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 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.11769 | 98.991989 | 84.364231 | 99.282125 | null | CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 56.75 MiB is free. Process 852916 has 79.07 GiB memory in use. Of the allocated memory 78.34 GiB is allocated by PyTorch, and 235.12 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 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | 8,192 | complete | true | 11 | 20 | 363.338898 | 22,505.083463 | 0.003314 | 22,546.443697 | 569.85762 | 2,250 | 25.327005 | 2,250 | 25.327005 | 105.340711 | 55.00734 | 106.111697 | 55.409937 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | 16,384 | complete | true | 11 | 20 | 650.28363 | 25,160.980983 | 0.001165 | 25,195.159827 | 636.80348 | 2,250 | 28.302377 | 2,250 | 28.302377 | 154.662478 | 80.762428 | 156.288156 | 81.611332 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.156972 | 99.29712 | 190.42979 | 99.439582 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 209.81 MiB is free. Including non-PyTorch memory, this process has 178.13 GiB memory in use. Of the allocated memory 177.10 GiB is allocated by PyTorch, and 220.18 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 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | 8,192 | complete | true | 11 | 20 | 362.4543 | 22,602.835982 | 0.001133 | 22,601.470038 | 571.248402 | 2,250 | 25.388818 | 2,250 | 25.388818 | 105.340711 | 55.00734 | 106.111697 | 55.409937 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | 16,384 | complete | true | 11 | 20 | 650.480621 | 25,152.052937 | 0.003704 | 25,187.529747 | 636.610631 | 2,250 | 28.293806 | 2,250 | 28.293806 | 154.662478 | 80.762428 | 156.288156 | 81.611332 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.156972 | 99.29712 | 190.42979 | 99.439582 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 209.81 MiB is free. Including non-PyTorch memory, this process has 178.13 GiB memory in use. Of the allocated memory 177.10 GiB is allocated by PyTorch, and 220.18 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 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | 16,384 | complete | true | 11 | 20 | 767.905396 | 21,333.810181 | 0.000967 | 21,335.96156 | 539.262885 | 2,250 | 23.967239 | 2,250 | 23.967239 | 154.662478 | 53.809 | 156.170715 | 54.333735 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 32 | 32,768 | complete | true | 11 | 20 | 1,308.098694 | 25,044.1224 | 0.000553 | 25,050.097637 | 633.137057 | 2,250 | 28.139425 | 2,250 | 28.139425 | 253.306012 | 88.128313 | 256.041288 | 89.079949 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 64 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.271549 | 99.597433 | 286.412243 | 99.646383 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 113.62 MiB is free. Including non-PyTorch memory, this process has 267.56 GiB memory in use. Of the allocated memory 266.61 GiB is allocated by PyTorch, and 134.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | 16,384 | complete | true | 11 | 20 | 767.982666 | 21,328.43681 | 0.001285 | 21,333.814844 | 539.208627 | 2,250 | 23.964828 | 2,250 | 23.964828 | 154.662478 | 53.809 | 156.170715 | 54.333735 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 32 | 32,768 | complete | true | 11 | 20 | 1,308.821167 | 25,036.898759 | 0.000803 | 25,036.269909 | 632.787564 | 2,250 | 28.123892 | 2,250 | 28.123892 | 253.306012 | 88.128313 | 256.041288 | 89.079949 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 64 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.271549 | 99.597433 | 286.412243 | 99.646383 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 113.62 MiB is free. Including non-PyTorch memory, this process has 267.56 GiB memory in use. Of the allocated memory 266.61 GiB is allocated by PyTorch, and 134.18 MiB is reserved by PyTorch but unallocated. If reserved ... |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 2 | 2,048 | complete | true | 11 | 20 | 211.804909 | 9,668.507847 | 0.000634 | 9,669.275429 | 244.389331 | 989.5 | 24.698265 | 989.5 | 24.698265 | 68.399455 | 80.45339 | 68.839014 | 80.970412 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 11 | 20 | 332.976379 | 12,299.563346 | 0.000948 | 12,301.172856 | 310.910101 | 989.5 | 31.42093 | 989.5 | 31.42093 | 80.729897 | 94.956807 | 81.254154 | 95.573453 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed11_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.979645 | 98.779254 | 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 10.