source_file stringclasses 73
values | source_kind stringclasses 2
values | gpu_name stringclasses 10
values | gpu_uuid stringclasses 11
values | seed int64 11 22 | model_key stringclasses 9
values | model_label stringclasses 9
values | actual_unique_parameters float64 150M 7.98B ⌀ | sequence_length int64 512 32.8k | batch_size float64 1 512 ⌀ | tokens_per_step float64 1.02k 131k ⌀ | status stringclasses 3
values | stable bool 1
class | warmup_steps_executed float64 11 45 ⌀ | measured_steps float64 20 20 ⌀ | median_step_time_ms float64 42.4 3.59k ⌀ | mean_based_tokens_per_second float64 3.64k 244k ⌀ | measured_robust_relative_jitter float64 0 0.06 ⌀ | tokens_per_second float64 3.64k 244k ⌀ | achieved_tflops float64 19.8 668 ⌀ | dense_bf16_peak_tflops float64 155 2.25k | model_flops_utilization_pct float64 0.88 100 ⌀ | configured_clock_dense_bf16_peak_tflops float64 181 2.25k | configured_clock_model_flops_utilization_pct float64 0.88 78 ⌀ | peak_allocated_gb float64 4.62 286 ⌀ | peak_allocated_vram_pct float64 1.61 99.6 ⌀ | peak_reserved_gb float64 4.66 287 ⌀ | peak_reserved_vram_pct float64 1.62 99.7 ⌀ | selected_sdpa_backend stringclasses 1
value | error stringclasses 553
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 444.009033 | 73,793.645644 | 0.000493 | 73,800.300331 | 388.491885 | 2,250 | 17.266306 | 2,250 | 17.266306 | 95.806666 | 33.332331 | 98.209628 | 34.168351 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 2,048 | 32 | 65,536 | complete | true | 11 | 20 | 823.082275 | 79,622.649466 | 0.00015 | 79,622.659799 | 419.141345 | 2,250 | 18.628504 | 2,250 | 18.628504 | 181.684508 | 63.210301 | 186.925449 | 65.033689 | FLASH_ATTENTION | null |
b300_training_seed11_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 2,048 | 64 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.447146 | 99.310613 | 286.410146 | 99.645653 | null | CUDA out of memory. Tried to allocate 768.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 697.62 MiB is free. Including non-PyTorch memory, this process has 266.99 GiB memory in use. Of the allocated memory 265.84 GiB is allocated by PyTorch, and 336.39 MiB is reserved by PyTorch but unallocated. If reserved ... |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 96.085793 | 21,256.135924 | 0.005602 | 21,314.285347 | 112.20045 | 2,250 | 4.986687 | 2,250 | 4.986687 | 15.296173 | 5.321729 | 15.365833 | 5.345964 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 107.969952 | 37,939.587047 | 0.001516 | 37,936.480828 | 199.701287 | 2,250 | 8.875613 | 2,250 | 8.875613 | 20.663554 | 7.189108 | 21.049115 | 7.323249 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 154.544426 | 52,996.76645 | 0.000834 | 53,007.411616 | 279.036117 | 2,250 | 12.401605 | 2,250 | 12.401605 | 31.398284 | 10.923854 | 32.054968 | 11.152322 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 252.687981 | 64,855.690174 | 0.00059 | 64,838.857621 | 341.317988 | 2,250 | 15.169688 | 2,250 | 15.169688 | 52.867745 | 18.393346 | 54.112813 | 18.826521 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 444.593719 | 73,683.571738 | 0.000335 | 73,703.245377 | 387.980978 | 2,250 | 17.243599 | 2,250 | 17.243599 | 95.806666 | 33.332331 | 98.209628 | 34.168351 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 32 | 65,536 | complete | true | 11 | 20 | 823.379944 | 79,550.22247 | 0.000307 | 79,593.874601 | 418.989817 | 2,250 | 18.62177 | 2,250 | 18.62177 | 181.684508 | 63.210301 | 186.925449 | 65.033689 | FLASH_ATTENTION | null |
