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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
h100_sxm_context_16k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 250m | 250M | 246,397,312 | 16,384 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 84.093693 | 98.9134 | 84.183876 | 99.019475 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 44.19 MiB is free. Including non-PyTorch memory, this process has 79.13 GiB memory in use. Of the allocated memory 78.32 GiB is allocated by PyTorch, and 86.00 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 250m | 250M | 246,397,312 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 314.429138 | 52,109.954506 | 0.000806 | 52,107.130066 | 315.694374 | 989.5 | 31.904434 | 989.5 | 31.904434 | 30.647457 | 36.048413 | 30.75054 | 36.169662 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 250m | 250M | 246,397,312 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 604.729706 | 54,174.956183 | 0.001053 | 54,186.192087 | 328.290504 | 989.5 | 33.177413 | 989.5 | 33.177413 | 57.723926 | 67.896527 | 60.150514 | 70.750749 | FLASH_ATTENTION | null |
h100_sxm_context_16k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 250m | 250M | 246,397,312 | 16,384 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 84.093693 | 98.9134 | 84.183876 | 99.019475 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 44.19 MiB is free. Including non-PyTorch memory, this process has 79.13 GiB memory in use. Of the allocated memory 78.32 GiB is allocated by PyTorch, and 86.00 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 567.039734 | 57,767.277793 | 0.000327 | 57,787.837504 | 350.111303 | 989.5 | 35.382648 | 989.5 | 35.382648 | 57.723926 | 38.451661 | 60.072919 | 40.016397 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 1,109.00946 | 59,117.345733 | 0.000707 | 59,094.175782 | 358.025837 | 989.5 | 36.1825 | 989.5 | 36.1825 | 111.8766 | 74.524403 | 116.574388 | 77.653743 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 16,384 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.709107 | 99.059656 | 148.916666 | 99.197917 | null | CUDA out of memory. Tried to allocate 608.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 399.44 MiB is free. Including non-PyTorch memory, this process has 139.41 GiB memory in use. Of the allocated memory 138.50 GiB is allocated by PyTorch, and 197.94 MiB is reserved by PyTorch but unallocated. If reserved ... |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 566.197021 | 57,858.233903 | 0.003105 | 57,873.847365 | 350.632399 | 989.5 | 35.435311 | 989.5 | 35.435311 | 57.723926 | 38.451661 | 60.072919 | 40.016397 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 16,384 | 4 | 65,536 | complete | true | 11 | 20 | 1,109.393005 | 59,081.355103 | 0.000996 | 59,073.745447 | 357.902058 | 989.5 | 36.169991 | 989.5 | 36.169991 | 111.8766 | 74.524403 | 116.574388 | 77.653743 | FLASH_ATTENTION | null |
h200_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 16,384 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.709107 | 99.059656 | 148.916666 | 99.197917 | null | CUDA out of memory. Tried to allocate 608.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 399.44 MiB is free. Including non-PyTorch memory, this process has 139.41 GiB memory in use. Of the allocated memory 138.50 GiB is allocated by PyTorch, and 197.94 MiB is reserved by PyTorch but unallocated. If reserved ... |
a6000_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 250m | 250M | 246,397,312 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 1,053.191467 | 15,554.700894 | 0.000723 | 15,556.525579 | 94.250203 | 154.8 | 60.885144 | 180.6 | 52.187267 | 30.597388 | 59.954988 | 30.729568 | 60.213993 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 250m | 250M | 246,397,312 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 49.285758 | 96.574488 | 49.538925 | 97.070562 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.53 GiB of which 1.18 GiB is free. Process 1472317 has 46.34 GiB memory in use. Of the allocated memory 45.90 GiB is allocated by PyTorch, and 121.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
