inference/research
verifiedhigh · 0.85updated 2026-10-03

H100 reference column for MI300X vs H100, vLLM/TRT-LLM, Llama 3.1 70B FP8 TP8 batch 1: end-to-end time-to-last-token

20923 ms (time to last token, end-to-end, batch 1, per request)

Fields

id
benchmarks/mi300x-vs-h100-vllm-llama31-70b-fp8-tp8-ttlt-batch1-h100
Metric
itl_ms
Value
20,923
Unit
ms (time to last token, end-to-end, batch 1, per request)
Model
Llama 3.1 70B
Methodology
Per-request end-to-end TTLT at batch size 1, TP=8, Llama 3.1 70B FP8, input 128 / output 2048, 8x H100 SXM on Xeon, trtllm-bench trtllm 0.16.0. OMITTED BY SOURCE: KV-cache dtype, engine flags, batch scheduler config, CUDA version.
Measured by
vendor
Reproducible
no
notes
DIRECTLY COMPARABLE to mi300x-vllm-llama31-70b-fp8-tp8-ttlt-batch1. NVIDIA data measured by AMD; engine-mismatched against the MI300X side. Value is higher (worse) than MI300X's 19089 ms, i.e. H100 is 9.6% slower at batch 1 here. INTERCONNECT IDS FILLED 2026-10-04: interconnect_ids was empty; it now carries the interconnect list of the accelerator record(s) this run names (nvidia-h100-sxm). BASIS AND ITS LIMITS, stated because this field is easy to over-read: it records the FABRIC PRESENT IN THE HARDWARE CONFIGURATION, which is how every previously-filled record in this repo reads it, not traffic measured over that fabric. The clearest evidence for that convention is that single-GPU records already carry a scale-up fabric here - trtllm-llama31-8b-fp8-h100-1k1k-tps is 1x H100 at TP=1 and carries ['nvlink-4','nvswitch-4'] - and that host-link-only records carry a PCIe value (arc-pro-b70-mlperf-v6-1-llama2-70b-offline-tokens carries ['pcie-gen5'] on 4x Arc Pro B70, which has no GPU-to-GPU fabric at all). So a value here does NOT mean the interconnect was exercised by this particular workload, and must not be cited as evidence that it was. Whether the run actually crossed that fabric is a question about TP/EP/PP size, which this repo records in methodology, not here. NOT INVENTED: nothing was filled where the accelerator record itself carries no interconnect, so this field stays empty for any part whose own record has none - which is the honest state for a single-socket Apple sOC and for parts whose vendor publishes no host interface.

Notes

DIRECTLY COMPARABLE to mi300x-vllm-llama31-70b-fp8-tp8-ttlt-batch1. NVIDIA data measured by AMD; engine-mismatched against the MI300X side. Value is higher (worse) than MI300X's 19089 ms, i.e. H100 is 9.6% slower at batch 1 here. INTERCONNECT IDS FILLED 2026-10-04: interconnect_ids was empty; it now carries the interconnect list of the accelerator record(s) this run names (nvidia-h100-sxm). BASIS AND ITS LIMITS, stated because this field is easy to over-read: it records the FABRIC PRESENT IN THE HARDWARE CONFIGURATION, which is how every previously-filled record in this repo reads it, not traffic measured over that fabric. The clearest evidence for that convention is that single-GPU records already carry a scale-up fabric here - trtllm-llama31-8b-fp8-h100-1k1k-tps is 1x H100 at TP=1 and carries ['nvlink-4','nvswitch-4'] - and that host-link-only records carry a PCIe value (arc-pro-b70-mlperf-v6-1-llama2-70b-offline-tokens carries ['pcie-gen5'] on 4x Arc Pro B70, which has no GPU-to-GPU fabric at all). So a value here does NOT mean the interconnect was exercised by this particular workload, and must not be cited as evidence that it was. Whether the run actually crossed that fabric is a question about TP/EP/PP size, which this repo records in methodology, not here. NOT INVENTED: nothing was filled where the accelerator record itself carries no interconnect, so this field stays empty for any part whose own record has none - which is the honest state for a single-socket Apple sOC and for parts whose vendor publishes no host interface.

Cross-references