3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal

Short summary

Engineer parallel LLM inference on a single 8GB GPU using C++ layer multiplexing and admission control. Run three different models simultaneously on constrained hardware, reducing VRAM pressure and infrastructure costs.

• •Parallelize three different LLMs on an 8GB GPU using C++ multiplexing
• •Admission control prevents VRAM overflow and inference bottlenecks
• •Direct application for cost-constrained inference, agents, and bootstrapped AI products

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