| | --- |
| | 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 |
