source_file stringclasses 73
values | source_kind stringclasses 2
values | gpu_name stringclasses 10
values | gpu_uuid stringclasses 11
values | seed int64 11 22 | model_key stringclasses 9
values | model_label stringclasses 9
values | actual_unique_parameters float64 150M 7.98B ⌀ | sequence_length int64 512 32.8k | batch_size float64 1 512 ⌀ | tokens_per_step float64 1.02k 131k ⌀ | status stringclasses 3
values | stable bool 1
class | warmup_steps_executed float64 11 45 ⌀ | measured_steps float64 20 20 ⌀ | median_step_time_ms float64 42.4 3.59k ⌀ | mean_based_tokens_per_second float64 3.64k 244k ⌀ | measured_robust_relative_jitter float64 0 0.06 ⌀ | tokens_per_second float64 3.64k 244k ⌀ | achieved_tflops float64 19.8 668 ⌀ | dense_bf16_peak_tflops float64 155 2.25k | model_flops_utilization_pct float64 0.88 100 ⌀ | configured_clock_dense_bf16_peak_tflops float64 181 2.25k | configured_clock_model_flops_utilization_pct float64 0.88 78 ⌀ | peak_allocated_gb float64 4.62 286 ⌀ | peak_allocated_vram_pct float64 1.61 99.6 ⌀ | peak_reserved_gb float64 4.66 287 ⌀ | peak_reserved_vram_pct float64 1.62 99.7 ⌀ | selected_sdpa_backend stringclasses 1
value | error stringclasses 553
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 838.256744 | 39,085.994141 | 0.000376 | 39,090.648801 | 540.019863 | 2,250 | 24.000883 | 2,250 | 24.000883 | 168.019168 | 58.455959 | 170.653647 | 59.372527 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 283.398186 | 98.597755 | 283.753054 | 98.721218 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 267.69 GiB of which 2.76 GiB is free. Including non-PyTorch memory, this process has 264.91 GiB memory in use. Of the allocated memory 263.94 GiB is allocated by PyTorch, and 158.43 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 173.637199 | 11,761.599197 | 0.000953 | 11,794.707626 | 162.938621 | 2,250 | 7.241716 | 2,250 | 7.241716 | 36.896614 | 12.836791 | 36.98747 | 12.868401 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 216.29483 | 18,927.494342 | 0.000992 | 18,937.11465 | 261.607785 | 2,250 | 11.627013 | 2,250 | 11.627013 | 45.638133 | 15.878074 | 46.080721 | 16.032056 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 306.31662 | 26,741.173435 | 0.000654 | 26,743.570112 | 369.450483 | 2,250 | 16.420021 | 2,250 | 16.420021 | 63.121138 | 21.960629 | 63.810044 | 22.200308 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 487.640472 | 33,594.016985 | 0.000388 | 33,598.523763 | 464.148607 | 2,250 | 20.628827 | 2,250 | 20.628827 | 98.087148 | 34.125739 | 99.413393 | 34.587156 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 839.254608 | 38,998.845186 | 0.000699 | 39,044.170484 | 539.377786 | 2,250 | 23.972346 | 2,250 | 23.972346 | 168.019168 | 58.455959 | 170.653647 | 59.372527 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 283.398186 | 98.597755 | 283.753054 | 98.721218 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 267.69 GiB of which 2.76 GiB is free. Including non-PyTorch memory, this process has 264.91 GiB memory in use. Of the allocated memory 263.94 GiB is allocated by PyTorch, and 158.43 MiB is reserved by PyTorch but unallocated. If reserved but ... |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.525663 | 97.08886 | 24.717033 | 97.84643 | null | CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 43.69 MiB is free. Including non-PyTorch memory, this process has 23.47 GiB memory in use. Of the allocated memory 22.84 GiB is allocated by PyTorch, and 178.50 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.525663 | 97.08886 | 24.717033 | 97.84643 | null | CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 43.69 MiB is free. Including non-PyTorch memory, this process has 23.47 GiB memory in use. Of the allocated memory 22.84 GiB is allocated by PyTorch, and 178.50 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.940689 | 97.837264 | 33.021755 | 98.078039 | null | CUDA out of memory. Tried to allocate 34.