# showcase benchmark 2026-11-07 23:14 to 2026-11-08 06:23, v0.6.2 (99d17b033), medians of 3 repetitions, one model alone on the whole machine (one card used at a time), entry point, certified-only class model family engine n card commit wall_s wall_s_all exec_s exec_s_all load_s load_s_all ttft_s ttft_s_all tpot_ms tpot_ms_all tok_s tok_s_all device_peak_mb device_peak_mb_all host_peak_rss host_peak_rss_all run_s run_s_all shas first_output command 16g CogVideoX-5b-I2V video native 3 0 99d17b033 339.2 340.8,337.7,339.2 329.79 331.34,328.74,329.79 28.67 29.488,26.907,28.67 308.474 308.839,308.474,308.213 15472.0 15472.0,15472.0,15472.0 10814615552.0 11615371264.0,10365452288.0,10814615552.0 310.793 311.312,310.793,310.53 fc8571f39b92089f output python -m neurobrix run --model CogVideoX-5b-I2V --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --input-image benchmarks/assets/apple_448.png --steps 4 --height 480 --width 720 --hardware --certified-only --output /output.mp4 16g CogVideoX-5b-I2V video triton 3 0 99d17b033 295.7 295.9,295.7,295.3 280.12 280.61,280.12,279.55 27.982 27.982,27.733,28.119 265.657 265.732,265.657,265.167 14745.0 14745.0,14745.0,14745.0 1641054208.0 1641054208.0,1615933440.0,1659617280.0 267.918 267.918,267.967,267.181 e3b50962409800a8 output python -m neurobrix run --model CogVideoX-5b-I2V --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --input-image benchmarks/assets/apple_448.png --steps 4 --height 480 --width 720 --triton --hardware --certified-only --output /output.mp4 16g DeepSeek-Coder-V2-Lite-Instruct llm native 3 0 99d17b033 84.1 83.9,86.7,84.1 68.41 67.43,70.06,68.41 60.041 58.972,60.72,60.041 7.275 7.152,7.393,7.275 314.76 314.76,329.76,309.09 1.89 1.89,1.82,1.9 14052.0 14052.0,14052.0,14052.0 59961131008.0 59170996224.0,60264980480.0,59961131008.0 24.928 24.928,25.98,24.059 18704385660f05ce token python -m neurobrix run --model DeepSeek-Coder-V2-Lite-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g DeepSeek-Coder-V2-Lite-Instruct llm triton 3 0 99d17b033 121.1 121.1,121.4,106.1 104.93 105.9,104.93,91.03 100.77 100.77,101.234,86.977 6.033 6.033,6.279,5.599 310.35 319.08,310.35,299.25 2.01 2.01,2.01,2.15 13394.0 13394.0,13394.0,13394.0 34381496320.0 34678153216.0,34381496320.0,34379509760.0 20.166 20.33,20.166,19.123 acb245d7dffcdc38 token python -m neurobrix run --model DeepSeek-Coder-V2-Lite-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g Flex.1-alpha image native 3 0 99d17b033 43.4 43.4,42.9,44.5 36.29 36.29,35.92,36.97 24.456 24.136,24.456,26.276 15.955 16.455,15.955,15.361 13070.0 13070.0,13070.0,13070.0 25382998016.0 25382998016.0,26103717888.0,24985796608.0 18.444 19.264,18.444,18.224 d485368e315d0564 output python -m neurobrix run --model Flex.1-alpha --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 384 --width 512 --hardware --certified-only --output /output.png 16g Flex.1-alpha image triton 3 0 99d17b033 49.8 49.0,49.8,51.8 44.47 43.9,44.47,46.35 25.385 24.584,25.385,27.262 23.589 23.725,23.437,23.589 12982.0 12982.0,12982.0,12982.0 16778272768.0 16777826304.0,16778592256.0,16778272768.0 24.416 24.416,24.415,24.538 fe560c7a2c6522e3 output python -m neurobrix run --model Flex.1-alpha --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 384 --width 512 --triton --hardware --certified-only --output /output.png 16g GLM-4.1V-9B-Thinking vlm native 3 0 99d17b033 80.1 79.4,80.2,80.1 72.76 72.21,72.76,72.77 22.049 21.045,22.049,22.326 8.21 8.274,8.21,8.045 1488.4 1508.0,1488.4,1485.12 0.59 0.58,0.59,0.59 10610.0 10610.0,10610.0,10610.0 28928200704.0 25611571200.0,28928200704.0,32294084608.0 58.151 58.355,58.151,57.774 54bd634831f586a1 token python -m neurobrix run --model GLM-4.1V-9B-Thinking --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g GLM-4.1V-9B-Thinking vlm triton 3 0 99d17b033 72.0 73.4,71.9,72.0 66.87 68.24,66.56,66.87 22.512 23.177,21.631,22.512 7.733 7.733,7.867,7.433 1275.73 1280.9,1275.73,1259.8 0.67 0.67,0.67,0.69 14604.0 14604.0,14604.0,14604.0 17013997568.0 17012695040.0,17013997568.0,17418002432.0 50.223 50.223,50.269,49.488 54bd634831f586a1 token python -m neurobrix run --model GLM-4.1V-9B-Thinking --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g Janus-Pro-7B multimodal native 3 0 99d17b033 170.7 173.7,170.3,170.7 164.95 167.95,164.5,164.95 14.574 