a6000_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 250m | 250M | 246,397,312 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 1,053.459229 | 15,555.813755 | 0.000818 | 15,552.571525 | 94.226247 | 154.8 | 60.869669 | 180.6 | 52.174002 | 30.597388 | 59.954988 | 30.729568 | 60.213993 | FLASH_ATTENTION | null |
a6000_context_extension_16384_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 250m | 250M | 246,397,312 | 16,384 | 2 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 49.285758 | 96.574488 | 49.538925 | 97.070562 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.53 GiB of which 1.18 GiB is free. Process 1479887 has 46.34 GiB memory in use. Of the allocated memory 45.90 GiB is allocated by PyTorch, and 121.44 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
rtxpro6000_server_context_frontier_16384_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 250m | 250M | 246,397,312 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 355.401764 | 46,101.194307 | 0.000499 | 46,099.940021 | 279.29943 | 468 | 59.679365 | 468 | 59.679365 | 30.621104 | 30.028359 | 30.960255 | 30.360945 | 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 | 250m | 250M | 246,397,312 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 751.395294 | 43,608.88705 | 0.00012 | 43,609.535824 | 264.211157 | 468 | 56.455375 | 468 | 56.455375 | 57.703856 | 56.58686 | 60.140028 | 58.975873 | 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 | 250m | 250M | 246,397,312 | 16,384 | 1 | 16,384 | complete | true | 11 | 20 | 355.438736 | 46,095.724009 | 0.000529 | 46,095.144795 | 279.270377 | 468 | 59.673158 | 468 | 59.673158 | 30.621104 | 30.028359 | 30.960255 | 30.360945 | 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 | 250m | 250M | 246,397,312 | 16,384 | 2 | 32,768 | complete | true | 11 | 20 | 751.52243 | 43,597.756045 | 0.000109 | 43,602.15833 | 264.16646 | 468 | 56.445825 | 468 | 56.445825 | 57.703856 | 56.58686 | 60.140028 | 58.975873 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 1,785.780029 | 18,346.793846 | 0.000753 | 18,349.404441 | 195.214613 | 312 | 62.568786 | 312 | 62.568786 | 57.72844 | 67.9364 | 58.070139 | 68.338521 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.274442 | 99.176459 | 84.406174 | 99.331484 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 56.75 MiB is free. Process 949988 has 79.07 GiB memory in use. Of the allocated memory 78.49 GiB is allocated by PyTorch, and 85.63 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
a100_pcie_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 1,781.660522 | 18,383.660323 | 0.000881 | 18,391.831433 | 195.665983 | 312 | 62.713456 | 312 | 62.713456 | 57.72844 | 67.9364 | 58.070139 | 68.338521 | FLASH_ATTENTION | null |
a100_pcie_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.274442 | 99.176459 | 84.406174 | 99.331484 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 56.75 MiB is free. Process 970883 has 79.07 GiB memory in use. Of the allocated memory 78.49 GiB is allocated by PyTorch, and 85.63 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
b200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 775.407227 | 42,257.151437 | 0.000409 | 42,259.085133 | 449.58358 | 2,250 | 19.981492 | 2,250 | 19.981492 | 57.72844 | 30.144926 | 58.112082 | 30.345258 | FLASH_ATTENTION | null |
b200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,508.630981 | 43,440.020611 | 0.000292 | 43,440.709362 | 462.154578 | 2,250 | 20.540203 | 2,250 | 20.540203 | 111.881696 | 58.422945 | 116.706509 | 60.942389 | FLASH_ATTENTION | null |
b200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 250m | 250M | 246,397,312 | 32,768 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 186.634275 | 97.457621 | 187.728658 | 98.029091 | null | CUDA out of memory. Tried to allocate 7.81 GiB. GPU 0 has a total capacity of 178.35 GiB of which 3.52 GiB is free. Including non-PyTorch memory, this process has 174.81 GiB memory in use. Of the allocated memory 173.82 GiB is allocated by PyTorch, and 183.69 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 779.158813 | 42,051.235859 | 0.00063 | 42,055.611043 | 447.418872 | 2,250 | 19.885283 | 2,250 | 19.885283 | 57.72844 | 30.144926 | 58.112082 | 30.345258 | FLASH_ATTENTION | null |