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 9.88 MiB is free. Including non-PyTorch memory, this process has 31.34 GiB memory in use. Of the allocated memory 30.68 GiB is allocated by PyTorch, and 73.31 MiB is reserved by PyTorch but unallocated. If reserved but una... |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.940689 | 97.837264 | 33.021755 | 98.078039 | null | CUDA out of memory. Tried to allocate 34.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 9.88 MiB is free. Including non-PyTorch memory, this process has 31.34 GiB memory in use. Of the allocated memory 30.68 GiB is allocated by PyTorch, and 73.31 MiB is reserved by PyTorch but unallocated. If reserved but una... |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 130.728302 | 15,657.6109 | 0.000719 | 15,666.079714 | 216.419898 | 989.5 | 21.871642 | 989.5 | 21.871642 | 36.946684 | 43.457743 | 37.050384 | 43.579719 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 207.701263 | 19,718.935475 | 0.000717 | 19,720.631124 | 272.431716 | 989.5 | 27.53226 | 989.5 | 27.53226 | 45.688203 | 53.739767 | 46.101692 | 54.226125 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 360.545395 | 22,708.962784 | 0.001196 | 22,721.133361 | 313.882315 | 989.5 | 31.721305 | 989.5 | 31.721305 | 63.171208 | 74.303776 | 63.831015 | 75.07986 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.983931 | 98.784295 | 84.083212 | 98.901072 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 138.19 MiB is free. Including non-PyTorch memory, this process has 79.04 GiB memory in use. Of the allocated memory 78.22 GiB is allocated by PyTorch, and 94.68 MiB is reserved by PyTorch but unallocated. If reserved but ... |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 131.020737 | 15,631.347471 | 0.00067 | 15,631.113453 | 215.936855 | 989.5 | 21.822825 | 989.5 | 21.822825 | 36.946684 | 43.457743 | 37.050384 | 43.579719 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 207.875755 | 19,701.283733 | 0.000255 | 19,704.077534 | 272.203035 | 989.5 | 27.50915 | 989.5 | 27.50915 | 45.688203 | 53.739767 | 46.101692 | 54.226125 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 360.952469 | 22,697.636415 | 0.000804 | 22,695.508984 | 313.528325 | 989.5 | 31.685531 | 989.5 | 31.685531 | 63.171208 | 74.303776 | 63.831015 | 75.07986 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.983931 | 98.784295 | 84.083212 | 98.901072 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 138.19 MiB is free. Including non-PyTorch memory, this process has 79.04 GiB memory in use. Of the allocated memory 78.22 GiB is allocated by PyTorch, and 94.68 MiB is reserved by PyTorch but unallocated. If reserved but ... |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 120.367725 | 17,012.251256 | 0.000975 | 17,014.52772 | 235.048105 | 989.5 | 23.75423 | 989.5 | 23.75423 | 36.946684 | 24.611309 | 37.050384 | 24.680387 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 191.283508 | 21,408.808375 | 0.002064 | 21,413.241718 | 295.814375 | 989.5 | 29.895339 | 989.5 | 29.895339 | 45.688203 | 30.4343 | 46.101692 | 30.709738 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 338.888794 | 24,162.339248 | 0.002098 | 24,173.121526 | 333.940883 | 989.5 | 33.748447 | 989.5 | 33.748447 | 63.171208 | 42.080261 | 63.831015 | 42.519779 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 632.30246 | 25,903.655174 | 0.003845 | 25,911.649952 | 357.957877 | 989.5 | 36.175632 | 989.5 | 36.175632 | 98.137218 | 65.372183 | 99.455336 | 66.250222 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.322984 | 98.802447 | 148.48675 | 98.911537 | null | CUDA out of memory. Tried to allocate 864.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 827.44 MiB is free. Including non-PyTorch memory, this process has 138.99 GiB memory in use. Of the allocated memory 138.14 GiB is allocated by PyTorch, and 136.