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.20 GiB is allocated by PyTorch, and 240.78 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 2 | 2,048 | complete | true | 11 | 20 | 211.632813 | 9,675.437289 | 0.000599 | 9,677.138322 | 244.588064 | 989.5 | 24.718349 | 989.5 | 24.718349 | 68.399455 | 80.45339 | 68.839014 | 80.970412 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 11 | 20 | 333.457428 | 12,285.110911 | 0.001054 | 12,283.427077 | 310.461579 | 989.5 | 31.375602 | 989.5 | 31.375602 | 80.729897 | 94.956807 | 81.254154 | 95.573453 | FLASH_ATTENTION | null |
h100_sxm_context_frontier_seed22_v2.json | context_frontier | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.979645 | 98.779254 | 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 10.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.20 GiB is allocated by PyTorch, and 240.78 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 12 | 20 | 309.583542 | 13,230.242156 | 0.003164 | 13,230.677494 | 334.403176 | 989.5 | 33.795167 | 989.5 | 33.795167 | 80.729897 | 53.776638 | 81.247863 | 54.121671 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | 8,192 | complete | true | 11 | 20 | 546.109039 | 15,007.063793 | 0.005683 | 15,000.667285 | 379.139374 | 989.5 | 38.316258 | 989.5 | 38.316258 | 105.39078 | 70.204002 | 106.313023 | 70.818336 | FLASH_ATTENTION | null |
h200_context_frontier_seed11_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.66096 | 99.027583 | 149.011038 | 99.260781 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 389.44 MiB is free. Including non-PyTorch memory, this process has 139.42 GiB memory in use. Of the allocated memory 138.45 GiB is allocated by PyTorch, and 253.86 MiB is reserved by PyTorch but unallocated. If reserved... |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 11 | 20 | 310.108109 | 13,195.770942 | 0.005471 | 13,208.297002 | 333.837513 | 989.5 | 33.738 | 989.5 | 33.738 | 80.729897 | 53.776638 | 81.247863 | 54.121671 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | 8,192 | complete | true | 11 | 20 | 546.395691 | 14,993.048897 | 0.002739 | 14,992.797594 | 378.940469 | 989.5 | 38.296157 | 989.5 | 38.296157 | 105.39078 | 70.204002 | 106.313023 | 70.818336 | FLASH_ATTENTION | null |
h200_context_frontier_seed22_v2.json | context_frontier | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.66096 | 99.027583 | 149.011038 | 99.260781 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 389.44 MiB is free. Including non-PyTorch memory, this process has 139.42 GiB memory in use. Of the allocated memory 138.45 GiB is allocated by PyTorch, and 253.86 MiB is reserved by PyTorch but unallocated. If reserved... |
rtxpro6000_server_context_frontier_seed11_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 4b | 4B | 3,999,611,392 | 1,024 | 2 | 2,048 | complete | true | 11 | 20 | 358.00148 | 5,719.976418 | 0.00038 | 5,720.64674 | 144.588396 | 468 | 30.894956 | 468 | 30.894956 | 68.349386 | 67.026319 | 68.7761 | 67.444773 | 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 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 11 | 20 | 557.692261 | 7,344.629991 | 0.000146 | 7,344.552342 | 185.632341 | 468 | 39.66503 | 468 | 39.66503 | 80.679827 | 79.118076 | 81.170268 | 79.599023 | 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 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 101.025922 | 99.070322 | 101.208556 | 99.249421 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 59.75 MiB is free. Including non-PyTorch memory, this process has 94.90 GiB memory in use. Of the allocated memory 94.09 GiB is allocated by PyTorch, and 174.17 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtxpro6000_server_context_frontier_seed22_v2.json | context_frontier | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 