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Krai HPE Cray XD670 (8x H200-SXM-141GB, vLLM)

Submitted by Kraion 2026-11-10 Published on 2026-11-10

Result statement

Krai ran deepseek-v4_1-flash on HPE Cray XD670 (8x H200-SXM-141GB, vLLM) and achieved a provisional 12,696.3 tokens/second System TPS at 2,038.1ms TTFT P90 in the Standardized division of the Available category on November 10, 2026. Pending MLCommons Association verification, results are subject to change pending peer review. .

[1] MLPerf Endpoints v1.0 deepseek-v4_1-flash, published November 10, 2026; retrieved from endpoints.mlcommons.org on November 13, 2026. Result —, run 7: concurrency = 1,024 queries, TTFT P90 = 2,038.1ms, System TPS = 12,696.3 tokens/sec, interactivity = 12.4 tokens/sec per user and total provisioned system power = 9.73 kW (MLC Estimated Power). The MLPerf name and logo are registered and unregistered trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

Submission Info
Krai
647657c4-6b54-4085-aaae-105b273580bf
Submission Status REVIEW_PENDING
2026-11-10
2026-11-10
Version v1.0
Division Standardized
Deployment Client on Premises
Model
Model Name deepseek-v4_1-flash
Division Standardized
Model Precision —
Model Link —
Calibration Link —
Model Notes —
Datasets
Dataset Name agentic_combined
Dataset Type performance
Average Input Tokens —
Dataset Link —

System TPS vs. Tokens/s per User

4.0k6.0k8.0k10k12kSystem TPS20406080100Tokens/s per User

System TPS vs. Concurrency

4.0k6.0k8.0k10k12kSystem TPS02004006008001,000# of queries

Time to First Token P90 vs. Concurrency

5001.0k1.5k2.0kTTFT P90 (ms)02004006008001,000# of queries

Tokens/s per User vs. Concurrency

20406080100Tokens/s per User02004006008001,000# of queries
SUT Summary
Intel
HPE Cray XD670 (8x H200-SXM-141GB, vLLM)
Available
System Category Datacenter · —
8x H200-SXM-141GB
1
1
Max Supported Concurrency 1,024
Node Type ID 0
Node Count 1
Software
Red Hat
Framework vLLM v0.32.0 (5df63a72) with a custom patch (shared src: src/benchmarking/docker/patches/v0.32.0)
vLLM v0.32.0 (5df63a72) with a custom patch (shared src: src/benchmarking/docker/patches/v0.32.0)
CUDA 13.0, PyTorch 2.13.0, NCCL 2.30.7, FlashInfer 0.7.0, FlashMLA, DeepGEMM; Humming MoE GEMM (indexed, FP8 E4M3 activations)
NVIDIA 595.58.03 (CUDA 13.2)
Link to Container https://hub.docker.com/r/wongcannan/vllm-v0.32.0-patched-nsys-withsrc (v1.0@sha256:e554ced380fe37cc4fa9be6f6ffa7a0a8f79f675f0e21f1ecb8e1b095a8e9adf), https://hub.docker.com/r/wongcannan/mlperf-endpoints (v1.1@sha256:514e6360b981f2f59300a796f84585edaa4c6401dad352b062d4038dd9b32ea4), https://hub.docker.com/_/nginx (1.27-alpine)
Operating System Red Hat Enterprise Linux 9.4 (kernel 5.14.0-427.13.1.el9_4.x86_64)
Filesystem XFS, Lustre (HPE Cray ClusterStor E1000)
Other Software Docker 27.4.1, NVIDIA Container Toolkit 1.17.3, MLPerf Endpoints client d3c57f2, nginx 1.27.5
Software Notes Powered by Krai/Gentic, next-gen automation
Hardware

Processor

Intel(R) Xeon(R) Platinum 8562Y+
2
32
VCPUs Per Processor 64

Accelerator

—
0
—
—
—
—

Host / Storage

2 TiB
Memory Configuration 32x HPE Cray Supercomputing XD 64GB (1x64GB) Dual Rank x4 DDR5-5600 Registered Standard Memory
Storage Capacity 15.36 TB SSD (8x 1.92 TB)
Storage Type HPE Cray XD670 1.92 TB NVMe Read Intensive SFF U.3 7450 SSD

Networking

8x NVIDIA ConnectX-7 400Gb InfiniBand NDR, 2x dual-port NVIDIA ConnectX-6 Ethernet (2x 100Gb bonded, 2x 40Gb), 1x Intel X710 10GBASE-T
InfiniBand, Ethernet
Network Topology —