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 119.87315 | 17,080.92852 | 0.000833 | 17,084.726665 | 236.017872 | 989.5 | 23.852236 | 989.5 | 23.852236 | 36.946684 | 24.611309 | 37.050384 | 24.680387 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 190.607826 | 21,484.299025 | 0.001684 | 21,489.149113 | 296.863002 | 989.5 | 30.001314 | 989.5 | 30.001314 | 45.688203 | 30.4343 | 46.101692 | 30.709738 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 337.672592 | 24,279.369903 | 0.002858 | 24,260.186317 | 335.143644 | 989.5 | 33.869999 | 989.5 | 33.869999 | 63.171208 | 42.080261 | 63.831015 | 42.519779 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 630.085724 | 26,013.991789 | 0.00305 | 26,002.811013 | 359.217226 | 989.5 | 36.302903 | 989.5 | 36.302903 | 98.137218 | 65.372183 | 99.455336 | 66.250222 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.322984 | 98.802447 | 148.48675 | 98.911537 | null | CUDA out of memory. Tried to allocate 864.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 827.44 MiB is free. Including non-PyTorch memory, this process has 138.99 GiB memory in use. Of the allocated memory 138.14 GiB is allocated by PyTorch, and 136.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 399.42926 | 5,128.708184 | 0.002722 | 5,127.315907 | 70.83158 | 364.2 | 19.448539 | 451.433533 | 15.690368 | 36.896614 | 72.521432 | 36.98747 | 72.700011 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 718.65155 | 5,698.833011 | 0.001459 | 5,699.563298 | 78.736923 | 364.2 | 21.619144 | 451.433533 | 17.441532 | 45.638133 | 89.703157 | 46.080721 | 90.573076 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 50.219518 | 98.708009 | 50.289705 | 98.845964 | null | CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 34.50 MiB is free. Process 2308332 has 47.34 GiB memory in use. Of the allocated memory 46.77 GiB is allocated by PyTorch, and 66.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 398.952103 | 5,131.670604 | 0.001799 | 5,133.448317 | 70.916297 | 364.2 | 19.4718 | 451.433533 | 15.709134 | 36.896614 | 72.521432 | 36.98747 | 72.700011 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 719.957245 | 5,679.662317 | 0.008076 | 5,689.226727 | 78.594128 | 364.2 | 21.579936 | 451.433533 | 17.4099 | 45.638133 | 89.703157 | 46.080721 | 90.573076 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 50.219518 | 98.708009 | 50.289705 | 98.845964 | null | CUDA out of memory. Tried to allocate 68.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 34.50 MiB is free. Process 2312978 has 47.34 GiB memory in use. Of the allocated memory 46.77 GiB is allocated by PyTorch, and 66.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 562.394745 | 3,642.099405 | 0.001708 | 3,641.5703 | 50.306668 | 154.8 | 32.497848 | 180.6 | 27.855298 | 36.896614 | 72.298201 | 36.98747 | 72.47623 | FLASH_ATTENTION | null |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 926.871887 | 4,418.955567 | 0.000553 | 4,419.165212 | 61.048795 | 154.8 | 39.437206 | 180.6 | 33.803319 | 45.638133 | 89.427037 | 46.080721 | 90.294279 | FLASH_ATTENTION | null |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.558732 | 99.068856 | 50.625249 | 99.199195 | null | CUDA out of memory. Tried to allocate 108.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 52.25 MiB is free. Process 1348507 has 47.47 GiB memory in use. Of the allocated memory 47.09 GiB is allocated by PyTorch, and 63.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 562.186646 | 3,642.66192 | 0.001622 | 3,642.918266 | 50.32529 | 154.8 | 32.509877 | 180.6 | 27.865609 | 36.896614 | 72.298201 | 36.98747 | 72.47623 | FLASH_ATTENTION | null |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 928.17569 | 4,413.239691 | 0.000924 | 4,412.957639 | 60.96304 | 154.8 | 39.381809 | 180.6 | 33.755836 | 45.638133 | 89.427037 | 46.080721 | 90.294279 | FLASH_ATTENTION | null |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.558732 | 99.068856 | 50.625249 | 99.199195 | null | CUDA out of memory. Tried to allocate 108.