4b | 4B | 3,999,611,392 | 1,024 | 2 | 2,048 | complete | true | 11 | 20 | 359.970673 | 5,689.134993 | 0.00066 | 5,689.352372 | 143.797436 | 468 | 30.725948 | 468 | 30.725948 | 68.643249 | 67.314494 | 77.399589 | 75.901334 | 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 | 4b | 4B | 3,999,611,392 | 1,024 | 4 | 4,096 | complete | true | 11 | 20 | 558.83905 | 7,329.507377 | 0.000296 | 7,329.48064 | 185.251406 | 468 | 39.583634 | 468 | 39.583634 | 80.975495 | 79.40802 | 89.839895 | 88.100828 | 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 | 4b | 4B | 3,999,611,392 | 1,024 | 8 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.874246 | 98.921583 | 101.254693 | 99.294665 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 43.75 MiB is free. Including non-PyTorch memory, this process has 94.92 GiB memory in use. Of the allocated memory 93.93 GiB is allocated by PyTorch, and 348.83 MiB is reserved by PyTorch but unallocated. If reserved but u... |
a100_pcie_training_seed11_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 488.0979 | 4,193.343266 | 0.002013 | 4,195.879553 | 111.408992 | 312 | 35.70801 | 312 | 35.70801 | 68.357292 | 80.444723 | 68.784488 | 80.94746 | FLASH_ATTENTION | null |
a100_pcie_training_seed11_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 827.050079 | 4,953.476466 | 0.001259 | 4,952.541693 | 131.499884 | 312 | 42.147399 | 312 | 42.147399 | 80.68807 | 94.955918 | 81.197531 | 95.555466 | FLASH_ATTENTION | null |
a100_pcie_training_seed11_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.066539 | 98.931793 | 84.393591 | 99.316676 | null | CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 88.75 MiB is free. Process 703773 has 79.04 GiB memory in use. Of the allocated memory 78.24 GiB is allocated by PyTorch, and 307.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a100_pcie_training_seed22_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 488.275589 | 4,195.324618 | 0.002826 | 4,194.352628 | 111.368449 | 312 | 35.695016 | 312 | 35.695016 | 68.357292 | 80.444723 | 68.784488 | 80.94746 | FLASH_ATTENTION | null |
a100_pcie_training_seed22_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 825.981293 | 4,959.158136 | 0.001783 | 4,958.950083 | 131.67004 | 312 | 42.201936 | 312 | 42.201936 | 80.68807 | 94.955918 | 81.197531 | 95.555466 | FLASH_ATTENTION | null |
a100_pcie_training_seed22_v2.json | baseline_reused | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.066539 | 98.931793 | 84.393591 | 99.316676 | null | CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 88.75 MiB is free. Process 736416 has 79.04 GiB memory in use. Of the allocated memory 78.24 GiB is allocated by PyTorch, and 307.90 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
b200_training_seed11_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 13 | 20 | 183.098206 | 10,936.282686 | 0.043287 | 11,185.254348 | 296.990868 | 2,250 | 13.199594 | 2,250 | 13.199594 | 68.357292 | 35.695153 | 68.784488 | 35.918229 | FLASH_ATTENTION | null |
b200_training_seed11_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 12 | 20 | 230.079681 | 17,742.853737 | 0.005481 | 17,802.528129 | 472.692718 | 2,250 | 21.008565 | 2,250 | 21.008565 | 80.68807 | 42.1341 | 81.197531 | 42.400134 | FLASH_ATTENTION | null |
b200_training_seed11_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 378.712296 | 21,624.887248 | 0.001288 | 21,631.196284 | 574.351513 | 2,250 | 25.526734 | 2,250 | 25.526734 | 105.349593 | 55.011978 | 106.250109 | 55.482214 | FLASH_ATTENTION | null |
b200_training_seed11_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 682.083008 | 24,021.482821 | 0.001583 | 24,020.536815 | 637.793281 | 2,250 | 28.346368 | 2,250 | 28.346368 | 154.67264 | 80.767734 | 156.082635 | 81.504012 | FLASH_ATTENTION | null |
