v0.2.0 — Faster GPU detection and caching

AEV v0.2.0 — GPU Database, Caching and Modern Hardware Detection

Overview

This release introduces a major upgrade to AEV's hardware detection pipeline.

The project now includes a built-in GPU database with support for modern AMD, NVIDIA and Intel GPUs, integrated graphics detection, smarter PCI fallback handling and multiple performance optimizations through caching.

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New Features

Local GPU Database

AEV now ships with an internal GPU database split into vendor-specific modules:

• gpu_db/amd.rs
• gpu_db/nvidia.rs
• gpu_db/intel.rs
• gpu_db/apu.rs

This allows fast offline GPU detection without relying entirely on external PCI databases.

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Modern GPU Support

NVIDIA

Added support for:

• GTX 700 / 900 / 1000 series
• RTX 2000 / 3000 / 4000 / 5000 series
• Mobile RTX GPUs
• RTX Ada workstation GPUs
• MX mobile GPUs

Examples:

• RTX 4090
• RTX 5090
• RTX 4070 Super
• RTX 5080 Mobile
• RTX A6000
• GTX 1080 Ti

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AMD

Added support for:

• Polaris
• Vega
• RDNA 1
• RDNA 2
• RDNA 3
• RDNA 4

Examples:

• RX 580
• RX Vega 64
• RX 7900 XTX
• RX 9070 XT
• Radeon 890M
• Radeon Pro W7900

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Intel

Added support for:

• Intel Arc desktop GPUs
• Intel Arc mobile GPUs
• Intel Arc Pro GPUs
• Intel integrated graphics generations

Examples:

• Arc A770
• Arc A750
• Arc B580
• Iris Xe
• UHD 770

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Integrated GPU / APU Detection

AEV can now distinguish between:

• Integrated GPUs (iGPU)
• Dedicated GPUs (dGPU)

This is especially useful on:

• gaming laptops
• hybrid graphics systems
• AMD APUs
• Intel Iris / Xe systems

Example output:

GPU1: Intel Iris Xe Graphics (iGPU)
GPU2: NVIDIA GeForce RTX 4060 Laptop GPU (dGPU)