Datasetpublic

Jr23xd23/gpu-database

GPU Database Comprehensive GPU specifications database with architecture, manufacturing, API support, performance details, and kernel development specs. 2,824 GPUs across NVIDIA, AMD, and Intel Part of RightNow — AI-powered code editor for GPU kernel development Data Vendor GPUs File NVIDIA 1,286 data/nvidia/all.json AMD 1,292 data/amd/all.json Intel 180 data/intel/all.json All 2,824 data/all-gpus.json Schema Each GPU contains… See the full description on the dataset page: https://huggingface.co/datasets/Jr23xd23/gpu-database.

sourceHugging Faceapache-2.0updated 9mo agoView on Hugging Face

1likes150downloads

Dataset Card

GPU Database

Comprehensive GPU specifications database with architecture, manufacturing, API support, performance details, and kernel development specs.

2,824 GPUs across NVIDIA, AMD, and Intel

Part of RightNow — AI-powered code editor for GPU kernel development

Data

Vendor	GPUs	File
NVIDIA	1,286	`data/nvidia/all.json`
AMD	1,292	`data/amd/all.json`
Intel	180	`data/intel/all.json`
All	2,824	`data/all-gpus.json`

Schema

Each GPU contains up to 55 fields:

json

{
  "name": "GeForce RTX 4090",
  "vendor": "nvidia",
  "manufacturer": "NVIDIA",
  "gpuName": "AD102",
  "architecture": "Ada Lovelace",
  "generation": "GeForce 40",

  "foundry": "TSMC",
  "processSize": 5,
  "transistors": 76.3,
  "transistorDensity": 125.3,
  "dieSize": 609.0,
  "chipPackage": "BGA-2150",
  "releaseDate": "2022-09-20",

  "baseClock": 2235.0,
  "boostClock": 2520.0,
  "memoryClock": 1313.0,

  "memorySize": 24.0,
  "memoryType": "GDDR6X",
  "memoryBus": 384,
  "memoryBandwidth": 1010.0,

  "shaders": 16384,
  "tmus": 512,
  "rops": 176,
  "sms": 128,
  "tensorCores": 512,
  "rtCores": 128,
  "coresPerSM": 128,

  "l1Cache": 128.0,
  "l2Cache": 72.0,

  "tdp": 450,
  "suggestedPSU": 850,
  "powerConnectors": "1x 16-pin",

  "length": 304.0,
  "width": 61.0,
  "slot": "Triple-slot",
  "displayOutputs": "1x HDMI 2.1, 3x DisplayPort 1.4a",
  "busInterface": "PCIe 4.0 x16",

  "pixelRate": 443.5,
  "textureRate": 1290.2,
  "fp16": 82.58,
  "fp32": 82.58,
  "fp64": 1.29,

  "directX": "12.2",
  "openGL": "4.6",
  "vulkan": "1.4",
  "openCL": "3.0",
  "cuda": "8.9",
  "shaderModel": "6.8",

  "warpSize": 32,
  "maxThreadsPerBlock": 1024,
  "maxThreadsPerSM": 1536,
  "maxBlocksPerSM": 24,
  "sharedMemPerSM": 102400,
  "registersPerSM": 65536,

  "url": "https://www.techpowerup.com/gpu-specs/geforce-rtx-4090.c3889"
}

Only populated fields are included — no nulls or zeros.

Usage

Python:

python

from datasets import load_dataset

ds = load_dataset("Jr23xd23/gpu-database")

Direct JSON:

python

import requests

gpus = requests.get(
    'https://huggingface.co/datasets/Jr23xd23/gpu-database/resolve/main/data/nvidia/all.json'
).json()

rtx4090 = next(g for g in gpus if g['name'] == 'GeForce RTX 4090')
print(rtx4090['cuda'])            # 8.9
print(rtx4090['maxThreadsPerSM']) # 1536

Source

Data sourced from TechPowerUp GPU Database via dbgpu.

License

Apache 2.0

Built by RightNow