b300_training_seed22_v2.json | baseline_reused | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 2,048 | 64 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 285.447146 | 99.310613 | 286.410146 | 99.645653 | null | CUDA out of memory. Tried to allocate 768.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 697.62 MiB is free. Including non-PyTorch memory, this process has 266.99 GiB memory in use. Of the allocated memory 265.84 GiB is allocated by PyTorch, and 336.39 MiB is reserved by PyTorch but unallocated. If reserved ... |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 140.578484 | 14,572.011623 | 0.001279 | 14,568.374532 | 76.689326 | 165.2 | 46.42211 | 205.516667 | 37.31538 | 15.296173 | 60.552407 | 15.365833 | 60.828168 | FLASH_ATTENTION | null |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 251.179329 | 16,305.628287 | 0.000751 | 16,307.074382 | 85.842009 | 165.2 | 51.962475 | 205.516667 | 41.76888 | 20.663554 | 81.800067 | 21.049115 | 83.326372 | FLASH_ATTENTION | null |
rtx4090_training_seed11_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.682069 | 97.708017 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 3.69 MiB is free. Including non-PyTorch memory, this process has 23.51 GiB memory in use. Of the allocated memory 22.99 GiB is allocated by PyTorch, and 69.41 MiB is reserved by PyTorch but unallocated. If reserved but unal... |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 140.406685 | 14,585.461206 | 0.000986 | 14,586.200093 | 76.783161 | 165.2 | 46.478911 | 205.516667 | 37.361039 | 15.296173 | 60.552407 | 15.365833 | 60.828168 | FLASH_ATTENTION | null |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 251.345184 | 16,296.099828 | 0.000867 | 16,296.313816 | 85.785365 | 165.2 | 51.928187 | 205.516667 | 41.741318 | 20.663554 | 81.800067 | 21.049115 | 83.326372 | FLASH_ATTENTION | null |
rtx4090_training_seed22_v2.json | baseline_reused | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.682069 | 97.708017 | 24.754782 | 97.995865 | null | CUDA out of memory. Tried to allocate 2.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 3.69 MiB is free. Including non-PyTorch memory, this process has 23.51 GiB memory in use. Of the allocated memory 22.99 GiB is allocated by PyTorch, and 69.41 MiB is reserved by PyTorch but unallocated. If reserved but unal... |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 113.438736 | 18,052.29683 | 0.000472 | 18,053.797785 | 95.036929 | 209.5 | 45.363689 | 268.946822 | 35.336699 | 15.296173 | 45.431219 | 15.365833 | 45.638117 | null | null |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 186.815155 | 21,914.959879 | 0.001048 | 21,925.416058 | 115.417501 | 209.5 | 55.091886 | 268.946822 | 42.914618 | 20.663554 | 61.372899 | 21.049115 | 62.518054 | null | null |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 325.943039 | 25,133.958735 | 0.000237 | 25,133.225813 | 132.30372 | 209.5 | 63.152134 | 268.946822 | 49.193264 | 31.398284 | 93.256161 | 32.054968 | 95.206581 | null | null |
rtx5090_training_seed11.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.93149 | 97.809942 | 32.986104 | 97.97215 | null | CUDA out of memory. Tried to allocate 48.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 39.88 MiB is free. Including non-PyTorch memory, this process has 31.31 GiB memory in use. Of the allocated memory 30.67 GiB is allocated by PyTorch, and 52.08 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 113.748627 | 17,995.008158 | 0.000459 | 18,004.612972 | 94.778016 | 209.5 | 45.240103 | 268.946822 | 35.24043 | 15.296173 | 45.431219 | 15.365833 | 45.638117 | null | null |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 187.373611 | 21,858.224492 | 0.000507 | 21,860.068599 | 115.073505 | 209.5 | 54.927687 | 268.946822 | 42.786713 | 20.663554 | 61.372899 | 21.049115 | 62.518054 | null | null |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 326.048172 | 25,122.334452 | 0.000311 | 25,125.121695 | 132.261059 | 209.5 | 63.13177 | 268.946822 | 49.177402 | 31.398284 | 93.256161 | 32.054968 | 95.206581 | null | null |