b200_training_seed11_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.164574 | 99.30109 | 190.350098 | 99.397968 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 265.81 MiB is free. Including non-PyTorch memory, this process has 178.08 GiB memory in use. Of the allocated memory 177.10 GiB is allocated by PyTorch, and 156.93 MiB is reserved by PyTorch but unallocated. If reserved ... |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 14 | 20 | 199.490913 | 10,179.534395 | 0.031868 | 10,266.131751 | 272.586325 | 2,250 | 12.114948 | 2,250 | 12.114948 | 68.357292 | 35.695153 | 68.784488 | 35.918229 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 27 | 20 | 229.221909 | 17,849.603678 | 0.00298 | 17,869.147088 | 474.461584 | 2,250 | 21.087182 | 2,250 | 21.087182 | 80.68807 | 42.1341 | 81.197531 | 42.400134 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 378.7957 | 21,589.85618 | 0.001644 | 21,626.433453 | 574.22505 | 2,250 | 25.521113 | 2,250 | 25.521113 | 105.349593 | 55.011978 | 106.250109 | 55.482214 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 683.044525 | 23,985.551311 | 0.001334 | 23,986.723262 | 636.895464 | 2,250 | 28.306465 | 2,250 | 28.306465 | 154.67264 | 80.767734 | 156.082635 | 81.504012 | FLASH_ATTENTION | null |
b200_training_seed22_v2.json | baseline_reused | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.164574 | 99.30109 | 190.350098 | 99.397968 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 265.81 MiB is free. Including non-PyTorch memory, this process has 178.08 GiB memory in use. Of the allocated memory 177.10 GiB is allocated by PyTorch, and 156.93 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 301.232224 | 6,797.072153 | 0.001019 | 6,798.741437 | 180.520179 | 2,250 | 8.023119 | 2,250 | 8.023119 | 68.357292 | 23.782352 | 68.784488 | 23.930979 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 373.333633 | 10,970.479495 | 0.000844 | 10,971.419752 | 291.313132 | 2,250 | 12.94725 | 2,250 | 12.94725 | 80.68807 | 28.072383 | 81.197531 | 28.249631 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 517.598785 | 15,825.376851 | 0.000469 | 15,826.930493 | 420.23665 | 2,250 | 18.677184 | 2,250 | 18.677184 | 105.349593 | 36.652434 | 106.250109 | 36.965735 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 801.867371 | 20,427.069808 | 0.000924 | 20,432.306639 | 542.518595 | 2,250 | 24.111938 | 2,250 | 24.111938 | 154.67264 | 53.812536 | 156.082635 | 54.30309 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 1,375.237732 | 23,830.485077 | 0.00091 | 23,827.153109 | 632.658557 | 2,250 | 28.118158 | 2,250 | 28.118158 | 253.318734 | 88.132739 | 256.074842 | 89.091623 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.279159 | 99.600081 | 286.462575 | 99.663894 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 65.62 MiB is free. Including non-PyTorch memory, this process has 267.61 GiB memory in use. Of the allocated memory 266.62 GiB is allocated by PyTorch, and 174.92 MiB is reserved by PyTorch but unallocated. If reserved b... |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 301.76561 | 6,783.723545 | 0.000678 | 6,786.724311 | 180.2011 | 2,250 | 8.008938 | 2,250 | 8.008938 | 68.357292 | 23.782352 | 68.784488 | 23.930979 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 373.598236 | 10,960.082352 | 0.000605 | 10,963.649194 | 291.106808 | 2,250 | 12.93808 | 2,250 | 12.93808 | 80.68807 | 28.072383 | 81.197531 | 28.249631 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 517.909851 | 15,815.585874 | 0.000225 | 15,817.424563 | 419.984249 | 2,250 | 18.665967 | 2,250 | 18.665967 | 105.349593 | 36.652434 | 106.250109 | 36.965735 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 801.478363 | 20,443.614602 | 0.001256 | 20,442.223715 | 542.781914 | 2,250 | 24.123641 | 2,250 | 24.123641 | 154.67264 | 53.812536 | 156.082635 | 54.30309 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 1,375.114502 | 23,827.319347 | 0.000579 | 23,829.288364 | 632.715252 | 2,250 | 28.120678 | 2,250 | 28.120678 | 253.318734 | 88.132739 | 256.074842 | 89.091623 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.279159 | 99.600081 | 286.462575 | 99.663894 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 65.62 MiB is free. Including non-PyTorch memory, this process has 267.61 GiB memory in use. Of the allocated memory 266.62 GiB is allocated by PyTorch, and 174.92 MiB is reserved by PyTorch but unallocated. If reserved b... |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.735545 | 97.91971 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 26.