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Execute guarded, reproducible load tests against a ramjet GPU inference deployment, especially the node06 8x RTX PRO 6000 stack. Use when asked to benchmark TPS, TTFT, TPOT, concurrency, long context, cache locality, agent/tool correctness, full-box capacity,…
Deploy or upgrade ramjet and OpenAI-compatible GPU engines on a Linux node with Docker Compose. Use for first-time node setup, creating a Compose stack, validating GPU/container prerequisites, promoting an immutable image, performing an LB-only rollout, or…
Measure and tune a ramjet GPU inference node using controlled, reproducible experiments. Use for GPU/NUMA placement, vLLM or DSpark scheduler settings, routing weights, cache locality, throughput, latency, concurrency, context-size, or image A/B optimization.
Diagnose a ramjet GPU inference node by checking NVIDIA GPUs, Docker Compose services, OpenAI endpoints, router health, Prometheus metrics, logs, networking, and basic synthetic requests. Use for outages, degraded health, low throughput, cache misses, stuck…
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