rtx5090_training_seed22.json | baseline_reused | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.93149 | 97.809942 | 32.986104 | 97.97215 | null | CUDA out of memory. Tried to allocate 48.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 39.88 MiB is free. Including non-PyTorch memory, this process has 31.31 GiB memory in use. Of the allocated memory 30.67 GiB is allocated by PyTorch, and 52.08 MiB is reserved by PyTorch but unallocated. If reserved but un... |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 69.466064 | 29,476.60915 | 0.001062 | 29,482.021418 | 155.196199 | 989.5 | 15.684305 | 989.5 | 15.684305 | 15.346242 | 18.050687 | 15.47069 | 18.197067 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 106.485939 | 38,469.291389 | 0.001132 | 38,465.172374 | 202.48437 | 989.5 | 20.463302 | 989.5 | 20.463302 | 20.713624 | 24.363955 | 21.153972 | 24.881905 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 183.19738 | 44,715.216622 | 0.000328 | 44,716.796698 | 235.393522 | 989.5 | 23.789138 | 989.5 | 23.789138 | 31.448354 | 36.99045 | 32.117883 | 37.77797 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 335.08847 | 48,756.465406 | 0.000586 | 48,894.55008 | 257.385618 | 989.5 | 26.011684 | 989.5 | 26.011684 | 52.917814 | 62.243442 | 54.175728 | 63.723036 | FLASH_ATTENTION | null |
h100_sxm_training_seed11_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 11 | 700m | 700M | 707,480,064 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.480006 | 98.191564 | 83.865108 | 98.644532 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 79.18 GiB of which 606.19 MiB is free. Including non-PyTorch memory, this process has 78.58 GiB memory in use. Of the allocated memory 77.75 GiB is allocated by PyTorch, and 107.26 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 69.613361 | 29,414.942999 | 0.001238 | 29,419.639564 | 154.867814 | 989.5 | 15.651118 | 989.5 | 15.651118 | 15.346242 | 18.050687 | 15.47069 | 18.197067 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 106.635506 | 38,409.810367 | 0.000409 | 38,411.221235 | 202.200366 | 989.5 | 20.4346 | 989.5 | 20.4346 | 20.713624 | 24.363955 | 21.153972 | 24.881905 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 183.377953 | 44,675.298725 | 0.000744 | 44,672.76401 | 235.16173 | 989.5 | 23.765713 | 989.5 | 23.765713 | 31.448354 | 36.99045 | 32.117883 | 37.77797 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 335.121201 | 48,888.868066 | 0.000229 | 48,889.774722 | 257.36048 | 989.5 | 26.009144 | 989.5 | 26.009144 | 52.917814 | 62.243442 | 54.175728 | 63.723036 | FLASH_ATTENTION | null |
h100_sxm_training_seed22_v2.json | baseline_reused | NVIDIA H100 80GB HBM3 | GPU-8f62317d-f779-de5a-419c-ecd52f14c564 | 22 | 700m | 700M | 707,480,064 | 2,048 | 16 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 83.480006 | 98.191564 | 83.865108 | 98.644532 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 79.18 GiB of which 606.19 MiB is free. Including non-PyTorch memory, this process has 78.58 GiB memory in use. Of the allocated memory 77.75 GiB is allocated by PyTorch, and 107.26 MiB is reserved by PyTorch but unallocated. If reserved but u... |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 17 | 20 | 67.128494 | 30,559.30497 | 0.001227 | 30,508.653925 | 160.600491 | 989.5 | 16.230469 | 989.5 | 16.230469 | 15.346242 | 10.222598 | 15.47069 | 10.305497 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 99.522896 | 41,155.617133 | 0.000506 | 41,156.358711 | 216.651034 | 989.5 | 21.895001 | 989.5 | 21.895001 | 20.713624 | 13.797974 | 21.153972 | 14.091304 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 167.62912 | 48,862.094252 | 0.000676 | 48,869.79068 | 257.255282 | 989.5 | 25.998513 | 989.5 | 25.998513 | 31.448354 | 20.948704 | 32.117883 | 21.394698 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 307.05159 | 53,356.956769 | 0.001555 | 53,359.111418 | 280.887499 | 989.5 | 28.386811 | 989.5 | 28.386811 | 52.917814 | 35.250164 | 54.175728 | 36.088099 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 586.023743 | 55,893.293973 | 0.003655 | 55,915.823223 | 294.346276 | 989.5 | 29.746971 | 989.5 | 29.746971 | 95.856735 | 63.853084 | 98.524201 | 65.629964 | FLASH_ATTENTION | null |