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 7.69 MiB is free. Including non-PyTorch memory, this process has 23.51 GiB memory in use. Of the allocated memory 23.04 GiB is allocated by PyTorch, and 14.35 MiB is reserved by PyTorch but unallocated. If reserved but una... |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.735545 | 97.91971 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 26.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 7.69 MiB is free. Including non-PyTorch memory, this process has 23.51 GiB memory in use. Of the allocated memory 23.04 GiB is allocated by PyTorch, and 14.35 MiB is reserved by PyTorch but unallocated. If reserved but una... |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.925502 | 97.792156 | 32.956744 | 97.884947 | null | CUDA out of memory. Tried to allocate 134.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 71.88 MiB is free. Including non-PyTorch memory, this process has 31.28 GiB memory in use. Of the allocated memory 30.66 GiB is allocated by PyTorch, and 25.79 MiB is reserved by PyTorch but unallocated. If reserved but u... |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.925502 | 97.792156 | 32.956744 | 97.884947 | null | CUDA out of memory. Tried to allocate 134.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 71.88 MiB is free. Including non-PyTorch memory, this process has 31.28 GiB memory in use. Of the allocated memory 30.66 GiB is allocated by PyTorch, and 25.79 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 217.014763 | 9,435.671292 | 0.00073 | 9,437.145993 | 250.575096 | 989.5 | 25.323405 | 989.5 | 25.323405 | 68.407361 | 80.462689 | 68.826431 | 80.955611 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 344.848251 | 11,885.665577 | 0.002621 | 11,877.688183 | 315.376371 | 989.5 | 31.872296 | 989.5 | 31.872296 | 80.738139 | 94.966501 | 81.260446 | 95.580853 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.957896 | 98.753671 | 84.221624 | 99.063876 | null | CUDA out of memory. Tried to allocate 28.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 6.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.19 GiB is allocated by PyTorch, and 251.51 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 217.371536 | 9,419.981094 | 0.000572 | 9,421.656742 | 250.163825 | 989.5 | 25.281842 | 989.5 | 25.281842 | 68.407361 | 80.462689 | 68.826431 | 80.955611 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 344.822281 | 11,878.485777 | 0.002058 | 11,878.582757 | 315.400123 | 989.5 | 31.874697 | 989.5 | 31.874697 | 80.738139 | 94.966501 | 81.260446 | 95.580853 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.957896 | 98.753671 | 84.221624 | 99.063876 | null | CUDA out of memory. Tried to allocate 28.00 MiB. GPU 0 has a total capacity of 79.18 GiB of which 6.19 MiB is free. Including non-PyTorch memory, this process has 79.16 GiB memory in use. Of the allocated memory 78.19 GiB is allocated by PyTorch, and 251.51 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 197.646736 | 10,366.917385 | 0.000855 | 10,361.921679 | 275.129739 | 989.5 | 27.804926 | 989.5 | 27.804926 | 68.407361 | 45.568222 | 68.826431 | 45.847378 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 321.365692 | 12,738.409244 | 0.005914 | 12,745.604463 | 338.421283 | 989.5 | 34.201241 | 989.5 | 34.201241 | 80.738139 | 53.782128 | 81.260446 | 54.130052 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 565.997192 | 14,475.164228 | 0.001412 | 14,473.570029 | 384.302224 | 989.5 | 38.838022 | 989.5 | 38.838022 | 105.399663 | 70.209918 | 106.250109 | 70.776427 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.668562 | 99.032647 | 148.784546 | 99.109908 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 523.44 MiB is free. Including non-PyTorch memory, this process has 139.29 GiB memory in use. Of the allocated memory 138.46 GiB is allocated by PyTorch, and 110.61 MiB is reserved by PyTorch but unallocated. If reserved... |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 196.986702 | 10,396.024119 | 0.000852 | 10,396.640888 | 276.051604 | 989.5 | 27.89809 | 989.5 | 27.89809 | 68.407361 | 45.568222 | 68.826431 | 45.847378 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 321.352951 | 12,762.881148 | 0.003692 | 12,746.109804 | 338.434701 | 989.5 | 34.202597 | 989.5 | 34.202597 | 80.738139 | 53.782128 | 81.260446 | 54.130052 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 565.311737 | 14,489.747148 | 0.003335 | 14,491.119612 | 384.768201 | 989.5 | 38.885114 | 989.5 | 38.885114 | 105.399663 | 70.209918 | 106.250109 | 70.776427 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.668562 | 99.032647 | 148.784546 | 99.109908 | null | CUDA out of memory. Tried to allocate 1000.