Archive v2-reproduction-20260922 gpu-benchmark
Browse files- confidence-v2/v2-reproduction-20260922/benchmark-dispatch.json +14 -0
- confidence-v2/v2-reproduction-20260922/benchmark-pause.json +10 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/A100-80GB/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/B200/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/B300/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/H100/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/H200/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/L40S/result.json +1194 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/RTX-PRO-6000/result.json +1204 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/B200/result.json +1728 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/B300/result.json +1728 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/RTX-PRO-6000/result.json +1728 -0
- confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-h200-retry-20260922/H200/result.json +1728 -0
- confidence-v2/v2-reproduction-20260922/gpu-cost-confirm-20260922-dispatch.json +11 -0
- confidence-v2/v2-reproduction-20260922/gpu-cost-h200-retry-20260922-dispatch.json +8 -0
- confidence-v2/v2-reproduction-20260922/gpu-selection.json +1096 -0
confidence-v2/v2-reproduction-20260922/benchmark-dispatch.json
ADDED
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@@ -0,0 +1,14 @@
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{
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+
"app_id": "ap-j5TQEj8QvmS3TBHzBNp0Gd",
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| 3 |
+
"campaign": "v2-reproduction-20260922",
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| 4 |
+
"benchmark_id": "gpu-cost-20260922",
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| 5 |
+
"calls": {
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| 6 |
+
"A100-80GB": "fc-01M3542NDV55YGMV6AJ923SVTR",
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| 7 |
+
"RTX-PRO-6000": "fc-01M3542NHREP21C8Q6XTB3A9R8",
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| 8 |
+
"L40S": "fc-01M3542NMRYTG26SSZZ9G605TG",
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| 9 |
+
"H100!": "fc-01M3542NQMJW12T1ZGESVMQVXM",
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| 10 |
+
"H200": "fc-01M3542NSXCMSWT4AYSQWK2C2Y",
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| 11 |
+
"B200": "fc-01M3542NXTS4GK5S7J8MQ177HE",
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| 12 |
+
"B300": "fc-01M3542P0T0TBQ2VAG6JF3W90G"
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+
}
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}
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confidence-v2/v2-reproduction-20260922/benchmark-pause.json
ADDED
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@@ -0,0 +1,10 @@
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{
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"time": 1790099392.5898902,
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"calls": {
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| 4 |
+
"esmfold2_300": "fc-01M3528H3ZEPENMVKRAYX8754X",
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"esmfold2_600": "fc-01M3528J5PKFCS0KP6AVD4SPYJ"
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},
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"stage": "validation_cache_before_optimizer_updates",
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"reason": "user-requested GPU cost-throughput comparison",
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"production_call_preserved": "fc-01M3528K0Z4BDW41K1AW47W8MH"
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+
}
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/A100-80GB/result.json
ADDED
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@@ -0,0 +1,1204 @@
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/B200/result.json
ADDED
|
@@ -0,0 +1,1204 @@
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|
| 1 |
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{
|
| 2 |
+
"gpu_requested": "B200",
|
| 3 |
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"gpu_actual": "NVIDIA B200",
|
| 4 |
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"compute_capability": [
|
| 5 |
+
10,
|
| 6 |
+
0
|
| 7 |
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],
|
| 8 |
+
"gpu_memory_gib": 178.3511962890625,
|
| 9 |
+
"driver": "580.95.05",
|
| 10 |
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"torch_cuda": "13.2",
|
| 11 |
+
"environment": {
|
| 12 |
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"python": "3.12.10",
|
| 13 |
+
"platform": "Linux-4.19.0-gvisor-x86_64-with-glibc2.36",
|
| 14 |
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"packages": {
|
| 15 |
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"torch": "2.13.0+cu132",
|
| 16 |
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"transformers": "5.13.0",
|
| 17 |
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"numpy": "1.26.4",
|
| 18 |
+
"scipy": "1.16.3",
|
| 19 |
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"safetensors": "0.8.0",
|
| 20 |
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"DockQ": "2.1.3",
|
| 21 |
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"tmtools": "0.2.0"
|
| 22 |
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}
|