b200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,511.935425 | 43,323.794723 | 0.000721 | 43,345.766575 | 461.144506 | 2,250 | 20.495311 | 2,250 | 20.495311 | 111.881696 | 58.422945 | 116.706509 | 60.942389 | FLASH_ATTENTION | null |
b200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 250m | 250M | 246,397,312 | 32,768 | 4 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 186.634275 | 97.457621 | 187.728658 | 98.029091 | null | CUDA out of memory. Tried to allocate 7.81 GiB. GPU 0 has a total capacity of 178.35 GiB of which 3.52 GiB is free. Including non-PyTorch memory, this process has 174.81 GiB memory in use. Of the allocated memory 173.82 GiB is allocated by PyTorch, and 183.69 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b300_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,493.523315 | 43,874.03177 | 0.000178 | 43,880.131849 | 466.829481 | 2,250 | 20.747977 | 2,250 | 20.747977 | 111.881696 | 38.925034 | 116.664566 | 40.589054 | FLASH_ATTENTION | null |
b300_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 250m | 250M | 246,397,312 | 32,768 | 4 | 131,072 | complete | true | 11 | 20 | 2,927.362183 | 44,762.98514 | 0.000143 | 44,774.780783 | 476.347422 | 2,250 | 21.170997 | 2,250 | 21.170997 | 220.187685 | 76.606035 | 230.072254 | 80.045 | FLASH_ATTENTION | null |
b300_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 11 | 250m | 250M | 246,397,312 | 32,768 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.152221 | 99.555918 | 286.309482 | 99.610631 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 213.62 MiB is free. Including non-PyTorch memory, this process has 267.46 GiB memory in use. Of the allocated memory 266.50 GiB is allocated by PyTorch, and 149.98 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,492.817566 | 43,900.793126 | 0.000137 | 43,900.876769 | 467.050181 | 2,250 | 20.757786 | 2,250 | 20.757786 | 111.881696 | 38.925034 | 116.664566 | 40.589054 | FLASH_ATTENTION | null |
b300_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 250m | 250M | 246,397,312 | 32,768 | 4 | 131,072 | complete | true | 11 | 20 | 2,927.140747 | 44,778.851987 | 0.000053 | 44,778.167955 | 476.383457 | 2,250 | 21.172598 | 2,250 | 21.172598 | 220.187685 | 76.606035 | 230.072254 | 80.045 | FLASH_ATTENTION | null |
b300_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-5cb378b4-bafb-0312-4b78-09892a22373d | 22 | 250m | 250M | 246,397,312 | 32,768 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.152221 | 99.555918 | 286.309482 | 99.610631 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 213.62 MiB is free. Including non-PyTorch memory, this process has 267.46 GiB memory in use. Of the allocated memory 266.50 GiB is allocated by PyTorch, and 149.98 MiB is reserved by PyTorch but unallocated. If reserved ... |
rtx5090_context_extension_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.966896 | 97.915101 | 33.028047 | 98.096725 | null | CUDA out of memory. Tried to allocate 152.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 1.88 MiB is free. Including non-PyTorch memory, this process has 31.35 GiB memory in use. Of the allocated memory 30.70 GiB is allocated by PyTorch, and 58.32 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx5090_context_extension_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.966896 | 97.915101 | 33.028047 | 98.096725 | null | CUDA out of memory. Tried to allocate 152.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 1.88 MiB is free. Including non-PyTorch memory, this process has 31.35 GiB memory in use. Of the allocated memory 30.70 GiB is allocated by PyTorch, and 58.32 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_context_32k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 898.766541 | 36,453.799527 | 0.000264 | 36,458.856135 | 387.87643 | 989.5 | 39.199235 | 989.5 | 39.199235 | 57.778509 | 67.96073 | 58.154025 | 68.402422 | FLASH_ATTENTION | null |
