Federal agencies are under growing pressure to deliver AI at mission scale. While cloud has played an important role in accelerating early adoption, it's not always the right fit for every workload. For the most sensitive, high-stakes missions, compliance friction, data sovereignty concerns, and unpredictable costs can slow momentum when agencies can least afford it.

There's a smarter path forward.

Join technology leaders from Leidos, NVIDIA, Dell Technologies, and Sterling to explore how the AI Factory model is giving federal agencies full control over their data, their costs, and their AI roadmap, purpose-built for the environments where it matters most. What's standing between your agency's AI pilots and full production? More often than not, it comes down to infrastructure. The Leidos AI Factory changes that equation. Powered by NVIDIA's accelerated computing platform, built on Dell Technologies infrastructure, and deployed by Sterling's security-cleared engineers, it delivers enterprise-grade AI performance inside your own data center. Agencies can save up to 63% compared to cloud alternatives over four years and break even on their investment in as little as 18 months, without sacrificing security, compliance, or compute power. In this webinar, you’ll hear directly from the architects and operators of a real, deployed federal AI Factory.

You’ll leave with a clear understanding of:

• Why on-premises AI infrastructure is the right choice for sensitive federal workloads
• How the AI Factory model delivers up to 63% cost savings vs. cloud over four years
• What the architecture looks like from NVIDIA H200 GPUs to Dell PowerEdge infrastructure What it takes to deploy, train, and operationalize an AI Factory inside your agency