h200_training_seed11_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 11 | 700m | 700M | 707,480,064 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.274793 | 98.770346 | 149.006844 | 99.257987 | null | CUDA out of memory. Tried to allocate 1024.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 751.44 MiB is free. Including non-PyTorch memory, this process has 139.07 GiB memory in use. Of the allocated memory 138.09 GiB is allocated by PyTorch, and 258.14 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 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 65.756496 | 31,123.22765 | 0.006244 | 31,145.21167 | 163.951392 | 989.5 | 16.569115 | 989.5 | 16.569115 | 15.346242 | 10.222598 | 15.47069 | 10.305497 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 99.04467 | 41,358.310551 | 0.00117 | 41,355.077418 | 217.697108 | 989.5 | 22.000718 | 989.5 | 22.000718 | 20.713624 | 13.797974 | 21.153972 | 14.091304 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 167.149933 | 49,008.891807 | 0.000483 | 49,009.891059 | 257.992784 | 989.5 | 26.073045 | 989.5 | 26.073045 | 31.448354 | 20.948704 | 32.117883 | 21.394698 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 306.302612 | 53,503.143914 | 0.001519 | 53,489.586252 | 281.574331 | 989.5 | 28.456223 | 989.5 | 28.456223 | 52.917814 | 35.250164 | 54.175728 | 36.088099 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 585.900269 | 55,931.555736 | 0.002536 | 55,927.607067 | 294.408307 | 989.5 | 29.75324 | 989.5 | 29.75324 | 95.856735 | 63.853084 | 98.524201 | 65.629964 | FLASH_ATTENTION | null |
h200_training_seed22_v2.json | baseline_reused | NVIDIA H200 | GPU-b23aad41-8254-c13e-e269-0db430f83167 | 22 | 700m | 700M | 707,480,064 | 2,048 | 32 | null | oom | null | null | null | null | null | null | null | null | 989.5 | null | 989.5 | null | 148.274793 | 98.770346 | 149.006844 | 99.257987 | null | CUDA out of memory. Tried to allocate 1024.00 MiB. GPU 0 has a total capacity of 139.81 GiB of which 751.44 MiB is free. Including non-PyTorch memory, this process has 139.07 GiB memory in use. Of the allocated memory 138.09 GiB is allocated by PyTorch, and 258.14 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 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 160.145599 | 12,818.769732 | 0.0044 | 12,788.362641 | 67.319172 | 364.2 | 18.484122 | 451.433533 | 14.912311 | 15.296173 | 30.065098 | 15.365833 | 30.202017 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 284.699219 | 14,382.373851 | 0.003972 | 14,387.113593 | 75.735151 | 364.2 | 20.794934 | 451.433533 | 16.77659 | 20.663554 | 40.614852 | 21.049115 | 41.372683 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 550.51825 | 14,884.465999 | 0.004227 | 14,880.523956 | 78.33251 | 364.2 | 21.508103 | 451.433533 | 17.351948 | 31.398284 | 61.714295 | 32.054968 | 63.005028 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed11_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 11 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 49.723551 | 97.733172 | 49.918509 | 98.116367 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.38 GiB of which 468.50 MiB is free. Process 2308332 has 46.92 GiB memory in use. Of the allocated memory 46.31 GiB is allocated by PyTorch, and 105.93 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 159.803909 | 12,836.006888 | 0.005505 | 12,815.706505 | 67.463113 | 364.2 | 18.523644 | 451.433533 | 14.944196 | 15.296173 | 30.065098 | 15.365833 | 30.202017 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 283.866196 | 14,430.369943 | 0.004201 | 14,429.333476 | 75.9574 | 364.2 | 20.855958 | 451.433533 | 16.825821 | 20.663554 | 40.614852 | 21.049115 | 41.372683 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 551.350739 | 14,869.545997 | 0.003546 | 14,858.05573 | 78.214236 | 364.2 | 21.475628 | 451.433533 | 17.325748 | 31.398284 | 61.714295 | 32.054968 | 63.005028 | FLASH_ATTENTION | null |
