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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 16 | 20 | 1,576.101501 | 41,050.371921 | 0.042887 | 41,581.078337 | 100.317224 | 312 | 32.152956 | 312 | 32.152956 | 81.908103 | 96.391686 | 82.178998 | 96.710484 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 457.325241 | 143,269.04496 | 0.000321 | 143,302.827204 | 345.727971 | 2,250 | 15.365688 | 2,250 | 15.365688 | 81.908103 | 42.771183 | 86.564143 | 45.202498 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 8,192 | 16 | 131,072 | complete | true | 11 | 20 | 888.055939 | 147,581.276205 | 0.000232 | 147,594.30604 | 356.08146 | 2,250 | 15.825843 | 2,250 | 15.825843 | 161.67203 | 84.42271 | 170.93886 | 89.26171 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 8,192 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.317491 | 99.380941 | 190.469636 | 99.460389 | null | CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 173.81 MiB is free. Including non-PyTorch memory, this process has 178.17 GiB memory in use. Of the allocated memory 177.25 GiB is allocated by PyTorch, and 105.10 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 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 458.483795 | 143,008.922176 | 0.001423 | 142,940.711735 | 344.854343 | 2,250 | 15.32686 | 2,250 | 15.32686 | 81.908103 | 42.771183 | 86.564143 | 45.202498 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 150m | 150M | 150,436,608 | 8,192 | 16 | 131,072 | complete | true | 11 | 20 | 887.998138 | 147,585.659799 | 0.000115 | 147,603.913035 | 356.104638 | 2,250 | 15.826873 | 2,250 | 15.826873 | 161.67203 | 84.42271 | 170.93886 | 89.26171 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 150m | 150M | 150,436,608 | 8,192 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.317491 | 99.380941 | 190.469636 | 99.460389 | null | CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 173.81 MiB is free. Including non-PyTorch memory, this process has 178.17 GiB memory in use. Of the allocated memory 177.25 GiB is allocated by PyTorch, and 105.10 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 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 453.201523 | 144,603.823514 | 0.0004 | 144,606.75152 | 348.873779 | 2,250 | 15.505501 | 2,250 | 15.505501 | 81.908103 | 28.496848 | 86.564143 | 30.116742 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 150m | 150M | 150,436,608 | 8,192 | 16 | 131,072 | complete | true | 11 | 20 | 873.831482 | 149,996.113552 | 0.000135 | 149,996.884651 | 361.877847 | 2,250 | 16.08346 | 2,250 | 16.08346 | 161.67203 | 56.24771 | 170.93886 | 59.471756 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 150m | 150M | 150,436,608 | 8,192 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 270.874378 | 94.240566 | 273.003053 | 94.981159 | null | CUDA out of memory. Tried to allocate 31.25 GiB. GPU 0 has a total capacity of 267.69 GiB of which 14.42 GiB is free. Including non-PyTorch memory, this process has 253.26 GiB memory in use. Of the allocated memory 252.27 GiB is allocated by PyTorch, and 170.06 MiB is reserved by PyTorch but unallocated. If reserved bu... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 453.178024 | 144,625.289706 | 0.000198 | 144,614.249781 | 348.891869 | 2,250 | 15.506305 | 2,250 | 15.506305 | 81.908103 | 28.496848 | 86.564143 | 30.116742 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 150m | 150M | 150,436,608 | 8,192 | 16 | 131,072 | complete | true | 11 | 20 | 873.805969 | 149,982.802342 | 0.000103 | 150,001.264141 | 361.888413 | 2,250 | 16.083929 | 2,250 | 16.083929 | 161.67203 | 56.24771 | 170.93886 | 59.471756 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 150m | 150M | 150,436,608 | 8,192 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 270.874378 | 94.240566 | 273.003053 | 94.981159 | null | CUDA out of memory. Tried to allocate 31.25 GiB. GPU 0 has a total capacity of 267.69 GiB of which 14.42 GiB is free. Including non-PyTorch memory, this process has 253.26 GiB memory in use. Of the allocated memory 252.27 GiB is allocated by