A100 40GB PCIe vLLM: Qwen/Qwen2.5-14B-Instruct aggregate output throughput, 50 concurrent

Database Mart hosted-GPU report, page footer dated 10/07/2026. Engine is vLLM built from github.com/vllm-project/vllm with no release tag or commit printed, so the engine version is unpinned. Weights are the Hugging Face checkpoint at the precision the table labels 'Quantization 16' (bf16/fp16 not distinguished); format_id is null because data/quantization/ has no fp16/bf16 record. Single GPU, tensor parallel 1. Input length fixed at 100 tokens, output length fixed at 600 tokens. The 'Output (tokens/s)' column is aggregate generated tokens across the concurrent requests divided by benchmark duration, NOT a per-request decode rate. Median TTFT is the median time to first token under that same concurrency. Third-party measurement by the GPU host; confidence capped because the harness and the vLLM commit are unpublished. Card: A100 40 GB PCIe (6,912 CUDA cores, 40 GB HBM2), not the SXM4 or 80 GB cards. 50 requests, input length 100, output length 600, benchmark duration 27.52 s, total input tokens 5000, total generated tokens 11567. AGGREGATE across the concurrent requests, not a per-request decode rate.

Output (tokens/s) column. 14B row required --max-model-len 4096 to load.