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README.md
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Comprehensive GPU specifications database with architecture, manufacturing, API support, performance details, and kernel development specs.
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| Vendor | GPUs | File |
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|--------|------|------|
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| NVIDIA | 1,286 |
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| AMD | 1,292 |
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| Intel | 180 |
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| **All** | 2,824 |
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## Schema
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## Usage
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**
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```
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```
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**JavaScript:**
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```javascript
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const gpus = await fetch(
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'https://raw.githubusercontent.com/RightNowAI/gpu-database/main/data/nvidia/all.json'
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).then(r => r.json());
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console.log(rtx4090.cuda); // "8.9"
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console.log(rtx4090.sharedMemPerSM); // 102400
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console.log(rtx4090.coresPerSM); // 128
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```
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**
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```python
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import requests
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gpus = requests.get(
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'https://
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).json()
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rtx4090 = next(g for g in gpus if g['name'] == 'GeForce RTX 4090')
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---
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license: apache-2.0
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task_categories:
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- text-generation
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- feature-extraction
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language:
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- en
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tags:
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- gpu
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- nvidia
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- amd
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- intel
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- cuda
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- hardware
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- specifications
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- machine-learning
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size_categories:
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- 1K<n<10K
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---
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# GPU Database
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Comprehensive GPU specifications database with architecture, manufacturing, API support, performance details, and kernel development specs.
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| Vendor | GPUs | File |
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|--------|------|------|
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| NVIDIA | 1,286 | `data/nvidia/all.json` |
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| AMD | 1,292 | `data/amd/all.json` |
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| Intel | 180 | `data/intel/all.json` |
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| **All** | 2,824 | `data/all-gpus.json` |
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## Schema
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## Usage
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**Python:**
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```python
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from datasets import load_dataset
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ds = load_dataset("Jr23xd23/gpu-database")
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```
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**Direct JSON:**
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```python
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import requests
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gpus = requests.get(
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'https://huggingface.co/datasets/Jr23xd23/gpu-database/resolve/main/data/nvidia/all.json'
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).json()
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rtx4090 = next(g for g in gpus if g['name'] == 'GeForce RTX 4090')
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