PyTorch, and 170.06 MiB is reserved by PyTorch but unallocated. If reserved bu... |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 179.481773 | 45,621.105285 | 0.001215 | 45,642.517599 | 110.115727 | 165.2 | 66.656009 | 205.516667 | 53.57995 | 12.114601 | 47.957634 | 12.180259 | 48.217552 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 373.423416 | 43,758.795493 | 0.001417 | 43,875.127515 | 105.851776 | 165.2 | 64.074925 | 205.516667 | 51.505203 | 22.085157 | 87.427717 | 23.30565 | 92.259238 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 179.586075 | 45,623.298437 | 0.001322 | 45,616.008968 | 110.051773 | 165.2 | 66.617296 | 205.516667 | 53.548831 | 12.114601 | 47.957634 | 12.180259 | 48.217552 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 373.306412 | 43,884.125376 | 0.00034 | 43,888.879174 | 105.884953 | 165.2 | 64.095008 | 205.516667 | 51.521346 | 22.085157 | 87.427717 | 23.30565 | 92.259238 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 130.830513 | 62,605.331116 | 0.000821 | 62,615.362518 | 151.063888 | 209.5 | 72.106868 | 268.946822 | 56.168683 | 12.114601 | 35.981621 | 12.180259 | 36.176632 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 240.276749 | 68,169.22046 | 0.000631 | 68,188.037717 | 164.508352 | 209.5 | 78.524273 | 268.946822 | 61.167613 | 22.085157 | 65.595208 | 23.263707 | 69.095623 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 150m | 150M | 150,436,608 | 8,192 | 4 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 31.642059 | 93.980196 | 31.750881 | 94.303411 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 31.36 GiB of which 1.29 GiB is free. Including non-PyTorch memory, this process has 30.06 GiB memory in use. Of the allocated memory 29.38 GiB is allocated by PyTorch, and 99.78 MiB is reserved by PyTorch but unallocated. If reserved but unal... |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 131.337402 | 62,358.140625 | 0.000395 | 62,373.702036 | 150.480865 | 209.5 | 71.828575 | 268.946822 | 55.951903 | 12.114601 | 35.981621 | 12.180259 | 36.176632 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 241.028145 | 67,976.428463 | 0.000379 | 67,975.464073 | 163.995503 | 209.5 | 78.279477 | 268.946822 | 60.976926 | 22.085157 | 65.595208 | 23.263707 | 69.095623 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 150m | 150M | 150,436,608 | 8,192 | 4 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 31.642059 | 93.980196 | 31.750881 | 94.303411 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 31.36 GiB of which 1.29 GiB is free. Including non-PyTorch memory, this process has 30.06 GiB memory in use. Of the allocated memory 29.38 GiB is allocated by PyTorch, and 99.78 MiB is reserved by PyTorch but unallocated. If reserved but unal... |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 166.304382 | 98,511.919586 | 0.000792 | 98,518.149498 | 237.681842 | 989.5 | 24.020398 | 989.5 | 24.020398 | 22.135227 | 26.036085 | 23.303553 | 27.410304 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 310.344894 | 105,574.985636 | 0.00059 | 105,585.755043 | 254.732929 | 989.5 | 25.743601 | 989.5 | 25.743601 | 42.076209 | 49.491236 | 44.472205 | 52.309476 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 671.887543 | 97,386.001414 | 0.005273 | 97,540.132586 | 235.322309 | 989.5 | 23.781941 | 989.5 | 23.781941 | 81.958172 | 96.401539 | 82.682315 | 97.253296 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 166.530495 | 98,365.303155 | 0.001454 | 98,384.383176 | 237.359122 | 989.5 | 23.987784 | 989.5 | 23.987784 | 22.135227 | 26.036085 | 23.303553 | 27.410304 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 310.697128 | 105,433.767223 | 0.000791 | 105,466.053644 | 254.444141 | 989.5 | 25.714415 | 989.5 | 25.714415 | 42.076209 | 49.491236 | 44.472205 | 52.309476 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 676.264526 | 96,452.497643 | 0.010448 | 96,908.824054 | 233.799233 | 989.5 | 23.628018 | 989.5 | 23.628018 | 81.958172 | 96.401539 | 82.682315 | 97.253296 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 285.225479 | 