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 52.25 MiB is free. Process 1380474 has 47.47 GiB memory in use. Of the allocated memory 47.09 GiB is allocated by PyTorch, and 63.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 198.953697 | 10,294.089719 | 0.000234 | 10,293.852433 | 142.204976 | 468 | 30.385679 | 468 | 30.385679 | 36.896614 | 36.182392 | 36.98747 | 36.271489 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 314.201477 | 13,034.177231 | 0.000389 | 13,036.221339 | 180.089578 | 468 | 38.480679 | 468 | 38.480679 | 45.638133 | 44.754698 | 46.080721 | 45.188718 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 581.683228 | 14,081.615179 | 0.000386 | 14,083.266651 | 194.554042 | 468 | 41.571376 | 468 | 41.571376 | 63.121138 | 61.899277 | 63.810044 | 62.574847 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 1,118.369446 | 14,649.772871 | 0.000319 | 14,649.899514 | 202.381822 | 468 | 43.243979 | 468 | 43.243979 | 98.087148 | 96.188436 | 99.413393 | 97.489009 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.995103 | 99.0401 | 101.133058 | 99.175385 | null | CUDA out of memory. Tried to allocate 320.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 311.75 MiB is free. Including non-PyTorch memory, this process has 94.66 GiB memory in use. Of the allocated memory 93.90 GiB is allocated by PyTorch, and 111.56 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 202.676064 | 10,106.433685 | 0.007669 | 10,104.794638 | 139.593227 | 468 | 29.827613 | 468 | 29.827613 | 36.896614 | 36.182392 | 36.966498 | 36.250923 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 313.797928 | 13,050.877435 | 0.000175 | 13,052.98613 | 180.321177 | 468 | 38.530166 | 468 | 38.530166 | 45.638133 | 44.754698 | 46.059749 | 45.168152 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 581.124878 | 14,096.179487 | 0.000329 | 14,096.797971 | 194.740971 | 468 | 41.611319 | 468 | 41.611319 | 63.121138 | 61.899277 | 63.789072 | 62.554282 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 1,118.855774 | 14,643.047075 | 0.000215 | 14,643.531706 | 202.293854 | 468 | 43.225182 | 468 | 43.225182 | 98.087148 | 96.188436 | 99.413393 | 97.489009 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.995103 | 99.0401 | 101.133058 | 99.175385 | null | CUDA out of memory. Tried to allocate 320.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 293.75 MiB is free. Including non-PyTorch memory, this process has 94.68 GiB memory in use. Of the allocated memory 93.90 GiB is allocated by PyTorch, and 131.56 MiB is reserved by PyTorch but unallocated. If reserved but... |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 487.397903 | 8,402.26036 | 0.001889 | 8,403.811282 | 130.89912 | 312 | 41.954846 | 312 | 41.954846 | 45.653101 | 53.725812 | 45.820674 | 53.923017 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 889.27655 | 9,184.348916 | 0.003335 | 9,211.982479 | 143.487325 | 312 | 45.989527 | 312 | 45.989527 | 63.136458 | 74.300704 | 63.875056 | 75.169905 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.29431 | 99.19984 | 84.418757 | 99.346292 | null | CUDA out of memory. Tried to allocate 160.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 84.75 MiB is free. Process 764857 has 79.05 GiB memory in use. Of the allocated memory 78.43 GiB is allocated by PyTorch, and 118.68 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 486.93959 | 8,409.476194 | 0.00127 | 8,411.721044 | 131.022324 | 312 | 41.994334 | 312 | 41.994334 | 45.653101 | 53.725812 | 45.820674 | 53.923017 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 889.240814 | 9,187.898491 | 0.00389 | 9,212.352682 | 143.493091 | 312 | 45.991375 | 312 | 45.991375 | 63.136458 | 74.300704 | 63.875056 | 75.169905 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.29431 | 99.19984 | 84.418757 | 99.346292 | null | CUDA out of memory. Tried to allocate 160.