rtx6000_ada_training_seed22_v2.json | baseline_reused | NVIDIA RTX 6000 Ada Generation | GPU-5b377adf-91ee-db42-9c14-0b8ba36df6b5 | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 364.2 | null | 451.433533 | null | 49.723551 | 97.733172 | 49.918509 | 98.116367 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.38 GiB of which 468.50 MiB is free. Process 2312978 has 46.92 GiB memory in use. Of the allocated memory 46.31 GiB is allocated by PyTorch, and 105.93 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large ... |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 262.294708 | 7,808.276038 | 0.003951 | 7,808.011125 | 41.102122 | 154.8 | 26.551758 | 180.6 | 22.75865 | 15.296173 | 29.972554 | 15.365833 | 30.109051 | FLASH_ATTENTION | null |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 423.356247 | 9,671.231853 | 0.001158 | 9,675.066872 | 50.930483 | 154.8 | 32.900829 | 180.6 | 28.200711 | 20.663554 | 40.489834 | 21.049115 | 41.245332 | FLASH_ATTENTION | null |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 745.671143 | 10,986.616724 | 0.000948 | 10,986.07621 | 57.831763 | 154.8 | 37.35902 | 180.6 | 32.022017 | 31.398284 | 61.524329 | 32.054968 | 62.811089 | FLASH_ATTENTION | null |
a6000_training_seed11_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 11 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 49.723551 | 97.432335 | 49.918509 | 97.814351 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.53 GiB of which 806.25 MiB is free. Process 1348507 has 46.73 GiB memory in use. Of the allocated memory 46.31 GiB is allocated by PyTorch, and 105.93 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 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 261.466705 | 7,828.667134 | 0.001933 | 7,832.737241 | 41.232283 | 154.8 | 26.635842 | 180.6 | 22.830721 | 15.296173 | 29.972554 | 15.365833 | 30.109051 | FLASH_ATTENTION | null |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 423.424118 | 9,668.411594 | 0.001145 | 9,673.516046 | 50.92232 | 154.8 | 32.895555 | 180.6 | 28.19619 | 20.663554 | 40.489834 | 21.049115 | 41.245332 | FLASH_ATTENTION | null |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 745.814728 | 10,981.981836 | 0.001072 | 10,983.961157 | 57.820629 | 154.8 | 37.351827 | 180.6 | 32.015852 | 31.398284 | 61.524329 | 32.054968 | 62.811089 | FLASH_ATTENTION | null |
a6000_training_seed22_v2.json | baseline_reused | NVIDIA RTX A6000 | GPU-18d70bd6-a015-e960-7fda-6a87d5e18b1f | 22 | 700m | 700M | 707,480,064 | 2,048 | 8 | null | oom | null | null | null | null | null | null | null | null | 154.8 | null | 180.6 | null | 49.723551 | 97.432335 | 49.918509 | 97.814351 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 47.53 GiB of which 806.25 MiB is free. Process 1380474 has 46.73 GiB memory in use. Of the allocated memory 46.31 GiB is allocated by PyTorch, and 105.93 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 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 96.942638 | 21,126.525233 | 0.000613 | 21,125.895002 | 111.208745 | 468 | 23.762552 | 468 | 23.762552 | 15.296173 | 15.000078 | 15.365833 | 15.06839 | 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 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 145.00032 | 28,246.97078 | 0.000532 | 28,248.213437 | 148.701315 | 468 | 31.773785 | 468 | 31.773785 | 20.663554 | 20.263561 | 21.049115 | 20.641659 | 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 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 261.675797 | 31,304.662555 | 0.00078 | 31,305.914071 | 164.797345 | 468 | 35.213108 | 468 | 35.213108 | 31.398284 | 30.790495 | 32.054968 | 31.434468 | 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 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 534.197998 | 30,667.01872 | 0.000149 | 30,670.275927 | 161.451285 | 468 | 34.498138 | 468 | 34.498138 | 52.867745 | 51.844363 | 54.112813 | 53.06533 | 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 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 1,065.050049 | 30,766.665585 | 0.000124 | 30,766.629264 | 161.958498 | 468 | 34.606517 | 468 | 34.606517 | 95.806666 | 93.952098 | 98.209628 | 96.308545 | 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 | 700m | 700M | 707,480,064 | 2,048 | 1 | 2,048 | complete | true | 11 | 20 | 96.986397 | 21,107.131423 | 0.000347 | 21,116.363406 | 111.15857 | 468 | 23.751831 | 468 | 23.751831 | 15.296173 | 15.000078 | 15.365833 | 15.06839 | 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 | 700m | 700M | 707,480,064 | 2,048 | 2 | 4,096 | complete | true | 11 | 20 | 145.003166 | 28,237.1444 | 0.00045 | 28,247.65905 | 148.698396 | 468 | 31.773162 | 468 | 31.773162 | 20.663554 | 20.263561 | 21.049115 | 20.641659 | 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 | 700m | 700M | 707,480,064 | 2,048 | 4 | 8,192 | complete | true | 11 | 20 | 261.530289 | 31,322.92807 | 0.000161 | 31,323.331767 | 164.889033 | 468 | 35.232699 | 468 | 35.232699 | 31.398284 | 30.790495 | 32.054968 | 31.434468 | 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 | 700m | 700M | 707,480,064 | 2,048 | 8 | 16,384 | complete | true | 11 | 20 | 533.824524 | 30,691.407633 | 0.000106 | 30,691.733455 | 161.564239 | 468 | 34.522273 | 468 | 34.522273 | 52.867745 | 51.844363 | 54.112813 | 53.06533 | 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 | 700m | 700M | 707,480,064 | 2,048 | 16 | 32,768 | complete | true | 11 | 20 | 1,064.767944 | 30,775.149061 | 0.000198 | 30,774.780716 | 162.001408 | 468 | 34.615685 | 468 | 34.615685 | 95.806666 | 93.952098 | 98.209628 | 96.308545 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 700m | 700M | 707,480,064 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 432.623474 | 18,904.608217 | 0.00293 | 18,935.634541 | 118.978502 | 312 | 38.134135 | 312 | 38.134135 | 31.406002 | 36.959439 | 32.01722 | 37.678736 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 700m | 700M | 707,480,064 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 819.492249 | 19,992.81322 | 0.001748 | 19,992.86757 | 125.621427 | 312 | 40.263278 | 312 | 40.263278 | 52.876103 | 62.226038 | 54.167339 | 63.7456 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed11_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 11 | 700m | 700M | 707,480,064 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 83.437015 | 98.190951 | 83.52537 | 98.29493 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 79.14 GiB of which 856.75 MiB is free. Process 764857 has 78.29 GiB memory in use. Of the allocated memory 77.71 GiB is allocated by PyTorch, and 84.26 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 700m | 700M | 707,480,064 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 433.560196 | 18,845.862286 | 0.005174 | 18,894.723448 | 118.721445 | 312 | 38.051745 | 312 | 38.051745 | 31.406002 | 36.959439 | 32.01722 | 37.678736 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 700m | 700M | 707,480,064 | 4,096 | 4 | 16,384 | complete | true | 11 | 20 | 819.387085 | 19,987.986379 | 0.001375 | 19,995.433539 | 125.63755 | 312 | 40.268446 | 312 | 40.268446 | 52.876103 | 62.226038 | 54.167339 | 63.7456 | FLASH_ATTENTION | null |
a100_pcie_context_frontier_seed22_v2.json | context_frontier | NVIDIA A100 80GB PCIe | GPU-2e75422d-0492-4288-c66f-44c400810994 | 22 | 700m | 700M | 707,480,064 | 4,096 | 8 | null | oom | null | null | null | null | null | null | null | null | 312 | null | 312 | null | 83.437015 | 98.190951 | 83.52537 | 98.29493 | null | CUDA out of memory. Tried to allocate 1.95 GiB. GPU 0 has a total capacity of 79.14 GiB of which 856.75 MiB is free. Process 852916 has 78.29 GiB memory in use. Of the allocated memory 77.71 GiB is allocated by PyTorch, and 84.26 MiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large tr... |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 700m | 700M | 707,480,064 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 495.386902 | 66,128.259 | 0.000943 | 66,146.27855 | 415.617714 | 2,250 | 18.471898 | 2,250 | 18.471898 | 95.816304 | 50.033837 | 98.465481 | 51.417198 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 700m | 700M | 707,480,064 | 4,096 | 16 | 65,536 | complete | true | 11 | 20 | 950.830261 | 68,889.275463 | 0.000653 | 68,925.025498 | 433.077449 | 2,250 | 19.247887 | 2,250 | 19.247887 | 181.696706 | 94.879296 | 186.868826 | 97.5801 | FLASH_ATTENTION | null |
