Architecting AI for the Tactical Edge

During this session, Broadcom will discuss: 

• Commanding AI Economics: Slash infrastructure costs and normalize power draw through advanced compute consolidation, memory tiering, and software-defined networking.
• Model Choice at Wartime Speed: Give elite units the agility to deploy commercial and open-source AI models privately within 30 days of public release, maintaining innovation overmatch against near-peer adversaries.
• Agentic AI for Operator Workflows: Reduce cognitive load. Deploy autonomous agents that securely chain complex mission tasks—from multi-source intel fusion to rapid logistics—entirely within an air-gapped perimeter.
• Optimizing SWaP at the Edge: Minimize your hardware footprint. Maximize expensive AI hardware via advanced compute consolidation and memory tiering to normalize power draw and reduce the logistical burden at the tactical edge.
• Unlocking Tactical Intelligence: Deploy on-premises AI models and secure data services to query vast, classified archives (past mission reports, drone feeds, sensor logs) in real-time, directly on secure forward-deployed networks.