- Today
- Holidays
- Birthdays
- Reminders
- Cities
- Atlanta
- Austin
- Baltimore
- Berwyn
- Beverly Hills
- Birmingham
- Boston
- Brooklyn
- Buffalo
- Charlotte
- Chicago
- Cincinnati
- Cleveland
- Columbus
- Dallas
- Denver
- Detroit
- Fort Worth
- Houston
- Indianapolis
- Knoxville
- Las Vegas
- Los Angeles
- Louisville
- Madison
- Memphis
- Miami
- Milwaukee
- Minneapolis
- Nashville
- New Orleans
- New York
- Omaha
- Orlando
- Philadelphia
- Phoenix
- Pittsburgh
- Portland
- Raleigh
- Richmond
- Rutherford
- Sacramento
- Salt Lake City
- San Antonio
- San Diego
- San Francisco
- San Jose
- Seattle
- Tampa
- Tucson
- Washington
Armada Leverages NVIDIA DSX Air to Accelerate AI Factory Software Development
The company will use NVIDIA's simulation platform to streamline development, proof-of-concept, and production workflows for its Bridge GPU management software.
Mar. 17, 2026 at 2:12am by Ben Kaplan
Got story updates? Submit your updates here. ›
Armada, a full-stack edge infrastructure company, announced plans to leverage NVIDIA DSX Air to streamline development, proof-of-concept (PoC), and production workflows for its Bridge GPU management software. The company will use NVIDIA's networking simulation technologies to simulate secure, isolated multi-tenancy across NVIDIA Spectrum-X Ethernet networking environments for internal development and customer PoCs.
Why it matters
High-fidelity simulation allows Armada to validate its Bridge software against real-world AI factory scenarios early and at scale, complementing physical hardware testing. This accelerates releases and improves production resiliency for Armada's customers, who require tools to design, validate, and optimize infrastructure before deployment.
The details
By leveraging DSX Air, Armada can simulate large-scale AI factory deployments and create multi-tenant environments without tying up physical clusters. This enables faster testing against advanced GPU, switch, adapter, and NVLink configurations and validation at scale before final testing on production-grade hardware. Armada can also simulate a large number of distributed edge sites and intelligently orchestrate applications across them, unlocking additional value from DSX Air.
- Armada has been working with NVIDIA networking simulation technologies since late 2024.
- Armada announced plans to leverage NVIDIA DSX Air on March 16, 2026.
The players
Armada
A full-stack edge infrastructure company delivering compute, storage, connectivity, and sovereign AI/ML capabilities to industrial environments.
NVIDIA
A technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units for the mobile computing and automotive market.
Pradeep Nair
Founding CTO of Armada.
Amit Katz
VP of Networking at NVIDIA.
What they’re saying
“High-fidelity simulation allows us to validate Armada Bridge against real-world AI factory scenarios early and at scale — complementing our physical hardware testing.”
— Pradeep Nair, Founding CTO of Armada
“AI factory operators require tools that allow them to design, validate, and optimize infrastructure before deployment. By leveraging DSX Air, Armada will enable customers to simulate large-scale GPU and networking environments with greater confidence — accelerating time to value while reducing operational risk.”
— Amit Katz, VP of Networking at NVIDIA
What’s next
Armada plans to model its modular data center, Galleon, within DSX Air, allowing users to test its data center infrastructure management capabilities using a high-fidelity digital twin.
The takeaway
Armada's use of NVIDIA's DSX Air simulation platform will enable its customers to validate new configurations, simulate tenant onboarding, model capacity expansion, detect configuration drift, and identify potential failure scenarios before deploying changes to their production AI factory environments, reducing costly misconfigurations and downtime.
San Francisco top stories
San Francisco events
Mar. 17, 2026
Joe Klocek & FriendsMar. 17, 2026
Clinton Kane - 4350 Live with Julian Ray




