The Cloud Isn't Enough: Why Federal AI Demands Its Own Factory
Federal agencies are under pressure to scale AI for mission-critical needs, but cloud environments don’t always meet requirements for sensitive workloads due to compliance, data sovereignty, and cost concerns.
Join leaders from Leidos, NVIDIA, Dell Technologies, and Sterling to explore the AI Factory model—an on-premises approach that gives agencies greater control over data, costs, and AI deployment. Built on NVIDIA accelerated computing and Dell infrastructure, and deployed by Sterling engineers, it delivers enterprise-grade AI performance while achieving up to 63% cost savings over four years and ROI in as little as 18 months.
This on-demand session highlights why on-prem AI is gaining momentum, how the architecture works, and what it takes to move from pilot to production in secure federal environments.
Federal agencies are under pressure to scale AI for mission-critical needs, but cloud environments don’t always meet requirements for sensitive workloads due to compliance, data sovereignty, and cost concerns.
Join leaders from Leidos, NVIDIA, Dell Technologies, and Sterling to explore the AI Factory model—an on-premises approach that gives agencies greater control over data, costs, and AI deployment. Built on NVIDIA accelerated computing and Dell infrastructure, and deployed by Sterling engineers, it delivers enterprise-grade AI performance while achieving up to 63% cost savings over four years and ROI in as little as 18 months.
This on-demand session highlights why on-prem AI is gaining momentum, how the architecture works, and what it takes to move from pilot to production in secure federal environments.
