# Federal Agencies Prioritize AI Infrastructure Strategy

Federal agencies are adopting a workload-first AI infrastructure strategy aimed at scaling secure and efficient AI deployments across diverse mission environments by 2030. Dell Technologies and NVIDIA provide a platform and reference design to support repeatable, governed AI implementations tailored to federal workloads, addressing key challenges such as funding constraints, limited expertise, and integration with legacy systems.

- This strategy signals increased federal demand for AI infrastructure solutions that are adaptable to varied mission needs and compliant with governance requirements.
- Procurement professionals should anticipate opportunities to supply AI platforms and services that emphasize scalability, security, and workload-specific customization.
- Contractors with expertise in AI deployment frameworks, legacy system integration, and federal compliance standards may find competitive advantages.
- Agencies and vendors alike must consider funding cycles and workforce capabilities when planning AI infrastructure investments aligned with the 2030 timeline.

**Jurisdictions:** federal
**Industries:** Information Technology
**Topics:** Artificial Intelligence
**Published:** September 28, 2026

### Government Entities
- Federal Chief AI Officers (CAIOs)

### Vendors
- Dell Technologies (prime contractor)
- NVIDIA (prime contractor)

### Sources
- [A Workload-First AI Infrastructure Strategy for Federal Agencies – MeriTalk](https://www.meritalk.com/a-workload-first-ai-infrastructure-strategy-for-federal-agencies) - MeriTalk