14.833,14.574,14.008 5.643 5.643,5.362,5.72 253.19 257.03,252.42,253.19 3.81 3.75,3.83,3.81 13162.0 13162.0,13162.0,13162.0 19981885440.0 18896596992.0,19981885440.0,21014548480.0 156.692 158.867,155.726,156.692 2021bfb293d3951d token python -m neurobrix run --model Janus-Pro-7B --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode image --hardware --certified-only --output /output.png 16g Janus-Pro-7B multimodal triton 3 0 99d17b033 41.1 41.1,41.5,41.1 37.13 36.99,37.58,37.13 11.208 11.278,11.182,11.208 1.076 1.076,1.117,1.048 47.98 47.74,48.75,47.98 20.12 20.19,19.76,20.12 14185.0 14185.0,14185.0,14185.0 578191360.0 578191360.0,913870848.0,574713856.0 29.892 29.822,30.318,29.892 30b75780922406ad token python -m neurobrix run --model Janus-Pro-7B --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode image --triton --hardware --certified-only --output /output.png 16g Kokoro-82M tts native 3 0 99d17b033 9.0 8.9,9.0,9.0 5.31 5.31,5.28,5.65 3.929 3.929,3.957,3.853 3.964 3.964,3.912,4.221 154.0 154.0,154.0,154.0 1711157248.0 1680752640.0,1711157248.0,1718476800.0 5.043 4.971,5.043,5.147 ac506b101fcdd7d6 output python -m neurobrix run --model Kokoro-82M --prompt 'The quick brown fox jumps over the lazy dog.' --seed 42 --speaker af_alloy --hardware --certified-only --output /output.wav 16g Kokoro-82M tts triton 3 0 99d17b033 11.4 11.4,12.0,11.4 8.24 7.95,8.58,8.24 4.585 4.585,4.719,4.186 6.482 5.953,6.528,6.482 1174.0 1174.0,1174.0,1174.0 616910848.0 618885120.0,616910848.0,613830656.0 7.214 6.815,7.281,7.214 d9899040a1633411 output python -m neurobrix run --model Kokoro-82M --prompt 'The quick brown fox jumps over the lazy dog.' --seed 42 --speaker af_alloy --triton --hardware --certified-only --output /output.wav 16g Qwen3-30B-A3B-Thinking-2507 llm native 3 0 99d17b033 203.7 203.7,198.5,207.5 144.07 144.07,139.14,145.39 135.639 135.639,133.42,144.274 17.631 17.631,16.51,17.699 617.47 602.41,617.47,630.9 0.88 0.88,0.9,0.86 12830.0 12830.0,12830.0,12830.0 85916192768.0 86349529088.0,85916192768.0,84983455744.0 65.08 68.061,65.08,63.226 59e8d646fd74a22a token python -m neurobrix run --model Qwen3-30B-A3B-Thinking-2507 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g Qwen3-30B-A3B-Thinking-2507 llm triton 3 0 99d17b033 288.3 268.6,321.2,288.3 212.9 209.41,238.79,212.9 238.514 234.181,262.051,238.514 9.748 9.308,10.935,9.748 415.28 415.28,420.62,404.59 1.44 1.44,1.33,1.44 13213.0 13213.0,13213.0,13213.0 62321070080.0 62753648640.0,62121533440.0,62321070080.0 49.786 34.419,59.149,49.786 59e8d646fd74a22a token python -m neurobrix run --model Qwen3-30B-A3B-Thinking-2507 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g Qwen3-Coder-30B-A3B-Instruct llm native 3 0 99d17b033 219.0 219.0,256.8,217.4 158.51 158.51,194.52,158.1 133.63 138.373,132.834,133.63 17.152 17.152,20.477,16.267 534.57 541.3,534.57,528.98 0.94 0.94,0.86,0.98 12830.0 12830.0,12830.0,12830.0 84670775296.0 84670775296.0,86198312960.0,67041497088.0 83.77 80.627,123.966,83.77 bd43315262239de0 token python -m neurobrix run --model Qwen3-Coder-30B-A3B-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g Qwen3-Coder-30B-A3B-Instruct llm triton 3 0 99d17b033 264.6 264.3,272.0,264.6 208.47 206.58,214.72,208.47 235.893 235.052,243.037,235.893 8.475 8.475,8.548,8.412 339.34 339.4,339.34,330.75 1.68 1.68,1.68,1.71 13407.0 13407.0,13407.0,13407.0 63286194176.0 63286804480.0,63286194176.0,62876737536.0 28.963 29.248,28.963,28.707 bd43315262239de0 token python -m neurobrix run --model Qwen3-Coder-30B-A3B-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g Qwen3-Omni-30B-A3B-Instruct multimodal native 3 0 99d17b033 169.7 169.7,170.2,166.3 133.22 133.22,133.76,130.45 109.698 109.698,111.463,108.308 25.849 25.874,25.849,24.369 650.75 656.45,642.04,650.75 0.67 0.67,0.67,0.69 12196.0 12196.0,12196.0,12196.0 84017049600.0 84017049600.0,85153882112.0,83459719168.0 58.737 60.002,58.737,57.992 113afd0178684249 token python -m neurobrix run --model Qwen3-Omni-30B-A3B-Instruct --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --hardware --certified-only --output /output.txt 16g Qwen3-Omni-30B-A3B-Instruct multimodal triton 3 0 99d17b033 276.3 280.4,268.6,276.3 246.25 251.42,240.05,246.25 229.171 236.832,225.455,229.171 20.61 20.441,20.613,20.61 386.99 386.99,378.56,397.04 0.95 0.95,0.95,0.93 