| 23 |
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},
|
| 24 |
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"source_files": {
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| 25 |
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"src/fastplms/models.toml": {
|
| 26 |
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"size": 83488,
|
| 27 |
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"sha256": "0967a7805cd5ba107825a7dc473008d49c0334bd18714e1dfa9e51d0c42ee6f1"
|
| 28 |
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},
|
| 29 |
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"src/fastplms/__init__.py": {
|
| 30 |
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"size": 1857,
|
| 31 |
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"sha256": "8503e02debf24abc6d33c1913ff3eb9f245e63f7e62017e220d072c7393fdf2c"
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| 32 |
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| 33 |
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| 34 |
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"size": 2259,
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| 35 |
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"sha256": "ae5c77f7293ae4a411fe1e57ac1e0ba69d47c077de8e46f6561f9af58ba2b5e2"
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| 36 |
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| 37 |
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"src/fastplms/attention/_auto.py": {
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| 38 |
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"size": 7050,
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/B300/result.json
ADDED
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|
confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/H100/result.json
ADDED
|
@@ -0,0 +1,1204 @@
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/H200/result.json
ADDED
|
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|
| 1 |
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{
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| 2 |
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"gpu_requested": "H200",
|
| 3 |
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"gpu_actual": "NVIDIA H200",
|
| 4 |
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"compute_capability": [
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| 5 |
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|
| 6 |
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0
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| 7 |
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],
|
| 8 |
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|
| 9 |
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"driver": "580.95.05",
|
| 10 |
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"torch_cuda": "13.2",
|
| 11 |
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"environment": {
|
| 12 |
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"python": "3.12.10",
|
| 13 |
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"platform": "Linux-4.19.0-gvisor-x86_64-with-glibc2.36",
|
| 14 |
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"packages": {
|
| 15 |
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"torch": "2.13.0+cu132",
|
| 16 |
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"transformers": "5.13.0",
|
| 17 |
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"numpy": "1.26.4",
|
| 18 |
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"scipy": "1.16.3",
|
| 19 |
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"safetensors": "0.8.0",
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| 20 |
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"DockQ": "2.1.3",
|
| 21 |
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"tmtools": "0.2.0"
|
| 22 |
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}
|
| 23 |
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},
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| 24 |
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"source_files": {
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| 25 |
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| 26 |
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"size": 83488,
|
| 27 |
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"sha256": "0967a7805cd5ba107825a7dc473008d49c0334bd18714e1dfa9e51d0c42ee6f1"
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| 28 |
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| 29 |
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| 30 |
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"size": 1857,
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| 31 |
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"sha256": "8503e02debf24abc6d33c1913ff3eb9f245e63f7e62017e220d072c7393fdf2c"
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| 32 |
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"size": 2259,
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| 35 |
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/L40S/result.json
ADDED
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| 1140 |
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| 1142 |
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| 1143 |