114,881.327327 | 0.000234 | 114,884.547132 | 277.166907 | 989.5 | 28.010804 | 989.5 | 28.010804 | 42.076209 | 28.028241 | 44.384125 | 29.565614 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 548.371674 | 119,347.246785 | 0.001314 | 119,510.18471 | 288.326577 | 989.5 | 29.138613 | 989.5 | 29.138613 | 81.958172 | 54.594829 | 86.708847 | 57.759398 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 8,192 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 136.559346 | 90.96633 | 137.334096 | 91.482415 | null | CUDA out of memory. Tried to allocate 15.62 GiB. GPU 0 has a total capacity of 139.81 GiB of which 11.82 GiB is free. Including non-PyTorch memory, this process has 127.98 GiB memory in use. Of the allocated memory 127.18 GiB is allocated by PyTorch, and 78.86 MiB is reserved by PyTorch but unallocated. If reserved but... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 285.74707 | 114,669.993665 | 0.000257 | 114,674.84151 | 276.660978 | 989.5 | 27.959674 | 989.5 | 27.959674 | 42.076209 | 28.028241 | 44.384125 | 29.565614 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 8,192 | 8 | 65,536 | complete | true | 11 | 20 | 548.393707 | 119,501.556465 | 0.001564 | 119,505.382959 | 288.314993 | 989.5 | 29.137442 | 989.5 | 29.137442 | 81.958172 | 54.594829 | 86.708847 | 57.759398 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 8,192 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 136.559346 | 90.96633 | 137.334096 | 91.482415 | null | CUDA out of memory. Tried to allocate 15.62 GiB. GPU 0 has a total capacity of 139.81 GiB of which 11.82 GiB is free. Including non-PyTorch memory, this process has 127.98 GiB memory in use. Of the allocated memory 127.18 GiB is allocated by PyTorch, and 78.86 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 179.212433 | 45,792.817871 | 0.002888 | 45,711.114286 | 110.281221 | 364.2 | 30.280401 | 451.433533 | 24.429116 | 12.114601 | 23.811621 | 12.180259 | 23.940674 | FLASH_ATTENTION | null |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 372.072205 | 43,979.65664 | 0.005488 | 44,034.463736 | 106.236186 | 364.2 | 29.169738 | 451.433533 | 23.533074 | 22.085157 | 43.409057 | 23.30565 | 45.807973 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 576.96225 | 28,393.963327 | 0.001003 | 28,397.005189 | 68.509737 | 154.8 | 44.256936 | 180.6 | 37.934517 | 22.085157 | 43.275438 | 23.26161 | 45.580674 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 1,117.575256 | 29,315.336822 | 0.000819 | 29,320.620525 | 70.738023 | 154.8 | 45.696397 | 180.6 | 39.16834 | 42.026139 | 82.349405 | 44.451234 | 87.101331 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 8,192 | 8 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.418121 | 98.79333 | 50.644124 | 99.236179 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 156.25 MiB is free. Process 1415479 has 47.37 GiB memory in use. Of the allocated memory 46.96 GiB is allocated by PyTorch, and 95.53 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large... |
a6000_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 576.237274 | 28,432.226086 | 0.001094 | 28,432.732026 | 68.59593 | 154.8 | 44.312617 | 180.6 | 37.982243 | 22.085157 | 43.275438 | 23.26161 | 45.580674 | FLASH_ATTENTION | null |
a6000_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 1,116.396301 | 29,342.341292 | 0.001281 | 29,351.584167 | 70.812725 | 154.8 | 45.744654 | 180.6 | 39.209704 | 42.026139 | 82.349405 | 44.451234 | 87.101331 | FLASH_ATTENTION | null |
a6000_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 8,192 | 8 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.418121 | 98.79333 | 50.644124 | 99.236179 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 156.25 MiB is free. Process 1449495 has 47.37 GiB memory in use. Of the allocated memory 46.96 GiB is allocated by PyTorch, and 95.53 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large... |