h100_sxm_context_32k_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 84.14835 | 98.977689 | 84.21743 | 99.058943 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 12.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.37 GiB is allocated by PyTorch, and 65.88 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_context_32k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 898.875122 | 36,448.81497 | 0.000237 | 36,454.452009 | 387.829576 | 989.5 | 39.1945 | 989.5 | 39.1945 | 57.778509 | 67.96073 | 58.154025 | 68.402422 | FLASH_ATTENTION | null |
h100_sxm_context_32k_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 84.14835 | 98.977689 | 84.21743 | 99.058943 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 12.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.37 GiB is allocated by PyTorch, and 65.88 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 858.375641 | 38,205.80651 | 0.00355 | 38,174.429049 | 406.127971 | 989.5 | 41.043757 | 989.5 | 41.043757 | 57.778509 | 38.488021 | 58.154025 | 38.738163 | FLASH_ATTENTION | null |
h200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,695.697815 | 38,642.877157 | 0.001089 | 38,648.395618 | 411.17038 | 989.5 | 41.553348 | 989.5 | 41.553348 | 111.931766 | 74.561151 | 116.853309 | 77.839541 | FLASH_ATTENTION | null |
h200_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 250m | 250M | 246,397,312 | 32,768 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.763633 | 99.095977 | 148.904083 | 99.189535 | null | CUDA out of memory. Tried to allocate 608.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 411.44 MiB is free. Including non-PyTorch memory, this process has 139.40 GiB memory in use. Of the allocated memory 138.55 GiB is allocated by PyTorch, and 133.94 MiB is reserved by PyTorch but unallocated. If reserved ... |
h200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 859.432556 | 38,153.7692 | 0.002192 | 38,127.482797 | 405.628522 | 989.5 | 40.993282 | 989.5 | 40.993282 | 57.778509 | 38.488021 | 58.154025 | 38.738163 | FLASH_ATTENTION | null |
h200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | 65,536 | complete | true | 11 | 20 | 1,700.404602 | 38,524.230214 | 0.001109 | 38,541.415332 | 410.032244 | 989.5 | 41.438327 | 989.5 | 41.438327 | 111.931766 | 74.561151 | 116.853309 | 77.839541 | FLASH_ATTENTION | null |
h200_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 250m | 250M | 246,397,312 | 32,768 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.763633 | 99.095977 | 148.904083 | 99.189535 | null | CUDA out of memory. Tried to allocate 608.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 411.44 MiB is free. Including non-PyTorch memory, this process has 139.40 GiB memory in use. Of the allocated memory 138.55 GiB is allocated by PyTorch, and 133.94 MiB is reserved by PyTorch but unallocated. If reserved ... |
a6000_context_extension_32768_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 47.3688 | 92.818246 | 47.565505 | 93.203684 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 47.53 GiB of which 3.02 GiB is free. Process 1490581 has 44.50 GiB memory in use. Of the allocated memory 44.12 GiB is allocated by PyTorch, and 67.59 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try... |
a6000_context_extension_32768_seed22_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 47.3688 | 92.818246 | 47.565505 | 93.203684 | null | CUDA out of memory. Tried to allocate 3.91 GiB. GPU 0 has a total capacity of 47.53 GiB of which 3.02 GiB is free. Process 1493539 has 44.50 GiB memory in use. Of the allocated memory 44.12 GiB is allocated by PyTorch, and 67.59 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try... |