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| 1145 |
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|
confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-20260922/RTX-PRO-6000/result.json
ADDED
|
@@ -0,0 +1,1204 @@
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/B200/result.json
ADDED
|
@@ -0,0 +1,1728 @@
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confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/B300/result.json
ADDED
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 8 |
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| 9 |
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| 11 |
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| 12 |
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| 18 |
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| 21 |
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| 22 |
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|
confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-confirm-20260922/RTX-PRO-6000/result.json
ADDED
|
@@ -0,0 +1,1728 @@
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|
confidence-v2/v2-reproduction-20260922/benchmarks/gpu-cost-h200-retry-20260922/H200/result.json
ADDED
|
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| 1721 |
+
"ranking": 0.34378376603126526,
|
| 1722 |
+
"ranking_pairs": 6.0
|
| 1723 |
+
}
|
| 1724 |
+
}
|
| 1725 |
+
}
|
| 1726 |
+
},
|
| 1727 |
+
"elapsed_seconds": 426.853619178
|
| 1728 |
+
}
|
confidence-v2/v2-reproduction-20260922/gpu-cost-confirm-20260922-dispatch.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"app_id": "ap-LtijZHFEriQdC8DUTMV8Wp",
|
| 3 |
+
"campaign": "v2-reproduction-20260922",
|
| 4 |
+
"benchmark_id": "gpu-cost-confirm-20260922",
|
| 5 |
+
"calls": {
|
| 6 |
+
"RTX-PRO-6000": "fc-01M354K5A4YMG4JHQZ8HN75NJV",
|
| 7 |
+
"H200": "fc-01M354K5D520HP4KF23JFK7QXC",
|
| 8 |
+
"B200": "fc-01M354K5G2D17T577P6A8JS053",
|
| 9 |
+
"B300": "fc-01M354K5JQ3GMA6QERGY3CGWM7"
|
| 10 |
+
}
|
| 11 |
+
}
|
confidence-v2/v2-reproduction-20260922/gpu-cost-h200-retry-20260922-dispatch.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"app_id": "ap-uhFc8eOij2vKNvgTVQtvkV",
|
| 3 |
+
"campaign": "v2-reproduction-20260922",
|
| 4 |
+
"benchmark_id": "gpu-cost-h200-retry-20260922",
|
| 5 |
+
"calls": {
|
| 6 |
+
"H200": "fc-01M354RYB8KZ01C44WNJ4SKJ69"
|
| 7 |
+
}
|
| 8 |
+
}
|
confidence-v2/v2-reproduction-20260922/gpu-selection.json
ADDED
|
@@ -0,0 +1,1096 @@
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|
| 1 |
+
{
|
| 2 |
+
"campaign": "v2-reproduction-20260922",
|
| 3 |
+
"selected_gpu": "RTX-PRO-6000",
|
| 4 |
+
"criterion": "Lowest measured dollars per complete v2 optimizer update for both models",
|
| 5 |
+
"screening": "Seven GPUs; one warmup target followed by the same 16 training targets, one optimizer and EMA update, a 1024-token training guard and a 2048-token evaluation probe.",
|
| 6 |
+
"confirmation": "RTX PRO 6000, H200, B200 and B300 repeated the same panel twice; selection uses the second update. Other GPUs retain screening measurements.",
|
| 7 |
+
"limitations": [
|
| 8 |
+
"One 16-target panel, not a full-epoch throughput estimate or statistical hardware ranking.",
|
| 9 |
+
"Costs include GPU, four physical CPU cores and 64 GiB host RAM; setup, validation, checkpoint upload, idle time and final evaluation are excluded.",
|
| 10 |
+
"Failed or stalled first H200 confirmation excluded and replaced after a GPU hardware fault was logged in that app.",
|
| 11 |
+
"Training moves from CUDA 13.0 to 13.2; existing partial validation caches are retained. Evaluation remains H200/CUDA 13.0."
|
| 12 |
+
],
|
| 13 |
+
"reports": [
|
| 14 |
+
"benchmarks/gpu-cost-20260922/A100-80GB/result.json",
|
| 15 |
+
"benchmarks/gpu-cost-20260922/B200/result.json",
|
| 16 |
+
"benchmarks/gpu-cost-20260922/B300/result.json",
|
| 17 |
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"benchmarks/gpu-cost-20260922/H100/result.json",
|
| 18 |
+
"benchmarks/gpu-cost-20260922/H200/result.json",
|
| 19 |
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"benchmarks/gpu-cost-20260922/L40S/result.json",
|
| 20 |
+
"benchmarks/gpu-cost-20260922/RTX-PRO-6000/result.json",
|
| 21 |
+
"benchmarks/gpu-cost-confirm-20260922/B200/result.json",
|
| 22 |
+
"benchmarks/gpu-cost-confirm-20260922/B300/result.json",
|
| 23 |
+
"benchmarks/gpu-cost-confirm-20260922/RTX-PRO-6000/result.json",
|
| 24 |
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"benchmarks/gpu-cost-h200-retry-20260922/H200/result.json"
|
| 25 |
+
],
|
| 26 |
+
"selected_measurements": {
|
| 27 |
+
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|
| 28 |
+
"status": "passed",
|
| 29 |
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"model_id": "esmfold2_300",
|
| 30 |
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"gpu": "RTX-PRO-6000",
|
| 31 |
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| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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| 53 |
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| 54 |
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| 55 |
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| 68 |
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| 70 |
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| 83 |
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