Other

Other Hardware —
Cooling Air-cooled
Hardware Notes 6x Delta Titanium 3,600-Watt power supplies with N+2 redundancy; GPUs at the default 700 W power limit.
Run Data
Field NameRun 1Run 2Run 3Run 4Run 5Run 6Run 7
Run Date11/10/202611/10/202611/10/202611/10/202611/10/202611/10/202611/10/2026
Concurrency3240641282565121,024
System Tokens/Second3,307.93,780.64,599.05,588.77,653.710,076.912,696.3
Tokens/Second per User103.494.571.943.729.919.712.4
TTFT P90 (ms)251.2264.6307.3694.4951.61330.02038.1
Utilization26.1%29.8%36.2%44.0%60.3%79.4%100.0%
Configuration Summarymultireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_32__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c32multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_40__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c40multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_64__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c64multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_128__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c128multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_256__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c256multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_512__vanilla__tag_v032-opt-g2048__param_eval/experiment_0-0001 · online · c512multireplica-v1.0.1__M_dsv41f__BS_long__SC_endpoints__P_nvidia__C_1024__vanilla__tag_v032-opt__param_eval/experiment_0-0001 · online · c1024
Config Typeonlineonlineonlineonlineonlineonlineonline
Config Region———————
Target QPS———————
Result Statecompletecompletecompletecompletecompletecompletecomplete
Measured Accuracy Score———————
Benchmark Versiond3c57f2d3c57f2d3c57f2d3c57f2d3c57f2d3c57f2d3c57f2
Result Version0.1.00.1.00.1.00.1.00.1.00.1.00.1.0
Archive URIgs://mlperf-endpoints-blob/runs/dd82f8b2-640b-4015-aae6-2aa3cfbfbb59/archive.tar.gzgs://mlperf-endpoints-blob/runs/dc26c176-41cd-4ef2-81fc-0d93823825a8/archive.tar.gzgs://mlperf-endpoints-blob/runs/53e70ba8-dcdf-4f3d-a295-7c0e3936e687/archive.tar.gzgs://mlperf-endpoints-blob/runs/c3dc8fe3-a91e-4f9b-a9a0-b3c5ed9c1bf4/archive.tar.gzgs://mlperf-endpoints-blob/runs/34bf1001-b5a8-4494-8d81-88fdba0ac4ff/archive.tar.gzgs://mlperf-endpoints-blob/runs/b3c071ec-a1b9-44a4-8692-4d114f5b27b3/archive.tar.gzgs://mlperf-endpoints-blob/runs/925fd103-b184-4e20-b9a8-c1adea6cf89f/archive.tar.gz
QPS3.74174.18185.22526.13128.410311.269214.0398
Total Output Tokens16,681,64416,772,31315,796,11814,711,03928,817,15258,154,831116,304,451
Average Output Tokens884.08904.07880.15911.52910.03894.19904.3
Run Duration (s)5,042.904,436.413,434.722,632.263,765.125,771.119,160.52
Total Queries18,86918,55217,94716,13931,66665,036128,612
Total Queries Issued18,86918,55217,94716,13931,66665,036128,612
Total Queries Failed0000000
Time to First Token (TTFT) (ms)
Minimum64.271.586.980.6109.9146.5227.1
Average171.6185.2226.9441.3586.1854.81379.0
P50130.0138.0160.8263.6328.5445.1660.9
P90251.2264.6307.3694.4951.61330.02038.1
P95370.3403.2538.91093.31574.32367.83795.8
P99620.1689.31075.63982.45888.49459.516808.7
P9994608.65395.65702.412563.418921.532092.358846.1
Maximum9544.211282.812146.142692.945950.8114337.4247260.8
Time Per Output Token (TPOT) (ms)
Minimum-0.02-0.02-0.020.010.030.030.02
Average6.277.049.6417.426.440.665.2
P506.347.129.7417.826.941.867.5
P908.699.6913.322.934.352.383.5
P959.3610.514.325.338.257.891.4
P9911.112.417.034.157.586.4123.3
P99914.615.523.494.9126.1121.8147.8
Maximum62.468.170.1183.1191.2176.4331.7
Query Latency (ms)
Minimum180.9191.7260.9341.8440.5636.0900.6
Average6816.17797.810357.518291.727453.441741.568019.2
P501145.61292.81734.03079.24586.76936.911167.8
P9015800.519030.724337.045530.369372.1104091.5171476.8
P9549861.457123.272842.9141977.8218198.9329108.9543016.2
P9972476.780791.7110513.5181365.8269878.3415835.0672203.0
P99977270.087171.2117562.9200683.2287361.4440045.6711408.1
Maximum82318.893274.7121959.1214906.8318418.2489908.8806821.2