| license: cc-by-4.0 | |
| pretty_name: "TokenWatt inference reports" | |
| tags: [llm-inference, vllm, benchmark, h100, goodput, tokens-per-joule] | |
| # TokenWatt inference reports | |
| Published TokenWatt Bench reports, as shown on [tokenwatt.io/reports](https://www.tokenwatt.io/reports.html). Each report gives SLO goodput (the highest request rate meeting p99 TTFT and TPOT targets), tokens per joule, memory-bandwidth utilization and an accuracy gate for each configuration measured. Method: [methodology](https://www.tokenwatt.io/methodology.html). | |
| - `h100-qwen3-30b-a3b-fp8-vllm-0-31.json` — H100 SXM, Qwen3-30B-A3B-FP8, vLLM 0.31.0, full mode: 3,996 output tok/s at 9.5 req/s within SLO | |
| - `lab-h100-qwen3-30b-a3b-kv-cache.json` — BF16 vs FP8 KV cache on the same setup ([Lab notes #1](https://www.tokenwatt.io/blog/lab-notes-1-h100-fp8-kv-cache.html)) | |