rtxpro6000_server_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 107.680721 | 76,049.373832 | 0.000615 | 76,076.756381 | 183.540431 | 468 | 39.218041 | 468 | 39.218041 | 12.114601 | 11.880094 | 12.180259 | 11.944481 | 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 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 195.4105 | 83,809.704151 | 0.000318 | 83,844.010613 | 202.279468 | 468 | 43.222109 | 468 | 43.222109 | 22.085157 | 21.657646 | 23.263707 | 22.813382 | 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 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 416.167084 | 78,729.713691 | 0.000184 | 78,737.606313 | 189.959915 | 468 | 40.589725 | 468 | 40.589725 | 42.026139 | 41.212622 | 44.367348 | 43.508511 | 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 | 150m | 150M | 150,436,608 | 8,192 | 1 | 8,192 | complete | true | 11 | 20 | 107.853214 | 75,868.048564 | 0.000885 | 75,955.084472 | 183.246889 | 468 | 39.155318 | 468 | 39.155318 | 12.133338 | 11.898468 | 13.176406 | 12.921345 | 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 | 150m | 150M | 150,436,608 | 8,192 | 2 | 16,384 | complete | true | 11 | 20 | 195.892212 | 83,608.49327 | 0.000271 | 83,637.832459 | 201.782049 | 468 | 43.115822 | 468 | 43.115822 | 22.101133 | 21.673312 | 23.330816 | 22.879192 | 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 | 150m | 150M | 150,436,608 | 8,192 | 4 | 32,768 | complete | true | 11 | 20 | 416.618561 | 78,642.253259 | 0.000321 | 78,652.280728 | 189.754061 | 468 | 40.54574 | 468 | 40.54574 | 42.047604 | 41.233672 | 48.641343 | 47.699774 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 409.615875 | 39,986.172034 | 0.001087 | 39,998.449743 | 156.89466 | 312 | 50.28675 | 312 | 50.28675 | 22.106318 | 26.015317 | 22.215131 | 26.143371 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 807.028473 | 40,579.723759 | 0.002194 | 40,603.276217 | 159.267103 | 312 | 51.047148 | 312 | 51.047148 | 42.047751 | 49.482938 | 44.430262 | 52.286743 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 1,905.178284 | 34,372.028486 | 0.023762 | 34,398.880441 | 134.930246 | 312 | 43.246874 | 312 | 43.246874 | 81.930354 | 96.417873 | 82.745229 | 97.37684 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 410.234131 | 39,890.800577 | 0.00391 | 39,938.168883 | 156.658207 | 312 | 50.210964 | 312 | 50.210964 | 22.106318 | 26.015317 | 22.215131 | 26.143371 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 807.253204 | 40,612.380585 | 0.002118 | 40,591.972659 | 159.222765 | 312 | 51.032937 | 312 | 51.032937 | 42.047751 | 49.482938 | 44.430262 | 52.286743 | FLASH_ATTENTION | null |
a100_pcie_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 13 | 20 | 1,925.941284 | 34,038.169704 | 0.019514 | 34,028.036336 | 133.475603 | 312 | 42.780642 | 312 | 42.780642 | 81.930354 | 96.417873 | 82.745229 | 97.37684 | FLASH_ATTENTION | null |
b200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 645.397186 | 101,503.347058 | 0.000376 | 101,543.671701 | 398.306934 | 2,250 | 17.70253 | 2,250 | 17.70253 | 81.930354 | 42.782803 | 86.56624 | 45.203593 | FLASH_ATTENTION | null |
b200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 16,384 | 8 | 131,072 | complete | true | 11 | 20 | 1,258.432312 | 104,071.087835 | 0.000726 | 104,154.986128 | 408.549863 | 2,250 | 18.157772 | 2,250 | 18.157772 | 161.695561 | 84.434998 | 171.234558 | 89.416119 | FLASH_ATTENTION | null |
b200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 150m | 150M | 150,436,608 | 16,384 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.338528 | 99.391926 | 190.486413 | 99.46915 | null | CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 177.81 MiB is free. Including non-PyTorch memory, this process has 178.16 GiB memory in use. Of the allocated memory 177.27 GiB is allocated by PyTorch, and 81.03 MiB is reserved by PyTorch but unallocated. If reserved b... |
b200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 644.94577 | 101,630.478968 | 0.000769 | 101,614.745025 | 398.58572 | 2,250 | 17.714921 | 2,250 | 17.714921 | 81.930354 | 42.782803 | 86.56624 | 45.203593 | FLASH_ATTENTION | null |