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 84.75 MiB is free. Process 852916 has 79.05 GiB memory in use. Of the allocated memory 78.43 GiB is allocated by PyTorch, and 118.68 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 479.3228 | 34,101.834758 | 0.000765 | 34,181.557837 | 532.417458 | 2,250 | 23.662998 | 2,250 | 23.662998 | 98.103108 | 51.227972 | 99.40081 | 51.905613 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 895.848572 | 36,582.438766 | 0.000964 | 36,577.61036 | 569.738758 | 2,250 | 25.321723 | 2,250 | 25.321723 | 168.036408 | 87.746093 | 170.645258 | 89.108396 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.211227 | 99.325451 | 190.339613 | 99.392493 | null | CUDA out of memory. Tried to allocate 640.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 575.81 MiB is free. Including non-PyTorch memory, this process has 177.78 GiB memory in use. Of the allocated memory 176.84 GiB is allocated by PyTorch, and 122.44 MiB is reserved by PyTorch but unallocated. If reserved ... |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 477.521881 | 34,295.993585 | 0.000267 | 34,310.469632 | 534.425409 | 2,250 | 23.75224 | 2,250 | 23.75224 | 98.103108 | 51.227972 | 99.40081 | 51.905613 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 895.095459 | 36,612.176275 | 0.000943 | 36,608.385923 | 570.218123 | 2,250 | 25.343028 | 2,250 | 25.343028 | 168.036408 | 87.746093 | 170.645258 | 89.108396 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.211227 | 99.325451 | 190.339613 | 99.392493 | null | CUDA out of memory. Tried to allocate 640.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 575.81 MiB is free. Including non-PyTorch memory, this process has 177.78 GiB memory in use. Of the allocated memory 176.84 GiB is allocated by PyTorch, and 122.44 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 536.36264 | 30,545.409791 | 0.000506 | 30,546.4974 | 475.79717 | 2,250 | 21.146541 | 2,250 | 21.146541 | 98.103108 | 34.131292 | 99.40081 | 34.582779 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 932.958344 | 35,109.236186 | 0.0006 | 35,122.682838 | 547.076572 | 2,250 | 24.314514 | 2,250 | 24.314514 | 168.036408 | 58.461957 | 170.645258 | 59.369608 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 283.412866 | 98.602862 | 283.667071 | 98.691303 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 267.69 GiB of which 2.77 GiB is free. Including non-PyTorch memory, this process has 264.91 GiB memory in use. Of the allocated memory 263.95 GiB is allocated by PyTorch, and 142.43 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 536.692108 | 30,509.954783 | 0.000926 | 30,527.745333 | 475.505085 | 2,250 | 21.133559 | 2,250 | 21.133559 | 98.103108 | 34.131292 | 99.40081 | 34.582779 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 933.140015 | 35,105.825113 | 0.00067 | 35,115.844874 | 546.970063 | 2,250 | 24.309781 | 2,250 | 24.309781 | 168.036408 | 58.461957 | 170.645258 | 59.369608 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 283.412866 | 98.602862 | 283.667071 | 98.691303 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 267.69 GiB of which 2.77 GiB is free. Including non-PyTorch memory, this process has 264.91 GiB memory in use. Of the allocated memory 263.95 GiB is allocated by PyTorch, and 142.43 MiB is reserved by PyTorch but unallocated. If reserved but ... |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 222.812256 | 18,379.933697 | 0.000751 | 18,383.189848 | 286.33953 | 989.5 | 28.9378 | 989.5 | 28.9378 | 45.70317 | 53.757372 | 45.862617 | 53.944918 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 388.628693 | 21,080.617466 | 0.000618 | 21,079.246477 | 328.333743 | 989.5 | 33.181783 | 989.5 | 33.181783 | 63.186528 | 74.321796 | 63.896027 | 75.156329 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.998611 | 98.801562 | 84.125155 | 98.950406 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 98.19 MiB is free. Including non-PyTorch memory, this process has 79.07 GiB memory in use. Of the allocated memory 78.23 GiB is allocated by PyTorch, and 120.68 MiB is reserved by PyTorch but unallocated. If reserved but ... |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 222.894623 | 18,375.345274 | 0.000899 | 18,376.396651 | 286.233718 | 989.5 | 28.927106 | 989.5 | 28.927106 | 45.70317 | 53.757372 | 45.862617 | 53.944918 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 388.913177 | 21,066.819874 | 0.000366 | 21,063.827286 | 328.093571 | 989.5 | 33.157511 | 989.5 | 33.157511 | 63.186528 | 74.321796 | 63.896027 | 75.156329 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.998611 | 98.801562 | 84.125155 | 98.950406 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 98.19 MiB is free. Including non-PyTorch memory, this process has 79.07 GiB memory in use. Of the allocated memory 78.23 GiB is allocated by PyTorch, and 120.68 MiB is reserved by PyTorch but unallocated. If reserved but ... |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 364.79509 | 22,447.00833 | 0.002786 | 22,456.442619 | 349.785172 | 989.5 | 35.349689 | 989.5 | 35.349689 | 63.186528 | 42.090466 | 63.883444 | 42.554704 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 684.656342 | 23,933.859936 | 0.002708 | 23,930.253772 | 372.741492 | 989.5 | 37.669681 | 989.5 | 37.669681 | 98.153178 | 65.382815 | 99.514057 | 66.289337 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.337664 | 98.812226 | 148.524499 | 98.936682 | null | CUDA out of memory. Tried to allocate 864.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 793.44 MiB is free. Including non-PyTorch memory, this process has 139.03 GiB memory in use. Of the allocated memory 138.15 GiB is allocated by PyTorch, and 158.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 366.327682 | 22,360.933086 | 0.00307 | 22,362.492357 | 348.321788 | 989.5 | 35.201798 | 989.5 | 35.201798 | 63.186528 | 42.090466 | 63.883444 | 42.554704 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 686.082855 | 23,901.663806 | 0.002412 | 23,880.497633 | 371.966483 | 989.5 | 37.591358 | 989.5 | 37.591358 | 98.153178 | 65.382815 | 99.514057 | 66.289337 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.337664 | 98.812226 | 148.524499 | 98.936682 | null | CUDA out of memory. Tried to allocate 864.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 793.44 MiB is free. Including non-PyTorch memory, this process has 139.03 GiB memory in use. Of the allocated memory 138.15 GiB is allocated by PyTorch, and 158.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 743.464508 | 5,507.223501 | 0.002405 | 5,509.341678 | 85.814395 | 364.2 | 23.562437 | 451.433533 | 19.009309 | 45.653101 | 89.732575 | 45.820674 | 90.061946 | FLASH_ATTENTION | null |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 50.150312 | 98.571983 | 50.291802 | 98.850086 | null | CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 32.50 MiB is free. Process 2319972 has 47.34 GiB memory in use. Of the allocated memory 46.71 GiB is allocated by PyTorch, and 134.94 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 968.714935 | 4,229.027514 | 0.000794 | 4,228.282078 | 65.860404 | 154.8 | 42.54548 | 180.6 | 36.467555 | 45.653101 | 89.456366 | 45.820674 | 89.784723 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.34692 | 98.653814 | 50.501517 | 98.956744 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 170.25 MiB is free. Process 1415479 has 47.36 GiB memory in use. Of the allocated memory 46.89 GiB is allocated by PyTorch, and 147.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
a6000_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 968.80426 | 4,227.554988 | 0.000891 | 4,227.892226 | 65.854331 | 154.8 | 42.541558 | 180.6 | 36.464192 | 45.653101 | 89.456366 | 45.820674 | 89.784723 | FLASH_ATTENTION | null |
a6000_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.34692 | 98.653814 | 50.501517 | 98.956744 | null | CUDA out of memory. Tried to allocate 216.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 170.25 MiB is free. Process 1449495 has 47.36 GiB memory in use. Of the allocated memory 46.89 GiB is allocated by PyTorch, and 147.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