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 523.44 MiB is free. Including non-PyTorch memory, this process has 139.29 GiB memory in use. Of the allocated memory 138.46 GiB is allocated by PyTorch, and 110.61 MiB is reserved by PyTorch but unallocated. If reserved... |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 49.667198 | 97.622407 | 50.19743 | 98.664595 | null | CUDA out of memory. Tried to allocate 266.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 122.50 MiB is free. Process 2308332 has 47.25 GiB memory in use. Of the allocated memory 46.26 GiB is allocated by PyTorch, and 505.67 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 49.667198 | 97.622407 | 50.19743 | 98.664595 | null | CUDA out of memory. Tried to allocate 266.00 MiB. GPU 0 has a total capacity of 47.38 GiB of which 122.50 MiB is free. Process 2312978 has 47.25 GiB memory in use. Of the allocated memory 46.26 GiB is allocated by PyTorch, and 505.67 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is larg... |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.08558 | 98.141724 | 50.616861 | 99.182757 | null | CUDA out of memory. Tried to allocate 134.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 60.25 MiB is free. Process 1348507 has 47.46 GiB memory in use. Of the allocated memory 46.65 GiB is allocated by PyTorch, and 506.67 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large... |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 50.08558 | 98.141724 | 50.616861 | 99.182757 | null | CUDA out of memory. Tried to allocate 134.00 MiB. GPU 0 has a total capacity of 47.53 GiB of which 60.25 MiB is free. Process 1380474 has 47.46 GiB memory in use. Of the allocated memory 46.65 GiB is allocated by PyTorch, and 506.67 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large... |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 363.580078 | 5,631.66437 | 0.000378 | 5,632.871885 | 149.564011 | 468 | 31.958122 | 468 | 31.958122 | 68.357292 | 67.034072 | 68.784488 | 67.453 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 567.598114 | 7,216.47409 | 0.000038 | 7,216.37352 | 191.609146 | 468 | 40.942125 | 468 | 40.942125 | 80.68807 | 79.126158 | 81.197531 | 79.625758 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed11_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 11 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 100.894063 | 98.941016 | 101.15403 | 99.195951 | null | CUDA out of memory. Tried to allocate 134.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 111.75 MiB is free. Including non-PyTorch memory, this process has 94.85 GiB memory in use. Of the allocated memory 93.96 GiB is allocated by PyTorch, and 247.92 MiB is reserved by PyTorch but unallocated. If reserved but... |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 363.694534 | 5,629.777509 | 0.000731 | 5,631.099197 | 149.516943 | 468 | 31.948065 | 468 | 31.948065 | 68.357292 | 67.034072 | 68.80546 | 67.473565 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 567.442596 | 7,216.733327 | 0.000199 | 7,218.351294 | 191.66166 | 468 | 40.953346 | 468 | 40.953346 | 80.68807 | 79.126158 | 81.218503 | 79.646324 | FLASH_ATTENTION | null |
