Liqid

Federal IT teams face a fundamental mismatch: AI workloads evolve rapidly, while server procurement cycles span years. As GPU technology advances and model requirements grow, agencies often need costly hardware upgrades while also contending with datacenter power and rack space limitations.

This webinar explores how GPU pooling allows federal agencies to disaggregate compute, GPU and memory resources and dynamic allocation, extracting more throughput from existing power envelopes and floor space, without forklift upgrades.

Attendees Will Learn How To:

• Leverage GPU pooling enables dynamic allocation of compute, GPU and memory resources
• Support faster mission readiness while reducing long-term capital expenditures.
• Scale AI infrastructure within federal datacenter power and space constraints.
• Maximize existing infrastructure capacity without costly forklift upgrades.