13292.0 13292.0,13292.0,13292.0 62120103936.0 62719238144.0,62119858176.0,62120103936.0 43.568 43.568,43.145,47.129 113afd0178684249 token python -m neurobrix run --model Qwen3-Omni-30B-A3B-Instruct --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --triton --hardware --certified-only --output /output.txt 16g Qwen3-VL-30B-A3B-Thinking multimodal native 3 0 99d17b033 449.9 449.7,456.8,449.9 435.35 435.35,437.8,431.29 70.201 73.714,70.201,68.688 18.668 18.472,18.668,18.689 11099.76 11099.76,11157.33,11016.58 0.09 0.09,0.09,0.09 9094.0 9094.0,9094.0,9094.0 74853597184.0 79314542592.0,74853597184.0,74439258112.0 381.212 375.986,386.599,381.212 ba583c7fb4bc0b93 token python -m neurobrix run --model Qwen3-VL-30B-A3B-Thinking --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --hardware --certified-only --output /output.txt 16g Qwen3-VL-30B-A3B-Thinking multimodal triton 3 0 99d17b033 443.1 443.1,430.9,447.3 436.87 436.87,425.09,440.63 72.338 72.338,61.667,79.649 18.724 18.218,18.724,18.92 11039.82 11084.13,11039.82,10929.83 0.09 0.09,0.09,0.09 10045.0 10045.0,10045.0,10045.0 60650885120.0 61241843712.0,60650885120.0,60650053632.0 369.233 370.762,369.233,367.651 ba583c7fb4bc0b93 token python -m neurobrix run --model Qwen3-VL-30B-A3B-Thinking --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --triton --hardware --certified-only --output /output.txt 16g Real-ESRGAN-RealESRGAN_x4plus upscaler native 3 0 99d17b033 6.2 6.2,6.1,6.2 2.67 2.74,2.67,2.65 2.438 2.438,2.433,2.565 2.241 2.302,2.241,2.213 2312.0 2312.0,2312.0,2312.0 1100705792.0 1100787712.0,1100705792.0,1088749568.0 3.667 3.762,3.667,3.635 19fbbcb8e461eaae output python -m neurobrix run --model Real-ESRGAN-RealESRGAN_x4plus --input-image benchmarks/assets/apple_448.png --hardware --certified-only --output /output.png 16g Real-ESRGAN-RealESRGAN_x4plus upscaler triton 3 0 99d17b033 6.7 6.7,6.7,6.9 3.2 3.01,3.2,3.22 3.835 3.717,3.835,4.004 1.67 1.525,1.695,1.67 2466.0 2466.0,2466.0,2466.0 376549376.0 377016320.0,376418304.0,376549376.0 2.896 2.983,2.865,2.896 44a22de94e85cf64 output python -m neurobrix run --model Real-ESRGAN-RealESRGAN_x4plus --input-image benchmarks/assets/apple_448.png --triton --hardware --certified-only --output /output.png 16g Sana_1600M_1024px_MultiLing image native 3 0 99d17b033 26.8 26.8,26.6,27.0 22.02 22.07,21.87,22.02 15.699 15.801,15.23,15.699 9.958 9.801,10.135,9.958 5246.0 5246.0,5246.0,5246.0 7344672768.0 7061737472.0,8813428736.0,7344672768.0 11.301 10.999,11.37,11.301 38603a99bae8c831 output python -m neurobrix run --model Sana_1600M_1024px_MultiLing --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 320 --width 512 --hardware --certified-only --output /output.png 16g Sana_1600M_1024px_MultiLing image triton 3 0 99d17b033 20.1 20.1,20.1,20.3 15.74 15.74,16.04,15.7 11.524 11.524,11.074,11.66 7.865 7.865,8.194,7.832 5958.0 5958.0,5958.0,5958.0 1518514176.0 1911148544.0,817946624.0,1518514176.0 8.64 8.576,9.026,8.64 40be56569f5a0500 output python -m neurobrix run --model Sana_1600M_1024px_MultiLing --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 320 --width 512 --triton --hardware --certified-only --output /output.png 16g Sana_1600M_4Kpx_BF16 image native 3 0 99d17b033 78.1 78.1,77.1,79.1 69.86 69.86,69.01,70.66 18.77 18.77,18.31,19.554 57.465 57.465,56.966,57.584 15206.0 15206.0,15206.0,15206.0 7666089984.0 9448341504.0,6571266048.0,7666089984.0 59.33 59.33,58.79,59.546 817489bb7f11657e output python -m neurobrix run --model Sana_1600M_4Kpx_BF16 --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 1408 --width 2048 --hardware --certified-only --output /output.png 16g Sana_1600M_4Kpx_BF16 image triton 3 0 99d17b033 81.9 81.9,82.5,81.9 72.36 72.24,72.69,72.36 16.687 17.214,16.657,16.687 63.742 63.246,64.245,63.742 13016.0 13016.0,13016.0,13016.0 965685248.0 990203904.0,965685248.0,958054400.0 65.213 64.686,65.843,65.213 aa9a9e0376f314b5 output python -m neurobrix run --model Sana_1600M_4Kpx_BF16 --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 1408 --width 2048 --triton --hardware --certified-only --output /output.png 16g TinyLlama-1.1B-Chat-v1.0 llm native 3 0 99d17b033 10.8 10.6,10.8,11.3 7.31 7.18,7.31,7.89 5.576 5.159,5.576,6.321 0.632 0.716,0.632,0.503 70.92 70.23,71.52,70.92 11.23 11.06,11.23,11.85 2232.0 2232.0,2232.0,2232.0 