rtxpro6000_server_context_frontier_32768_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 997.57962 | 32,845.45465 | 0.000315 | 32,847.503428 | 349.456174 | 468 | 74.670123 | 468 | 74.670123 | 57.764544 | 56.646373 | 60.349743 | 59.181529 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_32768_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 99.341366 | 97.418375 | 99.891544 | 97.957904 | null | CUDA out of memory. Tried to allocate 7.81 GiB. GPU 0 has a total capacity of 94.97 GiB of which 1.61 GiB is free. Including non-PyTorch memory, this process has 93.35 GiB memory in use. Of the allocated memory 92.52 GiB is allocated by PyTorch, and 188.69 MiB is reserved by PyTorch but unallocated. If reserved but una... |
rtxpro6000_server_context_frontier_32768_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 250m | 250M | 246,397,312 | 32,768 | 1 | 32,768 | complete | true | 11 | 20 | 997.489105 | 32,851.417818 | 0.00018 | 32,850.484109 | 349.487884 | 468 | 74.676898 | 468 | 74.676898 | 57.764544 | 56.646373 | 60.349743 | 59.181529 | FLASH_ATTENTION | null |
rtxpro6000_server_context_frontier_32768_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 250m | 250M | 246,397,312 | 32,768 | 2 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 99.341366 | 97.418375 | 99.891544 | 97.957904 | null | CUDA out of memory. Tried to allocate 7.81 GiB. GPU 0 has a total capacity of 94.97 GiB of which 1.61 GiB is free. Including non-PyTorch memory, this process has 93.35 GiB memory in use. Of the allocated memory 92.52 GiB is allocated by PyTorch, and 188.69 MiB is reserved by PyTorch but unallocated. If reserved but una... |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 438.977402 | 37,310.425553 | 0.002154 | 37,323.10578 | 84.605779 | 312 | 27.117237 | 312 | 27.117237 | 36.864123 | 43.382705 | 38.02556 | 44.749515 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 837.528381 | 39,125.524478 | 0.001147 | 39,124.644286 | 88.689592 | 312 | 28.426151 | 312 | 28.426151 | 68.83106 | 81.002266 | 71.370277 | 83.990486 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 350m | 350M | 348,447,744 | 512 | 128 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 83.681412 | 98.478565 | 84.127252 | 99.003242 | null | CUDA out of memory. Tried to allocate 704.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 522.75 MiB is free. Process 764857 has 78.62 GiB memory in use. Of the allocated memory 77.93 GiB is allocated by PyTorch, and 185.19 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 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 440.086349 | 37,247.623626 | 0.001904 | 37,229.057477 | 84.392586 | 312 | 27.048906 | 312 | 27.048906 | 36.864123 | 43.382705 | 38.02556 | 44.749515 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 837.840485 | 39,115.332704 | 0.000864 | 39,110.069997 | 88.656554 | 312 | 28.415562 | 312 | 28.415562 | 68.83106 | 81.002266 | 71.370277 | 83.990486 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 350m | 350M | 348,447,744 | 512 | 128 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 83.681412 | 98.478565 | 84.127252 | 99.003242 | null | CUDA out of memory. Tried to allocate 704.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 522.75 MiB is free. Process 852916 has 78.62 GiB memory in use. Of the allocated memory 77.93 GiB is allocated by PyTorch, and 185.19 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 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 273.85553 | 119,699.021472 | 0.008117 | 119,654.330244 | 271.238087 | 2,250 | 12.055026 | 2,250 | 12.055026 | 68.83106 | 35.942548 | 71.267516 | 37.214829 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 502.941437 | 130,320.497987 | 0.000853 | 130,305.429637 | 295.382502 | 2,250 | 13.128111 | 2,250 | 13.128111 | 132.764934 | 69.327858 | 137.636086 | 71.871501 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 350m | 350M | 348,447,744 | 512 | 256 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.409679 | 99.42908 | 190.595465 | 99.526095 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 133.81 MiB is free. Including non-PyTorch memory, this process has 178.21 GiB memory in use. Of the allocated memory 177.22 GiB is allocated by PyTorch, and 169.18 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 