b200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 150m | 150M | 150,436,608 | 16,384 | 8 | 131,072 | complete | true | 11 | 20 | 1,257.477173 | 104,230.608612 | 0.000174 | 104,234.0989 | 408.860184 | 2,250 | 18.171564 | 2,250 | 18.171564 | 161.695561 | 84.434998 | 171.234558 | 89.416119 | FLASH_ATTENTION | null |
b200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 150m | 150M | 150,436,608 | 16,384 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.338528 | 99.391926 | 190.486413 | 99.46915 | null | CUDA out of memory. Tried to allocate 192.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 177.81 MiB is free. Including non-PyTorch memory, this process has 178.16 GiB memory in use. Of the allocated memory 177.27 GiB is allocated by PyTorch, and 81.03 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 637.46109 | 102,789.777346 | 0.000443 | 102,807.84352 | 403.265671 | 2,250 | 17.922919 | 2,250 | 17.922919 | 81.930354 | 28.50459 | 86.56624 | 30.117472 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 150m | 150M | 150,436,608 | 16,384 | 8 | 131,072 | complete | true | 11 | 20 | 1,238.144653 | 105,860.797498 | 0.000145 | 105,861.620973 | 415.24417 | 2,250 | 18.455296 | 2,250 | 18.455296 | 161.695561 | 56.255897 | 171.234558 | 59.574633 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 150m | 150M | 150,436,608 | 16,384 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 270.897398 | 94.248575 | 272.432628 | 94.7827 | null | CUDA out of memory. Tried to allocate 31.25 GiB. GPU 0 has a total capacity of 267.69 GiB of which 14.40 GiB is free. Including non-PyTorch memory, this process has 253.27 GiB memory in use. Of the allocated memory 252.29 GiB is allocated by PyTorch, and 164.11 MiB is reserved by PyTorch but unallocated. If reserved bu... |
b300_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 637.437927 | 102,810.083473 | 0.000185 | 102,811.579291 | 403.280325 | 2,250 | 17.92357 | 2,250 | 17.92357 | 81.930354 | 28.50459 | 86.56624 | 30.117472 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 150m | 150M | 150,436,608 | 16,384 | 8 | 131,072 | complete | true | 11 | 20 | 1,238.460144 | 105,833.466729 | 0.000099 | 105,834.653324 | 415.138389 | 2,250 | 18.450595 | 2,250 | 18.450595 | 161.695561 | 56.255897 | 171.234558 | 59.574633 | FLASH_ATTENTION | null |
b300_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 150m | 150M | 150,436,608 | 16,384 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 270.897398 | 94.248575 | 272.432628 | 94.7827 | null | CUDA out of memory. Tried to allocate 31.25 GiB. GPU 0 has a total capacity of 267.69 GiB of which 14.40 GiB is free. Including non-PyTorch memory, this process has 253.27 GiB memory in use. Of the allocated memory 252.29 GiB is allocated by PyTorch, and 164.11 MiB is reserved by PyTorch but unallocated. If reserved bu... |
rtx4090_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 458.531662 | 35,733.986769 | 0.000676 | 35,731.447484 | 140.157265 | 165.2 | 84.840959 | 205.516667 | 68.197518 | 22.106318 | 87.511484 | 22.215131 | 87.942239 | FLASH_ATTENTION | null |
rtx4090_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.629966 | 97.501758 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 23.69 MiB is free. Including non-PyTorch memory, this process has 23.49 GiB memory in use. Of the allocated memory 22.94 GiB is allocated by PyTorch, and 99.03 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx4090_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 458.370285 | 35,747.353989 | 0.001277 | 35,744.02734 | 140.20661 | 165.2 | 84.870829 | 205.516667 | 68.221528 | 22.106318 | 87.511484 | 22.215131 | 87.942239 | FLASH_ATTENTION | null |
rtx4090_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.629966 | 97.501758 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 23.69 MiB is free. Including non-PyTorch memory, this process has 23.49 GiB memory in use. Of the allocated memory 22.94 GiB is allocated by PyTorch, and 99.03 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx5090_context_extension_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 306.294052 | 53,494.60504 | 0.001901 | 53,491.081157 | 209.819757 | 209.5 | 100.152629 | 268.946822 | 78.015332 | 22.106318 | 65.658057 | 22.215131 | 65.981244 | FLASH_ATTENTION | null |