2108694528.0 1529376768.0,2674552832.0,2108694528.0 5.224 5.441,5.224,4.979 6f0f97042be11657 token python -m neurobrix run --model TinyLlama-1.1B-Chat-v1.0 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g TinyLlama-1.1B-Chat-v1.0 llm triton 3 0 99d17b033 7.2 7.3,7.2,7.1 4.09 4.09,4.09,4.12 4.784 4.786,4.784,4.555 0.878 0.904,0.857,0.878 28.83 28.77,28.83,29.25 17.93 17.82,18.28,17.93 2320.0 2320.0,2320.0,2320.0 433557504.0 433557504.0,432345088.0,448552960.0 2.514 2.514,2.416,2.545 6f0f97042be11657 token python -m neurobrix run --model TinyLlama-1.1B-Chat-v1.0 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g Voxtral-Mini-3B-2507 audio_llm native 3 0 99d17b033 27.1 27.0,27.1,27.7 23.27 23.03,23.27,23.63 14.266 14.266,13.955,14.506 5.204 5.053,5.269,5.204 243.56 240.6,243.56,245.6 2.33 2.39,2.33,2.33 11046.0 11046.0,11046.0,11046.0 7817793536.0 8407564288.0,7689482240.0,7817793536.0 13.145 12.734,13.145,13.194 d5607440635b0e07 token python -m neurobrix run --model Voxtral-Mini-3B-2507 --audio benchmarks/assets/jfk_11s.wav --prompt 'Transcribe this audio.' --max-tokens 32 --hardware --certified-only --output /output.txt 16g Voxtral-Mini-3B-2507 audio_llm triton 3 0 99d17b033 13.8 13.8,13.8,14.6 10.07 9.91,10.07,10.61 10.074 9.842,10.074,10.519 1.847 1.847,1.628,1.859 49.73 49.03,49.73,50.83 8.65 8.65,9.24,8.49 9238.0 9238.0,9238.0,9238.0 1353007104.0 1353007104.0,1313890304.0,1356910592.0 3.958 3.958,3.726,4.081 d5607440635b0e07 token python -m neurobrix run --model Voxtral-Mini-3B-2507 --audio benchmarks/assets/jfk_11s.wav --prompt 'Transcribe this audio.' --max-tokens 32 --triton --hardware --certified-only --output /output.txt 16g Wan2.1-T2V-1.3B video native 3 0 99d17b033 36.5 36.5,35.7,36.7 30.58 30.58,29.84,30.85 19.046 19.046,18.895,19.446 15.453 15.453,15.208,15.635 11224.0 11224.0,11224.0,11224.0 21557329920.0 21557329920.0,18619785216.0,22199226368.0 17.254 17.454,16.805,17.254 6f9f5a6590d43a7e output python -m neurobrix run --model Wan2.1-T2V-1.3B --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --steps 2 --height 480 --width 832 --num-frames 9 --hardware --certified-only --output /output.mp4 16g Wan2.1-T2V-1.3B video triton 3 0 99d17b033 37.2 37.2,36.5,37.5 32.26 32.26,31.65,32.52 21.254 21.254,20.736,21.519 14.679 14.679,14.585,14.728 11897.0 11897.0,11897.0,11897.0 5756674048.0 6871093248.0,5756674048.0,5425143808.0 15.946 15.946,15.764,15.981 12acf831ab849a8f output python -m neurobrix run --model Wan2.1-T2V-1.3B --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --steps 2 --height 480 --width 832 --num-frames 9 --triton --hardware --certified-only --output /output.mp4 16g deepseek-moe-16b-chat llm native 3 0 99d17b033 70.9 77.2,69.8,70.9 56.74 62.09,54.93,56.74 43.275 43.949,42.507,43.275 7.346 7.498,6.869,7.346 367.72 371.35,367.72,365.73 1.71 1.68,1.75,1.71 13432.0 13432.0,13432.0,13432.0 58936541184.0 59253374976.0,58936541184.0,58546606080.0 27.625 33.251,27.293,27.625 2de67e40f91f28e2 token python -m neurobrix run --model deepseek-moe-16b-chat --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 16g deepseek-moe-16b-chat llm triton 3 0 99d17b033 60.4 70.1,60.4,60.3 47.36 56.34,47.36,46.91 40.128 49.177,40.028,40.128 6.097 6.192,6.076,6.097 327.27 328.15,327.27,324.7 1.97 1.96,1.97,1.98 13604.0 13604.0,13604.0,13604.0 32761237504.0 32760303616.0,32761454592.0,32761237504.0 20.372 20.923,20.372,20.172 f18c9059b5fe6583 token python -m neurobrix run --model deepseek-moe-16b-chat --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 16g whisper-large-v3-turbo stt native 3 0 99d17b033 8.4 8.4,7.9,8.5 5.02 4.93,5.02,5.39 4.508 4.835,4.316,4.508 1.206 1.138,1.206,1.44 6.33 6.44,6.33,6.18 21.59 22.64,21.59,18.53 1604.0 1604.0,1604.0,1604.0 1700347904.0 1239740416.0,1834594304.0,1700347904.0 3.584 3.565,3.584,3.992 b4386bd8e2a58b90 token python -m neurobrix run --model whisper-large-v3-turbo --audio benchmarks/assets/jfk_11s.wav --hardware --certified-only --output /output.txt 16g whisper-large-v3-turbo stt triton 3 0 99d17b033 5.8 6.0,5.8,5.8 3.01 3.22,2.94,3.01 4.076 4.228,4.076,3.963 0.811 0.753,0.811,0.839 10.93 9.56,10.93,11.81 26.58 29.12,26.58,25.39 2637.0 2637.0,2637.0,2637.0 378400768.0 377581568.0,378400768.0,379285504.0 1.772 1.772,1.724,1.837 b4386bd8e2a58b90 token python -m neurobrix run --model