| --- |
| license: mit |
| task_categories: |
| - tabular-classification |
| language: |
| - en |
| tags: |
| - artificial-intelligence |
| - gpu |
| - deep-learning |
| size_categories: |
| - n<1K |
| --- |
| |
| # AI GPU Benchmark Dataset |
|
|
| ## Description |
| This dataset contains structured GPU hardware specifications |
| and AI performance benchmark metrics. |
|
|
| ## Columns |
| - gpu_name |
| - architecture |
| - vram_gb |
| - cuda_cores |
| - tensor_cores |
| - fp16_tflops |
| - memory_bandwidth_gbps |
| - ai_training_score |
| - ai_inference_score |
| - power_watt |
|
|
| ## Purpose |
| This dataset is designed for: |
| - AI hardware benchmarking |
| - Machine learning research simulation |
| - Educational deep learning experiments |
|
|
| ## Format |
| CSV structured dataset |