rtx5090_context_extension_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 31.66303 | 94.042484 | 31.843156 | 94.577476 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 31.36 GiB of which 1.22 GiB is free. Including non-PyTorch memory, this process has 30.12 GiB memory in use. Of the allocated memory 29.39 GiB is allocated by PyTorch, and 147.78 MiB is reserved by PyTorch but unallocated. If reserved but una... |
rtx5090_context_extension_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 307.545532 | 53,288.200774 | 0.00295 | 53,273.412497 | 208.965948 | 209.5 | 99.745082 | 268.946822 | 77.697868 | 22.106318 | 65.658057 | 22.215131 | 65.981244 | FLASH_ATTENTION | null |
rtx5090_context_extension_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 31.66303 | 94.042484 | 31.843156 | 94.577476 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 31.36 GiB of which 1.22 GiB is free. Including non-PyTorch memory, this process has 30.12 GiB memory in use. Of the allocated memory 29.39 GiB is allocated by PyTorch, and 147.78 MiB is reserved by PyTorch but unallocated. If reserved but una... |
h100_sxm_context_16k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 213.235588 | 76,779.801914 | 0.000635 | 76,835.204423 | 301.387513 | 989.5 | 30.458566 | 989.5 | 30.458566 | 22.156387 | 26.060975 | 22.257074 | 26.179405 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 407.241867 | 80,455.773005 | 0.000755 | 80,463.239785 | 315.618549 | 989.5 | 31.896771 | 989.5 | 31.896771 | 42.09782 | 49.516656 | 44.430262 | 52.260141 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 864.524597 | 75,122.307236 | 0.00235 | 75,805.824629 | 297.349752 | 989.5 | 30.050505 | 989.5 | 30.050505 | 81.980424 | 96.427712 | 82.241913 | 96.735283 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 213.343872 | 76,652.924956 | 0.000531 | 76,796.206242 | 301.234542 | 989.5 | 30.443107 | 989.5 | 30.443107 | 22.156387 | 26.060975 | 22.257074 | 26.179405 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 407.590866 | 80,351.523812 | 0.000536 | 80,394.343265 | 315.348301 | 989.5 | 31.869459 | 989.5 | 31.869459 | 42.09782 | 49.516656 | 44.430262 | 52.260141 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 865.414795 | 75,326.956575 | 0.003423 | 75,727.847946 | 297.043887 | 989.5 | 30.019594 | 989.5 | 30.019594 | 81.980424 | 96.427712 | 82.241913 | 96.735283 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 382.327667 | 85,697.064512 | 0.000836 | 85,706.588374 | 336.185681 | 989.5 | 33.975309 | 989.5 | 33.975309 | 42.09782 | 28.042637 | 44.488983 | 29.635463 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 740.834473 | 88,423.74844 | 0.001304 | 88,462.406136 | 346.995427 | 989.5 | 35.067754 | 989.5 | 35.067754 | 81.980424 | 54.609652 | 86.685778 | 57.744031 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 150m | 150M | 150,436,608 | 16,384 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 136.581341 | 90.980982 | 137.545908 | 91.62351 | null | CUDA out of memory. Tried to allocate 15.62 GiB. GPU 0 has a total capacity of 139.81 GiB of which 11.74 GiB is free. Including non-PyTorch memory, this process has 128.06 GiB memory in use. Of the allocated memory 127.20 GiB is allocated by PyTorch, and 139.88 MiB is reserved by PyTorch but unallocated. If reserved bu... |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 382.965439 | 85,545.737481 | 0.000928 | 85,563.856882 | 335.625814 | 989.5 | 33.918728 | 989.5 | 33.918728 | 42.09782 | 28.042637 | 44.488983 | 29.635463 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 742.145447 | 88,321.336353 | 0.000754 | 88,306.140373 | 346.382472 | 989.5 | 35.005808 | 989.5 | 35.005808 | 81.980424 | 54.609652 | 86.685778 | 57.744031 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 150m | 150M | 150,436,608 | 16,384 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 136.581341 | 90.980982 | 137.545908 | 91.62351 | null | CUDA out of memory. Tried to allocate 15.62 GiB. GPU 0 has a total capacity of 139.81 GiB of which 11.74 GiB is free. Including non-PyTorch memory, this process has 128.06 GiB memory in use. Of the allocated memory 127.20 GiB is allocated by PyTorch, and 139.88 MiB is reserved by PyTorch but unallocated. If reserved bu... |