whisper-large-v3-turbo --audio benchmarks/assets/jfk_11s.wav --triton --hardware --certified-only --output /output.txt 32g CogVideoX-5b-I2V video native 3 2 99d17b033 339.7 339.9,339.4,339.7 330.66 330.8,329.67,330.66 28.628 28.628,28.585,29.03 308.411 308.897,308.154,308.411 15452.0 15472.0,15452.0,15452.0 11390390272.0 11846901760.0,11390390272.0,10591457280.0 310.815 311.272,310.815,310.67 fc8571f39b92089f output python -m neurobrix run --model CogVideoX-5b-I2V --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --input-image benchmarks/assets/apple_448.png --steps 4 --height 480 --width 720 --hardware --certified-only --output /output.mp4 32g CogVideoX-5b-I2V video triton 3 2 99d17b033 288.8 288.8,290.2,288.5 279.13 279.13,279.76,278.76 22.26 22.26,23.484,22.26 264.009 264.361,263.783,264.009 18041.0 18041.0,18041.0,18041.0 1604542464.0 1539457024.0,1604542464.0,1652654080.0 266.54 266.54,266.716,266.24 794de82c8521a697 output python -m neurobrix run --model CogVideoX-5b-I2V --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --input-image benchmarks/assets/apple_448.png --steps 4 --height 480 --width 720 --triton --hardware --certified-only --output /output.mp4 32g DeepSeek-Coder-V2-Lite-Instruct llm native 3 2 99d17b033 77.1 83.0,77.1,75.2 60.68 64.79,60.68,59.08 56.479 63.908,56.479,55.938 7.421 7.234,8.043,7.421 134.19 133.68,139.73,134.19 2.76 2.81,2.59,2.76 29092.0 29092.0,29092.0,29092.0 59343482880.0 62331379712.0,59343482880.0,57612914688.0 19.262 19.092,20.621,19.262 18704385660f05ce token python -m neurobrix run --model DeepSeek-Coder-V2-Lite-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g DeepSeek-Coder-V2-Lite-Instruct llm triton 3 2 99d17b033 82.0 82.0,82.1,81.4 69.47 69.93,69.43,69.47 76.692 76.718,76.692,76.115 2.533 2.533,2.475,2.631 49.24 49.24,52.12,48.75 7.82 7.88,7.82,7.73 31314.0 31314.0,31314.0,31314.0 5219463168.0 5011787776.0,5220159488.0,5219463168.0 5.285 5.282,5.408,5.285 18704385660f05ce token python -m neurobrix run --model DeepSeek-Coder-V2-Lite-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g Flex.1-alpha image native 3 2 99d17b033 33.5 35.3,32.4,33.5 28.05 30.19,27.49,28.05 23.836 25.667,22.731,23.836 8.623 8.58,8.641,8.623 15750.0 15750.0,15750.0,15750.0 14596911104.0 15399391232.0,13482418176.0,14596911104.0 9.664 9.633,9.669,9.664 d485368e315d0564 output python -m neurobrix run --model Flex.1-alpha --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 384 --width 512 --hardware --certified-only --output /output.png 32g Flex.1-alpha image triton 3 2 99d17b033 29.1 28.5,29.4,29.1 24.46 23.81,24.89,24.46 17.729 17.226,17.799,17.729 10.738 10.665,10.932,10.738 16936.0 16936.0,16936.0,16936.0 703184896.0 740823040.0,667934720.0,703184896.0 11.371 11.274,11.601,11.371 932f8710e05ddf0b output python -m neurobrix run --model Flex.1-alpha --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 384 --width 512 --triton --hardware --certified-only --output /output.png 32g GLM-4.1V-9B-Thinking vlm native 3 2 99d17b033 34.1 32.7,34.1,39.8 28.21 27.0,28.21,33.55 24.278 22.923,24.278,27.711 4.497 4.497,4.267,4.891 112.77 112.26,112.77,161.62 4.01 4.01,4.12,3.23 17990.0 17990.0,17990.0,17990.0 18997391360.0 18997391360.0,19855581184.0,18296922112.0 9.822 9.777,9.822,12.089 54bd634831f586a1 token python -m neurobrix run --model GLM-4.1V-9B-Thinking --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g GLM-4.1V-9B-Thinking vlm triton 3 2 99d17b033 23.3 22.7,23.3,26.8 18.01 17.2,18.01,20.64 15.663 15.173,15.663,18.081 3.75 3.656,3.75,4.26 82.21 81.5,82.21,91.78 5.08 5.18,5.08,4.5 19354.0 19354.0,19354.0,19354.0 1067040768.0 1899716608.0,1067040768.0,1044398080.0 7.637 7.527,7.637,8.719 54bd634831f586a1 token python -m neurobrix run --model GLM-4.1V-9B-Thinking --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g Janus-Pro-7B multimodal native 3 2 99d17b033 61.5 61.5,59.1,68.7 57.27 57.27,55.09,63.75 15.481 15.481,14.649,16.955 2.793 2.793,2.051,3.405 68.24 68.24,66.89,75.88 13.7 13.7,14.22,12.25 14342.0 14342.0,14342.0,14342.0 12673007616.0 11789979648.0,12864589824.0,12673007616.0 46.019 46.019,44.451,51.745 2021bfb293d3951d token python -m neurobrix run --model Janus-Pro-7B --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode image --hardware --certified-only --output /output.png 32g Janus-Pro-7B