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 272.478302 | 119,912.462064 | 0.002066 | 120,259.116998 | 272.609046 | 2,250 | 12.115958 | 2,250 | 12.115958 | 68.83106 | 35.942548 | 71.267516 | 37.214829 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 503.677963 | 130,001.272811 | 0.000896 | 130,114.884471 | 294.950566 | 2,250 | 13.108914 | 2,250 | 13.108914 | 132.764934 | 69.327858 | 137.636086 | 71.871501 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 350m | 350M | 348,447,744 | 512 | 256 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.409679 | 99.42908 | 190.595465 | 99.526095 | null | CUDA out of memory. Tried to allocate 256.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 133.81 MiB is free. Including non-PyTorch memory, this process has 178.21 GiB memory in use. Of the allocated memory 177.22 GiB is allocated by PyTorch, and 169.18 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 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 501.798691 | 130,371.507778 | 0.000606 | 130,602.174143 | 296.055177 | 2,250 | 13.158008 | 2,250 | 13.158008 | 132.764934 | 46.190572 | 137.59624 | 47.871444 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 350m | 350M | 348,447,744 | 512 | 256 | 131,072 | complete | true | 11 | 20 | 955.904205 | 137,082.153411 | 0.000268 | 137,118.342267 | 310.826335 | 2,250 | 13.814504 | 2,250 | 13.814504 | 260.632681 | 90.677352 | 270.173995 | 93.996894 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 350m | 350M | 348,447,744 | 512 | 512 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.977934 | 99.495281 | 286.506615 | 99.679216 | null | CUDA out of memory. Tried to allocate 512.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 445.62 MiB is free. Including non-PyTorch memory, this process has 267.24 GiB memory in use. Of the allocated memory 266.34 GiB is allocated by PyTorch, and 84.19 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 501.309341 | 130,722.054809 | 0.000217 | 130,729.660479 | 296.344169 | 2,250 | 13.170852 | 2,250 | 13.170852 | 132.764934 | 46.190572 | 137.59624 | 47.871444 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 350m | 350M | 348,447,744 | 512 | 256 | 131,072 | complete | true | 11 | 20 | 955.178406 | 137,221.244612 | 0.000126 | 137,222.53268 | 311.062518 | 2,250 | 13.825001 | 2,250 | 13.825001 | 260.632681 | 90.677352 | 270.173995 | 93.996894 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 350m | 350M | 348,447,744 | 512 | 512 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.977934 | 99.495281 | 286.506615 | 99.679216 | null | CUDA out of memory. Tried to allocate 512.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 445.62 MiB is free. Including non-PyTorch memory, this process has 267.24 GiB memory in use. Of the allocated memory 266.34 GiB is allocated by PyTorch, and 84.19 MiB is reserved by PyTorch but unallocated. If reserved b... |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 350m | 350M | 348,447,744 | 512 | 8 | 4,096 | complete | true | 11 | 20 | 132.351059 | 30,943.387392 | 0.000775 | 30,947.995673 | 70.154378 | 165.2 | 42.466331 | 205.516667 | 34.135615 | 12.888921 | 51.022906 | 13.191086 | 52.219077 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 261.478394 | 31,335.718588 | 0.000821 | 31,329.548452 | 71.0193 | 165.2 | 42.989891 | 205.516667 | 34.556468 | 20.880655 | 82.659496 | 21.472739 | 85.00336 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 350m | 350M | 348,447,744 | 512 | 32 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.622859 | 97.473626 | 24.696062 | 97.763411 | null | CUDA out of memory. Tried to allocate 88.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 59.69 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.93 GiB is allocated by PyTorch, and 69.81 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 350m | 350M | 348,447,744 | 512 | 8 | 4,096 | complete | true | 11 | 20 | 132.612755 | 30,863.454359 | 0.001597 | 30,886.9234 | 70.015937 | 165.2 | 42.382528 | 205.516667 | 34.068252 | 12.888921 | 51.022906 | 13.191086 | 52.219077 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 261.622787 | 31,308.39239 | 0.00069 | 31,312.257159 | 70.980103 | 165.2 | 42.966164 | 205.516667 | 34.537395 | 20.880655 | 82.659496 | 21.472739 | 85.00336 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 350m | 350M | 348,447,744 | 512 | 32 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.622859 | 97.473626 | 24.696062 | 97.763411 | null | CUDA out of memory. Tried to allocate 88.