a future concept — it is the new backbone of AI infrastructure deployment and operations.
NVIDIA DSX Air enables customers and partners to simulate everything in one place, accelerating deployment, reducing risk and ensuring day‑one performance at scale.
Siam.AI, Thailand’s largest AI cloud provider, has accelerated its infrastructure deployment with NVIDIA DSX Air. Using simulation, Siam.AI embraced NVIDIA best practices well ahead of schedule, ensuring day-one operational expertise and validating their architecture in a virtual environment before the physical hardware even arrived.
Similarly, Hydra Host is using DSX Air to accelerate development of Brokkr, its AI factory operating system for bare-metal GPU provisioning that’s used by dozens of GPU deployments globally. By simulating full-stack environments in DSX Air before deploying to production, Hydra Host can validate Brokkr’s automation and orchestration workflows across diverse networking and hardware configurations at scale. This simulation-first approach lets Hydra Host ship validated infrastructure faster to customers worldwide while minimizing risk to live systems as global AI demand grows.
As AI factories grow in size and complexity, the ability to validate full‑stack environments before hardware arrives will define the pace of innovation. NVIDIA DSX Air delivers that capability today, giving organizations the fastest possible path to first token and a more reliable way to operate AI infrastructure over time.
Hear from NVIDIA CEO Jensen Huang live on stage at SAP Center. Arrive early to catch the GTC Live 2026 pregame show for an insightful discussion on the latest in AI, accelerated computing and transformative tech with industry leaders.
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/dsx-air-simulation-ai-factories/#primary
- https://blogs.nvidia.com/blog/author/scottmartin/
- https://blogs.nvidia.com/blog/dsx-air-simulation-ai-factories/#disqus_thread
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