multimodal triton 3 2 99d17b033 42.5 42.5,41.7,43.7 38.46 38.46,37.82,39.74 11.241 11.241,11.197,11.289 1.202 1.202,1.018,1.202 50.16 50.16,49.29,52.25 19.17 19.17,19.62,18.43 14217.0 14217.0,14217.0,14217.0 614363136.0 614363136.0,1326096384.0,530558976.0 31.259 31.259,30.503,32.411 f80f26601c29fd80 token python -m neurobrix run --model Janus-Pro-7B --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode image --triton --hardware --certified-only --output /output.png 32g Kokoro-82M tts native 3 2 99d17b033 9.2 9.0,9.2,10.5 5.71 5.34,5.71,6.41 4.009 4.009,3.99,4.19 4.243 4.016,4.243,5.186 154.0 154.0,154.0,154.0 1707126784.0 1707126784.0,1696419840.0,1708920832.0 5.21 4.991,5.21,6.31 ac506b101fcdd7d6 output python -m neurobrix run --model Kokoro-82M --prompt 'The quick brown fox jumps over the lazy dog.' --seed 42 --speaker af_alloy --hardware --certified-only --output /output.wav 32g Kokoro-82M tts triton 3 2 99d17b033 11.3 11.3,10.9,15.1 8.11 8.11,7.8,11.68 4.402 4.176,4.402,4.696 6.398 6.398,5.872,9.611 1206.0 1206.0,1206.0,1206.0 597430272.0 595501056.0,597536768.0,597430272.0 7.124 7.124,6.498,10.404 153f68f26224da32 output python -m neurobrix run --model Kokoro-82M --prompt 'The quick brown fox jumps over the lazy dog.' --seed 42 --speaker af_alloy --triton --hardware --certified-only --output /output.wav 32g Qwen3-30B-A3B-Thinking-2507 llm native 3 2 99d17b033 188.0 189.0,186.3,188.0 128.23 130.17,127.47,128.23 136.202 137.719,133.211,136.202 15.896 15.896,17.008,15.483 379.7 377.29,379.7,406.76 1.14 1.16,1.11,1.14 27870.0 27870.0,27870.0,27870.0 86642343936.0 86642343936.0,86653366272.0,86422732800.0 51.798 51.281,53.089,51.798 59e8d646fd74a22a token python -m neurobrix run --model Qwen3-30B-A3B-Thinking-2507 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g Qwen3-30B-A3B-Thinking-2507 llm triton 3 2 99d17b033 267.6 260.1,267.6,268.1 208.2 203.48,211.02,208.2 236.788 236.525,243.777,236.788 8.934 8.934,9.268,8.916 154.86 154.86,153.0,331.26 2.28 2.33,2.28,1.67 29597.0 29597.0,29597.0,29597.0 63282282496.0 62748164096.0,63286009856.0,63282282496.0 23.823 23.575,23.823,31.312 59e8d646fd74a22a token python -m neurobrix run --model Qwen3-30B-A3B-Thinking-2507 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g Qwen3-Coder-30B-A3B-Instruct llm native 3 2 99d17b033 197.1 187.4,197.1,205.6 135.62 128.58,135.62,146.74 137.181 133.152,137.357,137.181 16.592 15.791,16.893,16.592 352.64 344.84,352.64,354.61 1.16 1.21,1.15,1.16 27870.0 27870.0,27870.0,27870.0 84137562112.0 84096094208.0,85502246912.0,84137562112.0 59.743 54.248,59.743,68.419 bd43315262239de0 token python -m neurobrix run --model Qwen3-Coder-30B-A3B-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g Qwen3-Coder-30B-A3B-Instruct llm triton 3 2 99d17b033 259.0 255.2,273.1,259.0 201.52 199.0,215.09,201.52 235.601 234.402,251.344,235.601 8.169 7.494,8.169,8.803 119.44 114.18,119.44,122.25 2.7 2.9,2.7,2.54 29727.0 29727.0,29727.0,29727.0 62707003392.0 62707421184.0,62707003392.0,62685036544.0 21.756 20.798,21.756,23.399 bd43315262239de0 token python -m neurobrix run --model Qwen3-Coder-30B-A3B-Instruct --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g Qwen3-Omni-30B-A3B-Instruct multimodal native 3 2 99d17b033 167.7 167.7,167.7,186.9 131.84 131.84,131.16,144.58 111.698 109.618,111.698,117.337 25.459 25.243,25.459,26.035 613.81 613.81,544.48,636.05 0.7 0.7,0.73,0.67 27236.0 27236.0,27236.0,27236.0 84562944000.0 85833199616.0,84562944000.0,84028256256.0 58.082 58.082,56.002,69.563 113afd0178684249 token python -m neurobrix run --model Qwen3-Omni-30B-A3B-Instruct --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --hardware --certified-only --output /output.txt 32g Qwen3-Omni-30B-A3B-Instruct multimodal triton 3 2 99d17b033 272.9 272.9,280.4,272.0 243.97 243.97,251.66,240.01 233.407 233.407,237.938,229.991 20.111 20.093,20.111,20.617 274.13 257.1,274.13,288.81 1.07 1.09,1.07,1.03 29676.0 29676.0,29676.0,29676.0 62388490240.0 62388490240.0,62231015424.0,62582247424.0 42.009 39.493,42.462,42.009 113afd0178684249 token python -m neurobrix run --model Qwen3-Omni-30B-A3B-Instruct --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --triton --hardware --certified-only --output /output.txt 32g Qwen3-VL-30B-A3B-Thinking multimodal native 3 2 99d17b033 362.3 348.6,363.9,362.3 