b200_context_frontier_seed11_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 11 | 700m | 700M | 707,480,064 | 4,096 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 189.187074 | 98.790654 | 190.278795 | 99.360735 | null | CUDA out of memory. Tried to allocate 2.00 GiB. GPU 0 has a total capacity of 178.35 GiB of which 1.13 GiB is free. Including non-PyTorch memory, this process has 177.21 GiB memory in use. Of the allocated memory 176.19 GiB is allocated by PyTorch, and 199.15 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 700m | 700M | 707,480,064 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 495.293793 | 66,130.243242 | 0.000427 | 66,158.713235 | 415.695845 | 2,250 | 18.475371 | 2,250 | 18.475371 | 95.816304 | 50.033837 | 98.465481 | 51.417198 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 700m | 700M | 707,480,064 | 4,096 | 16 | 65,536 | complete | true | 11 | 20 | 949.400177 | 69,007.595704 | 0.000252 | 69,028.847463 | 433.729794 | 2,250 | 19.27688 | 2,250 | 19.27688 | 181.696706 | 94.879296 | 186.868826 | 97.5801 | FLASH_ATTENTION | null |
b200_context_frontier_seed22_v2.json | context_frontier | NVIDIA B200 | GPU-c4a7ec32-9030-147d-7e07-b6668d499a32 | 22 | 700m | 700M | 707,480,064 | 4,096 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 189.187074 | 98.790654 | 190.278795 | 99.360735 | null | CUDA out of memory. Tried to allocate 2.00 GiB. GPU 0 has a total capacity of 178.35 GiB of which 1.13 GiB is free. Including non-PyTorch memory, this process has 177.21 GiB memory in use. Of the allocated memory 176.19 GiB is allocated by PyTorch, and 199.15 MiB is reserved by PyTorch but unallocated. If reserved but ... |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 506.644043 | 64,681.787654 | 0.000243 | 64,676.572151 | 406.38309 | 2,250 | 18.061471 | 2,250 | 18.061471 | 95.816304 | 33.335684 | 98.465481 | 34.257366 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 4,096 | 16 | 65,536 | complete | true | 11 | 20 | 945.525208 | 69,299.635768 | 0.000449 | 69,311.742806 | 435.507314 | 2,250 | 19.355881 | 2,250 | 19.355881 | 181.696706 | 63.214544 | 186.868826 | 65.013989 | FLASH_ATTENTION | null |
b300_context_frontier_seed11_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 11 | 700m | 700M | 707,480,064 | 4,096 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.284696 | 99.602007 | 286.519198 | 99.683593 | null | CUDA out of memory. Tried to allocate 384.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 13.62 MiB is free. Including non-PyTorch memory, this process has 267.66 GiB memory in use. Of the allocated memory 266.62 GiB is allocated by PyTorch, and 223.64 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 | 700m | 700M | 707,480,064 | 4,096 | 8 | 32,768 | complete | true | 11 | 20 | 505.969971 | 64,763.561125 | 0.000268 | 64,762.736718 | 406.924489 | 2,250 | 18.085533 | 2,250 | 18.085533 | 95.816304 | 33.335684 | 98.465481 | 34.257366 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 4,096 | 16 | 65,536 | complete | true | 11 | 20 | 944.86557 | 69,360.08179 | 0.000137 | 69,360.131299 | 435.811354 | 2,250 | 19.369394 | 2,250 | 19.369394 | 181.696706 | 63.214544 | 186.868826 | 65.013989 | FLASH_ATTENTION | null |
b300_context_frontier_seed22_v2.json | context_frontier | NVIDIA B300 SXM6 AC | GPU-589e52a7-94b4-3cdf-33cc-048fbf864c10 | 22 | 700m | 700M | 707,480,064 | 4,096 | 32 | null | oom | null | null | null | null | null | null | null | null | 2,250 | null | 2,250 | null | 286.284696 | 99.602007 | 286.519198 | 99.683593 | null | CUDA out of memory. Tried to allocate 384.00 MiB. GPU 0 has a total capacity of 267.69 GiB of which 13.62 MiB is free. Including non-PyTorch memory, this process has 267.66 GiB memory in use. Of the allocated memory 266.62 GiB is allocated by PyTorch, and 223.64 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 | 700m | 700M | 707,480,064 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 269.443802 | 15,201.210287 | 0.000374 | 15,201.685737 | 95.516936 | 165.2 | 57.818969 | 205.516667 | 46.476492 | 20.670919 | 81.829223 | 20.759708 | 82.180707 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed11_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 11 | 700m | 700M | 707,480,064 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.659704 | 97.619483 | 24.744296 | 97.954355 | null | CUDA out of memory. Tried to allocate 24.