a6000_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 709.099396 | 23,106.132782 | 0.001322 | 23,105.364492 | 90.63122 | 154.8 | 58.5473 | 180.6 | 50.1834 | 22.106318 | 43.316901 | 22.215131 | 43.530119 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 1,390.741272 | 23,562.4972 | 0.000728 | 23,561.535607 | 92.42056 | 154.8 | 59.703204 | 180.6 | 51.174175 | 42.047751 | 82.391752 | 44.430262 | 87.060238 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 150m | 150M | 150,436,608 | 16,384 | 4 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.439092 | 98.834423 | 50.654609 | 99.256725 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 126.25 MiB is free. Process 1472317 has 47.40 GiB memory in use. Of the allocated memory 46.98 GiB is allocated by PyTorch, and 105.53 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
a6000_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 710.042725 | 23,067.332401 | 0.001177 | 23,074.667808 | 90.510812 | 154.8 | 58.469517 | 180.6 | 50.116729 | 22.106318 | 43.316901 | 22.215131 | 43.530119 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 1,390.85498 | 23,559.277687 | 0.000342 | 23,559.609348 | 92.413004 | 154.8 | 59.698323 | 180.6 | 51.169991 | 42.047751 | 82.391752 | 44.430262 | 87.060238 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 150m | 150M | 150,436,608 | 16,384 | 4 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.439092 | 98.834423 | 50.654609 | 99.256725 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 126.25 MiB is free. Process 1479887 has 47.40 GiB memory in use. Of the allocated memory 46.98 GiB is allocated by PyTorch, and 105.53 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
rtxpro6000_server_context_frontier_16384_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 12 | 20 | 238.338081 | 68,649.583113 | 0.002092 | 68,742.686467 | 269.644461 | 468 | 57.616338 | 468 | 57.616338 | 22.1204 | 21.692207 | 23.215473 | 22.766081 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_16384_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 499.697266 | 65,558.10045 | 0.000286 | 65,575.70404 | 257.221914 | 468 | 54.961947 | 468 | 54.961947 | 42.072115 | 41.257708 | 44.472205 | 43.611339 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_16384_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 150m | 150M | 150,436,608 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 238.091255 | 68,816.907383 | 0.000658 | 68,813.951134 | 269.923998 | 468 | 57.676068 | 468 | 57.676068 | 22.1204 | 21.692207 | 23.215473 | 22.766081 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_16384_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 150m | 150M | 150,436,608 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 499.858429 | 65,550.541426 | 0.000492 | 65,554.561255 | 257.138981 | 468 | 54.944227 | 468 | 54.944227 | 42.072115 | 41.257708 | 44.472205 | 43.611339 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 150m | 150M | 150,436,608 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 1,171.168701 | 27,983.845467 | 0.004187 | 27,978.889777 | 194.241131 | 312 | 62.256773 | 312 | 62.256773 | 42.089752 | 49.532366 | 42.328916 | 49.813821 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 150m | 150M | 150,436,608 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 2,659.586182 | 24,541.320406 | 0.014394 | 24,641.427472 | 171.071075 | 312 | 54.830473 | 312 | 54.830473 | 81.972937 | 96.467985 | 82.325799 | 96.883243 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 150m | 150M | 150,436,608 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 1,168.02301 | 28,068.61049 | 0.005506 | 28,054.241836 | 194.764257 | 312 | 62.424441 | 312 | 62.424441 | 42.089752 | 49.532366 | 42.328916 | 49.813821 | FLASH_ATTENTION | null |
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