344.16 331.27,344.16,346.17 71.265 59.478,71.265,78.434 19.546 19.664,19.167,19.546 8085.24 8114.21,8085.24,7976.96 0.12 0.12,0.12,0.12 23360.0 23360.0,23360.0,23360.0 76990083072.0 75476881408.0,78488375296.0,76990083072.0 289.122 289.122,292.635,283.866 ba583c7fb4bc0b93 token python -m neurobrix run --model Qwen3-VL-30B-A3B-Thinking --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --hardware --certified-only --output /output.txt 32g Qwen3-VL-30B-A3B-Thinking multimodal triton 3 2 99d17b033 334.0 337.5,334.0,326.3 327.73 331.31,327.73,320.38 66.121 71.723,66.121,63.683 18.123 18.12,18.27,18.123 7688.23 7688.23,7750.84,7606.3 0.12 0.12,0.12,0.13 26703.0 26703.0,26703.0,26703.0 60646207488.0 61260869632.0,60641251328.0,60646207488.0 265.777 265.777,267.879,262.617 ba583c7fb4bc0b93 token python -m neurobrix run --model Qwen3-VL-30B-A3B-Thinking --prompt 'a red apple on a wooden table' --seed 42 --max-tokens 32 --temperature 0.0 --mode text --input-image benchmarks/assets/apple_448.png --prompt 'Describe this image in one sentence.' --triton --hardware --certified-only --output /output.txt 32g Real-ESRGAN-RealESRGAN_x4plus upscaler native 3 2 99d17b033 6.2 6.5,6.2,6.2 2.71 2.81,2.71,2.65 2.598 2.598,2.477,2.718 2.263 2.361,2.263,1.949 2312.0 2312.0,2312.0,2312.0 1093644288.0 1040318464.0,1093644288.0,1098334208.0 3.723 3.902,3.723,3.482 19fbbcb8e461eaae output python -m neurobrix run --model Real-ESRGAN-RealESRGAN_x4plus --input-image benchmarks/assets/apple_448.png --hardware --certified-only --output /output.png 32g Real-ESRGAN-RealESRGAN_x4plus upscaler triton 3 2 99d17b033 6.7 6.7,6.5,6.8 3.23 3.23,3.06,3.27 3.785 3.785,3.707,3.879 1.725 1.725,1.59,1.76 2466.0 2466.0,2466.0,2466.0 376700928.0 376983552.0,376700928.0,375926784.0 2.915 2.915,2.793,2.921 44a22de94e85cf64 output python -m neurobrix run --model Real-ESRGAN-RealESRGAN_x4plus --input-image benchmarks/assets/apple_448.png --triton --hardware --certified-only --output /output.png 32g Sana_1600M_1024px_MultiLing image native 3 2 99d17b033 26.5 29.1,26.2,26.5 21.85 24.35,21.61,21.85 14.957 18.028,14.957,14.779 10.083 9.892,10.083,10.517 5246.0 5246.0,5246.0,5246.0 8190558208.0 8491556864.0,8190558208.0,7965569024.0 11.243 11.072,11.243,11.721 38603a99bae8c831 output python -m neurobrix run --model Sana_1600M_1024px_MultiLing --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 320 --width 512 --hardware --certified-only --output /output.png 32g Sana_1600M_1024px_MultiLing image triton 3 2 99d17b033 20.3 20.3,20.3,20.2 15.86 15.88,15.77,15.86 11.59 11.737,11.59,11.549 7.884 7.808,7.884,7.961 6022.0 6022.0,6022.0,6022.0 1911742464.0 1912274944.0,1911742464.0,1911103488.0 8.651 8.563,8.71,8.651 210c769615e1e530 output python -m neurobrix run --model Sana_1600M_1024px_MultiLing --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 320 --width 512 --triton --hardware --certified-only --output /output.png 32g Sana_1600M_4Kpx_BF16 image native 3 2 99d17b033 78.2 78.6,78.0,78.2 72.83 73.42,72.78,72.83 18.045 18.248,18.045,17.985 58.28 58.642,58.013,58.28 30284.0 30284.0,30284.0,30284.0 8022867968.0 8022867968.0,8711471104.0,7389990912.0 60.215 60.352,59.955,60.215 c525bacf7075d788 output python -m neurobrix run --model Sana_1600M_4Kpx_BF16 --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 1408 --width 2048 --hardware --certified-only --output /output.png 32g Sana_1600M_4Kpx_BF16 image triton 3 2 99d17b033 81.0 80.1,81.0,82.2 76.4 75.64,76.4,77.58 13.29 12.492,13.29,13.978 66.377 66.269,66.377,66.724 26997.0 26997.0,26997.0,26997.0 917983232.0 946003968.0,917983232.0,868511744.0 67.71 67.608,67.71,68.222 09fd2a9e48347f96 output python -m neurobrix run --model Sana_1600M_4Kpx_BF16 --prompt 'a red apple on a wooden table' --seed 42 --steps 8 --height 1408 --width 2048 --triton --hardware --certified-only --output /output.png 32g TinyLlama-1.1B-Chat-v1.0 llm native 3 2 99d17b033 11.2 11.1,11.2,11.7 7.73 7.63,7.73,8.21 6.176 6.071,6.176,6.325 0.516 0.516,0.506,0.747 72.54 72.38,72.54,75.33 11.6 11.6,11.61,10.38 2232.0 2232.0,2232.0,2232.0 2251534336.0 2324287488.0,2251534336.0,2236850176.0 5.029 5.029,5.024,5.375 6f0f97042be11657 token python -m neurobrix run --model TinyLlama-1.1B-Chat-v1.0 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g TinyLlama-1.1B-Chat-v1.0 llm triton 3 2 