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 13.69 MiB is free. Including non-PyTorch memory, this process has 23.50 GiB memory in use. Of the allocated memory 22.97 GiB is allocated by PyTorch, and 80.67 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 | 700m | 700M | 707,480,064 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 269.438019 | 15,203.790885 | 0.000636 | 15,202.012018 | 95.518986 | 165.2 | 57.82021 | 205.516667 | 46.477489 | 20.670919 | 81.829223 | 20.759708 | 82.180707 | FLASH_ATTENTION | null |
rtx4090_context_frontier_seed22_v2.json | context_frontier | NVIDIA GeForce RTX 4090 | GPU-5447a6b8-ccd6-9d49-4872-492ff5116ee3 | 22 | 700m | 700M | 707,480,064 | 4,096 | 2 | null | oom | null | null | null | null | null | null | null | null | 165.2 | null | 205.516667 | null | 24.659704 | 97.619483 | 24.744296 | 97.954355 | null | CUDA out of memory. Tried to allocate 24.00 MiB. GPU 0 has a total capacity of 23.53 GiB of which 13.69 MiB is free. Including non-PyTorch memory, this process has 23.50 GiB memory in use. Of the allocated memory 22.97 GiB is allocated by PyTorch, and 80.67 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 | 700m | 700M | 707,480,064 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 200.372322 | 20,442.047727 | 0.000425 | 20,441.945062 | 128.443121 | 209.5 | 61.309366 | 268.946822 | 47.757813 | 20.670919 | 61.394774 | 20.759708 | 61.658485 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 350.085953 | 23,400.118583 | 0.000195 | 23,399.967738 | 147.029301 | 209.5 | 70.181051 | 268.946822 | 54.66854 | 31.406002 | 93.279084 | 32.063357 | 95.231496 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed11.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 11 | 700m | 700M | 707,480,064 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.938568 | 97.830964 | 33.009172 | 98.040666 | null | CUDA out of memory. Tried to allocate 48.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 19.88 MiB is free. Including non-PyTorch memory, this process has 31.33 GiB memory in use. Of the allocated memory 30.68 GiB is allocated by PyTorch, and 67.33 MiB is reserved by PyTorch but unallocated. If reserved but un... |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 4,096 | 1 | 4,096 | complete | true | 11 | 20 | 200.348236 | 20,442.371684 | 0.000321 | 20,444.402606 | 128.458563 | 209.5 | 61.316736 | 268.946822 | 47.763555 | 20.670919 | 61.394774 | 20.759708 | 61.658485 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 4,096 | 2 | 8,192 | complete | true | 11 | 20 | 350.084015 | 23,399.095342 | 0.000266 | 23,400.097267 | 147.030115 | 209.5 | 70.181439 | 268.946822 | 54.668843 | 31.406002 | 93.279084 | 32.063357 | 95.231496 | FLASH_ATTENTION | null |
rtx5090_context_frontier_seed22.json | context_frontier | NVIDIA GeForce RTX 5090 | GPU-c3733010-4951-8bd3-2692-36d9198c8d52 | 22 | 700m | 700M | 707,480,064 | 4,096 | 4 | null | oom | null | null | null | null | null | null | null | null | 209.5 | null | 268.946822 | null | 32.938568 | 97.830964 | 33.009172 | 98.040666 | null | CUDA out of memory. Tried to allocate 48.00 MiB. GPU 0 has a total capacity of 31.36 GiB of which 19.88 MiB is free. Including non-PyTorch memory, this process has 31.33 GiB memory in use. Of the allocated memory 30.68 GiB is allocated by PyTorch, and 67.33 MiB is reserved by PyTorch but unallocated. If reserved but un... |
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