rtxpro6000_server_training_seed22_merged_v2.json | baseline_reused | NVIDIA RTX PRO 6000 Blackwell Server Edition | GPU-0adc4b73-c849-be4e-7fc3-492d46abdd3e | 22 | 4b | 4B | 3,999,611,392 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 468 | null | 468 | null | 101.033524 | 99.077777 | 101.237916 | 99.278213 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 94.97 GiB of which 53.75 MiB is free. Including non-PyTorch memory, this process has 94.91 GiB memory in use. Of the allocated memory 94.09 GiB is allocated by PyTorch, and 174.92 MiB is reserved by PyTorch but unallocated. If reserved but u... |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 862.818481 | 4,747.491921 | 0.000837 | 4,747.232573 | 138.174521 | 312 | 44.286705 | 312 | 44.286705 | 80.703561 | 94.974149 | 80.956359 | 95.271648 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.023023 | 98.880582 | 84.401979 | 99.326548 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 20.75 MiB is free. Process 764857 has 79.11 GiB memory in use. Of the allocated memory 78.25 GiB is allocated by PyTorch, and 361.40 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 4b | 4B | 3,999,611,392 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 862.512024 | 4,750.325537 | 0.001226 | 4,748.919304 | 138.223615 | 312 | 44.302441 | 312 | 44.302441 | 80.703561 | 94.974149 | 80.956359 | 95.271648 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 4b | 4B | 3,999,611,392 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 84.023023 | 98.880582 | 84.401979 | 99.326548 | null | CUDA out of memory. Tried to allocate 56.00 MiB. GPU 0 has a total capacity of 79.14 GiB of which 20.75 MiB is free. Process 852916 has 79.11 GiB memory in use. Of the allocated memory 78.25 GiB is allocated by PyTorch, and 361.40 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large t... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 417.52388 | 19,606.246242 | 0.00101 | 19,620.434644 | 571.078858 | 2,250 | 25.381283 | 2,250 | 25.381283 | 105.365437 | 55.020252 | 106.134766 | 55.421984 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 752.880554 | 21,753.96967 | 0.001449 | 21,761.752125 | 633.404752 | 2,250 | 28.151322 | 2,250 | 28.151322 | 154.689124 | 80.776342 | 156.30703 | 81.621188 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.179778 | 99.309029 | 190.446567 | 99.448343 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 193.81 MiB is free. Including non-PyTorch memory, this process has 178.15 GiB memory in use. Of the allocated memory 177.12 GiB is allocated by PyTorch, and 214.43 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 | 4b | 4B | 3,999,611,392 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 415.889832 | 19,695.563824 | 0.000652 | 19,697.524149 | 573.32265 | 2,250 | 25.481007 | 2,250 | 25.481007 | 105.365437 | 55.020252 | 106.134766 | 55.421984 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 749.503632 | 21,849.388486 | 0.0009 | 21,859.800686 | 636.258586 | 2,250 | 28.278159 | 2,250 | 28.278159 | 154.689124 | 80.776342 | 156.30703 | 81.621188 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 4b | 4B | 3,999,611,392 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 190.179778 | 99.309029 | 190.446567 | 99.448343 | null | CUDA out of memory. Tried to allocate 448.00 MiB. GPU 0 has a total capacity of 178.35 GiB of which 193.81 MiB is free. Including non-PyTorch memory, this process has 178.15 GiB memory in use. Of the allocated memory 177.12 GiB is allocated by PyTorch, and 214.43 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 | 4b | 4B | 3,999,611,392 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 869.833099 | 18,834.373355 | 0.00038 | 18,835.797364 | 548.240946 | 2,250 | 24.366264 | 2,250 | 24.366264 | 154.689124 | 53.818271 | 156.193784 | 54.341761 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 1,510.46814 | 21,693.197604 | 0.000766 | 21,693.936562 | 631.43089 | 2,250 | 28.063595 | 2,250 | 28.063595 | 253.336498 | 88.138919 | 256.064356 | 89.087975 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 4b | 4B | 3,999,611,392 | 4,096 | 16 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.29438 | 99.605377 | 286.433214 | 99.653679 | null | CUDA out of memory. Tried to allocate 224.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 93.62 MiB is free. Including non-PyTorch memory, this process has 267.58 GiB memory in use. Of the allocated memory 266.63 GiB is allocated by PyTorch, and 132.40 MiB is reserved by PyTorch but unallocated. If reserved b... |
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