99d17b033 7.2 7.1,7.2,7.5 4.11 4.05,4.11,4.31 4.868 4.848,4.944,4.868 0.925 0.883,0.925,1.118 26.05 26.05,25.27,26.41 18.72 18.92,18.72,16.52 2352.0 2352.0,2352.0,2352.0 427343872.0 421552128.0,427343872.0,535113728.0 2.256 2.252,2.256,2.632 6f0f97042be11657 token python -m neurobrix run --model TinyLlama-1.1B-Chat-v1.0 --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g Voxtral-Mini-3B-2507 audio_llm native 3 2 99d17b033 28.1 28.1,27.0,30.8 24.18 24.18,23.09,26.25 14.837 14.837,13.755,15.196 4.908 4.806,4.908,6.583 265.49 265.49,265.36,278.64 2.29 2.31,2.29,1.95 11046.0 11046.0,11046.0,11046.0 7886049280.0 8044793856.0,6124359680.0,7886049280.0 13.263 13.263,13.245,15.604 d5607440635b0e07 token python -m neurobrix run --model Voxtral-Mini-3B-2507 --audio benchmarks/assets/jfk_11s.wav --prompt 'Transcribe this audio.' --max-tokens 32 --hardware --certified-only --output /output.txt 32g Voxtral-Mini-3B-2507 audio_llm triton 3 2 99d17b033 14.7 14.2,14.7,15.3 10.72 10.08,10.72,11.04 10.6 10.111,10.6,10.785 1.801 1.753,1.801,2.164 50.41 49.02,50.9,50.41 8.64 8.92,8.64,7.77 9270.0 9270.0,9270.0,9270.0 1351766016.0 621805568.0,1352982528.0,1351766016.0 4.1 4.089,4.1,4.515 d5607440635b0e07 token python -m neurobrix run --model Voxtral-Mini-3B-2507 --audio benchmarks/assets/jfk_11s.wav --prompt 'Transcribe this audio.' --max-tokens 32 --triton --hardware --certified-only --output /output.txt 32g Wan2.1-T2V-1.3B video native 3 2 99d17b033 35.6 35.5,36.4,35.6 30.28 30.28,30.91,30.04 19.435 19.4,20.267,19.435 14.61 14.623,14.61,14.555 11224.0 11224.0,11224.0,11224.0 19347632128.0 17311281152.0,19347632128.0,20329324544.0 16.133 16.1,16.133,16.165 ee6288b3a852977b output python -m neurobrix run --model Wan2.1-T2V-1.3B --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --steps 2 --height 480 --width 832 --num-frames 9 --hardware --certified-only --output /output.mp4 32g Wan2.1-T2V-1.3B video triton 3 2 99d17b033 37.1 36.5,37.1,37.1 31.97 31.93,31.97,32.25 21.12 20.901,21.12,21.262 14.564 14.564,14.512,14.822 11929.0 11929.0,11929.0,11929.0 5083537408.0 6843019264.0,5083537408.0,4839133184.0 15.838 15.599,15.98,15.838 ed6d789b0c92b96b output python -m neurobrix run --model Wan2.1-T2V-1.3B --prompt 'a red apple rolling slowly across a wooden table' --seed 42 --steps 2 --height 480 --width 832 --num-frames 9 --triton --hardware --certified-only --output /output.mp4 32g deepseek-moe-16b-chat llm native 3 2 99d17b033 67.0 67.0,64.3,67.7 52.51 52.91,49.78,52.51 43.22 40.575,43.22,43.888 7.729 8.07,7.364,7.729 162.09 160.59,162.49,162.09 2.51 2.45,2.58,2.51 28452.0 28452.0,28452.0,28452.0 59914735616.0 45232205824.0,59914735616.0,60825423872.0 23.812 26.425,21.08,23.812 2de67e40f91f28e2 token python -m neurobrix run --model deepseek-moe-16b-chat --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --hardware --certified-only --output /output.txt 32g deepseek-moe-16b-chat llm triton 3 2 99d17b033 39.2 39.2,39.0,44.5 28.84 28.84,28.75,33.77 29.813 29.813,29.768,34.865 1.364 1.364,1.121,1.56 223.76 223.05,226.68,223.76 3.87 3.87,3.93,3.77 31580.0 31580.0,31580.0,31580.0 810176512.0 810176512.0,809889792.0,810774528.0 9.387 9.387,9.232,9.635 f18c9059b5fe6583 token python -m neurobrix run --model deepseek-moe-16b-chat --prompt 'Explain in three sentences why the sky is blue and the sunset red.' --max-tokens 32 --temperature 0.0 --triton --hardware --certified-only --output /output.txt 32g whisper-large-v3-turbo stt native 3 2 99d17b033 7.9 7.8,7.9,8.6 4.96 4.9,4.96,5.39 4.309 4.287,4.309,4.386 1.189 1.186,1.189,1.31 6.22 6.22,6.21,7.07 21.9 21.95,21.9,19.8 1604.0 1604.0,1604.0,1604.0 1807761408.0 1832718336.0,1807761408.0,1722368000.0 3.591 3.513,3.591,4.214 b4386bd8e2a58b90 token python -m neurobrix run --model whisper-large-v3-turbo --audio benchmarks/assets/jfk_11s.wav --hardware --certified-only --output /output.txt 32g whisper-large-v3-turbo stt triton 3 2 99d17b033 6.0 5.9,6.0,6.1 3.15 3.13,3.15,3.39 4.064 4.093,4.064,3.947 0.967 0.932,0.967,1.193 8.92 8.92,8.75,9.47 24.58 25.19,24.58,20.44 2637.0 2637.0,2637.0,2637.0 377114624.0 377114624.0,377036800.0,378056704.0 1.936 1.807,1.936,2.153 b4386bd8e2a58b90 token python -m neurobrix run --model whisper-large-v3-turbo --audio benchmarks/assets/jfk_11s.wav --triton --hardware --certified-only --output /output.txt