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Official Go SDK for MCP in Development, Stable Release Expected in August
The official Go SDK for the Model Context Protocol is in development, with a stable, production-ready release expected by August 2025.
detect-gpu
The detect-gpu npm package is designed to detect the GPU (Graphics Processing Unit) of the user's device. It provides information about the GPU model, vendor, and performance tier, which can be useful for optimizing graphics-intensive applications.
Detect GPU Information
This feature allows you to detect the GPU information of the user's device. The `getGPUTier` function returns an object containing the GPU model, vendor, and performance tier.
const { getGPUTier } = require('detect-gpu');
(async () => {
const gpuTier = await getGPUTier();
console.log(gpuTier);
})();
Asynchronous GPU Detection
This feature allows you to perform GPU detection asynchronously with custom tier settings for mobile and desktop devices. The `getGPUTier` function can be customized to return different performance tiers based on the device type.
const { getGPUTier } = require('detect-gpu');
(async () => {
const gpuTier = await getGPUTier({ mobileTiers: [0, 1, 2, 3], desktopTiers: [0, 1, 2, 3] });
console.log(gpuTier);
})();
gpu.js is a JavaScript library for GPU-accelerated computing in the browser. It allows you to run complex computations on the GPU, which can significantly speed up performance for certain tasks. Unlike detect-gpu, which focuses on detecting GPU information, gpu.js is designed for leveraging the GPU for computational tasks.
webgl-detect is a package that helps in detecting WebGL capabilities of the user's browser. It provides information about the WebGL version, supported extensions, and renderer details. While detect-gpu focuses on GPU detection, webgl-detect is more about understanding the WebGL capabilities of the browser.
FAQs
Classify GPU's based on their benchmark score in order to provide an adaptive experience.
The npm package detect-gpu receives a total of 458,747 weekly downloads. As such, detect-gpu popularity was classified as popular.
We found that detect-gpu demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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