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README.md
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| 4 GPU | 52,940 | 904 | 98.32% | 2,133.89 GB | 100 h 2 m |
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| **Total / Combined** | **101,971** | **1,777** | **98.29%** | **4,186.91 GB** | **192.7 h** |
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## Task Details
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| Item | Description / Value |
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| Time Duration | Approximately 24 hours per configuration |
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| Task | Kitchen-scene robotic manipulation data generation |
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| Instruction | *Pick up the red potato chip and place it into the yellow basket* |
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| Throughput Benchmark | 1 GPU / 2 GPU / 4 GPU comparison |
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| Best Throughput Configuration | 4 GPU |
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| Best Data Scale | 52,940 successful trajectories |
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| Best Data Duration | 100 h 2 m |
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| Best Data Size | 2,133.89 GB |
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| Best Distribution Accuracy | 98.32% |
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## Quantitative Results
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### 1. Scaling Performance
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| 4 GPU | 52,940 | 904 | 98.32% | 2,133.89 GB | 100 h 2 m |
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| **Total / Combined** | **101,971** | **1,777** | **98.29%** | **4,186.91 GB** | **192.7 h** |
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## Quantitative Results
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### 1. Scaling Performance
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