llama.cpp benchmarks jump on RTX 6000 Server

This is the kind of infra uplift that matters more than a flashy model swap: the same box is simply doing more useful work per second.

• –Prompt processing improved the most, with pp512 up 45% and 8K-65K prompt throughput up 59-69%, pointing to kernel and tensor-core path gains.
• –Decode throughput also moved meaningfully, but less dramatically, rising 28-35% at depth while keeping the slowdown curve roughly intact.
• –Concurrency-2 per-request throughput jumped 60%, which suggests batching and slot scheduling are better than before, not just single-stream latency wins.
• –TTFT fell 23-32% at long context lengths, so the new build is materially better for interactive use, not just benchmark charts.
• –Speculative decode is present in the build, but the reported draft-model test was net-negative, so the practical win here is the core inference path.