A user benchmarked their dual RTX 4090 setup to determine the optimal number of AI agents that can run concurrently. The tests revealed that while the system could technically run up to nine agents, performance significantly degraded after five agents, especially with larger models and limited system RAM bandwidth. The user found that smaller, more efficient models offered better per-agent response times, making them more practical for agent-based workflows despite potential minor accuracy differences. AI
IMPACT Provides practical insights into hardware limitations and optimal configurations for running multiple AI agents locally.
RANK_REASON User benchmark and analysis of hardware performance for running multiple AI agents.
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