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 59.69 MiB is free. Including non-PyTorch memory, this process has 23.46 GiB memory in use. Of the allocated memory 22.93 GiB is allocated by PyTorch, and 69.81 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 350m | 350M | 348,447,744 | 512 | 8 | 4,096 | complete | true | 11 | 20 | 101.382065 | 40,394.725174 | 0.000357 | 40,401.623377 | 91.584308 | 209.5 | 43.71566 | 268.946822 | 34.052943 | 12.888921 | 38.281431 | 13.191086 | 39.178894 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 185.465569 | 44,167.654874 | 0.000254 | 44,169.923638 | 100.126469 | 209.5 | 47.793064 | 268.946822 | 37.229096 | 20.880655 | 62.017711 | 21.472739 | 63.776263 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 350m | 350M | 348,447,744 | 512 | 32 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.67801 | 97.057079 | 32.807846 | 97.442705 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 251.88 MiB is free. Including non-PyTorch memory, this process has 31.10 GiB memory in use. Of the allocated memory 30.43 GiB is allocated by PyTorch, and 83.82 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 350m | 350M | 348,447,744 | 512 | 8 | 4,096 | complete | true | 11 | 20 | 101.411278 | 40,387.127035 | 0.000383 | 40,389.985118 | 91.557926 | 209.5 | 43.703067 | 268.946822 | 34.043134 | 12.888921 | 38.281431 | 13.191086 | 39.178894 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 185.502419 | 44,152.561096 | 0.000382 | 44,161.149302 | 100.106579 | 209.5 | 47.78357 | 268.946822 | 37.2217 | 20.880655 | 62.017711 | 21.472739 | 63.776263 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 350m | 350M | 348,447,744 | 512 | 32 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.67801 | 97.057079 | 32.807846 | 97.442705 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 251.88 MiB is free. Including non-PyTorch memory, this process has 31.10 GiB memory in use. Of the allocated memory 30.43 GiB is allocated by PyTorch, and 83.82 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 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 208.620338 | 78,527.905946 | 0.00093 | 78,535.008248 | 178.026866 | 989.5 | 17.991598 | 989.5 | 17.991598 | 36.914193 | 43.419526 | 38.088475 | 44.80075 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 388.882217 | 84,226.890293 | 0.000375 | 84,262.016964 | 191.00912 | 989.5 | 19.3036 | 989.5 | 19.3036 | 68.881129 | 81.019949 | 71.328334 | 83.89842 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 350m | 350M | 348,447,744 | 512 | 128 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.731482 | 98.487356 | 84.169196 | 99.002208 | null | CUDA out of memory. Tried to allocate 704.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 318.19 MiB is free. Including non-PyTorch memory, this process has 78.86 GiB memory in use. Of the allocated memory 77.98 GiB is allocated by PyTorch, and 157.44 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 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 208.580498 | 78,533.885854 | 0.000541 | 78,550.009121 | 178.060871 | 989.5 | 17.995035 | 989.5 | 17.995035 | 36.914193 | 43.419526 | 38.088475 | 44.80075 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 388.814362 | 84,263.319641 | 0.000352 | 84,276.72236 | 191.042455 | 989.5 | 19.306969 | 989.5 | 19.306969 | 68.881129 | 81.019949 | 71.328334 | 83.89842 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 350m | 350M | 348,447,744 | 512 | 128 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.731482 | 98.487356 | 84.169196 | 99.002208 | null | CUDA out of memory. Tried to allocate 704.