How I Run a 50-Agent AI Workforce on a Single 6GB GPU

Short summary

Run 50 local AI agents on a single 6GB GPU using serialized queue locking—only one heavy model in VRAM at a time. Schedule batch work throughout the day via cron; an eviction monitor frees memory when models idle, and a resource governor prevents thrashing. A model router abstracts hardware differences, so agents ask for task-appropriate models rather than hardcoding, making code portable across machines.

• •Serialize GPU access via file-based queue lock—only one heavy model loads at a time
• •Design for batch, not latency: cron-scheduled agents throughout the day avoid contention
• •Eviction monitor, resource governor, and model router handle memory and hardware abstraction

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