rtxpro6000_server_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 607.199188 | 13,489.822479 | 0.000215 | 13,491.454137 | 210.145066 | 468 | 44.902792 | 468 | 44.902792 | 63.136458 | 61.914301 | 63.841501 | 62.605696 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 1,166.950745 | 14,039.112298 | 0.000241 | 14,040.009894 | 218.689458 | 468 | 46.728517 | 468 | 46.728517 | 98.103108 | 96.204087 | 99.451142 | 97.526027 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 2b | 2B | 2,008,824,320 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.842011 | 98.889972 | 101.149835 | 99.191838 | null | CUDA out of memory. Tried to allocate 160.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 135.75 MiB is free. Including non-PyTorch memory, this process has 94.83 GiB memory in use. Of the allocated memory 93.92 GiB is allocated by PyTorch, and 273.56 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtxpro6000_server_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 607.798309 | 13,478.358453 | 0.000875 | 13,478.155293 | 209.937921 | 468 | 44.85853 | 468 | 44.85853 | 63.302249 | 62.076882 | 69.319262 | 67.977422 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 2b | 2B | 2,008,824,320 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 98.272947 | 96.370638 | 100.828971 | 98.877184 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 94.97 GiB of which 1.39 GiB is free. Including non-PyTorch memory, this process has 93.57 GiB memory in use. Of the allocated memory 89.57 GiB is allocated by PyTorch, and 3.36 GiB is reserved by PyTorch but unallocated. If reserved but unall... |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 2b | 2B | 2,008,824,320 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 991.440002 | 8,263.153193 | 0.000643 | 8,262.72894 | 157.812972 | 312 | 50.581081 | 312 | 50.581081 | 63.166073 | 74.335555 | 63.346573 | 74.547973 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 2b | 2B | 2,008,824,320 | 8,192 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.239784 | 99.135672 | 84.374716 | 99.294465 | null | CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 46.75 MiB is free. Process 764857 has 79.08 GiB memory in use. Of the allocated memory 78.45 GiB is allocated by PyTorch, and 128.68 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 2b | 2B | 2,008,824,320 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 991.055878 | 8,267.125943 | 0.000713 | 8,265.931502 | 157.874139 | 312 | 50.600686 | 312 | 50.600686 | 63.166073 | 74.335555 | 63.346573 | 74.547973 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 2b | 2B | 2,008,824,320 | 8,192 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.239784 | 99.135672 | 84.374716 | 99.294465 | null | CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 46.75 MiB is free. Process 852916 has 79.08 GiB memory in use. Of the allocated memory 78.45 GiB is allocated by PyTorch, and 128.68 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 578.444031 | 28,296.080615 | 0.001109 | 28,324.261517 | 540.975739 | 2,250 | 24.043366 | 2,250 | 24.043366 | 98.133108 | 51.243638 | 99.428073 | 51.91985 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 1,089.906677 | 30,054.680033 | 0.000874 | 30,064.959399 | 574.221983 | 2,250 | 25.520977 | 2,250 | 25.520977 | 168.067048 | 87.762093 | 170.693493 | 89.133583 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 2b | 2B | 2,008,824,320 | 8,192 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.240587 | 99.340783 | 190.368973 | 99.407824 | null | CUDA out of memory. Tried to allocate 640.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 547.81 MiB is free. Including non-PyTorch memory, this process has 177.80 GiB memory in use. Of the allocated memory 176.86 GiB is allocated by PyTorch, and 122.44 MiB is reserved by PyTorch but unallocated. If reserved ... |
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