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 318.19 MiB is free. Including non-PyTorch memory, this process has 78.86 GiB memory in use. Of the allocated memory 77.98 GiB is allocated by PyTorch, and 157.44 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 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 347.728287 | 94,294.625363 | 0.002127 | 94,234.496442 | 213.615207 | 989.5 | 21.588197 | 989.5 | 21.588197 | 68.881129 | 45.883814 | 71.351402 | 47.529338 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 674.024017 | 97,259.254463 | 0.001158 | 97,230.956634 | 220.407725 | 989.5 | 22.274656 | 989.5 | 22.274656 | 132.815003 | 88.47211 | 137.719972 | 91.739459 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 350m | 350M | 348,447,744 | 512 | 256 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.095696 | 98.651044 | 149.01733 | 99.264972 | null | CUDA out of memory. Tried to allocate 1.38 GiB. GPU 0 has a total capacity of 139.81 GiB of which 1.06 GiB is free. Including non-PyTorch memory, this process has 138.74 GiB memory in use. Of the allocated memory 137.92 GiB is allocated by PyTorch, and 98.94 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 350m | 350M | 348,447,744 | 512 | 64 | 32,768 | complete | true | 11 | 20 | 347.526733 | 94,274.816805 | 0.001525 | 94,289.149153 | 213.739097 | 989.5 | 21.600717 | 989.5 | 21.600717 | 68.881129 | 45.883814 | 71.351402 | 47.529338 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 350m | 350M | 348,447,744 | 512 | 128 | 65,536 | complete | true | 11 | 20 | 673.123444 | 97,321.542033 | 0.001046 | 97,361.042202 | 220.702609 | 989.5 | 22.304458 | 989.5 | 22.304458 | 132.815003 | 88.47211 | 137.719972 | 91.739459 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 350m | 350M | 348,447,744 | 512 | 256 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.095696 | 98.651044 | 149.01733 | 99.264972 | null | CUDA out of memory. Tried to allocate 1.38 GiB. GPU 0 has a total capacity of 139.81 GiB of which 1.06 GiB is free. Including non-PyTorch memory, this process has 138.74 GiB memory in use. Of the allocated memory 137.92 GiB is allocated by PyTorch, and 98.94 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 350m | 350M | 348,447,744 | 512 | 8 | 4,096 | complete | true | 11 | 20 | 143.498451 | 28,507.494561 | 0.004906 | 28,543.862075 | 64.704575 | 364.2 | 17.76622 | 451.433533 | 14.333134 | 12.888921 | 25.33357 | 13.191086 | 25.927486 | FLASH_ATTENTION | null |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 282.309723 | 29,001.287502 | 0.007396 | 29,017.774931 | 65.778863 | 364.2 | 18.061192 | 451.433533 | 14.571107 | 20.880655 | 41.04157 | 21.472739 | 42.205331 | FLASH_ATTENTION | null |
rtx6000_ada_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 598.225708 | 27,327.895936 | 0.002067 | 27,387.656165 | 62.083633 | 364.2 | 17.046577 | 451.433533 | 13.752552 | 36.864123 | 72.45757 | 38.029754 | 74.748654 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 350m | 350M | 348,447,744 | 512 | 16 | 8,192 | complete | true | 11 | 20 | 451.193512 | 18,155.462581 | 0.001304 | 18,156.289447 | 41.157534 | 154.8 | 26.587555 | 180.6 | 22.789332 | 20.880655 | 40.915238 | 21.487419 | 42.104182 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 350m | 350M | 348,447,744 | 512 | 32 | 16,384 | complete | true | 11 | 20 | 836.666931 | 19,581.381864 | 0.000421 | 19,582.463929 | 44.390454 | 154.8 | 28.676004 | 180.6 | 24.579432 | 36.864123 | 72.234535 | 38.027657 | 74.514457 | FLASH_ATTENTION | null |
a6000_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 350m | 350M | 348,447,744 | 512 | 64 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.532782 | 99.018007 | 50.658804 | 99.264944 | null | CUDA out of memory. Tried to allocate 128.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 80.25 MiB is free. Process 1415479 has 47.44 GiB memory in use. Of the allocated memory 47.00 GiB is allocated by PyTorch, and 124.18 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large... |
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