* [ffmpeg-over-ip v5.0.0](https://github.com/steelbrain/ffmpeg-over-ip) – Tunnels file I/O over TCP to provide remote GPU-accelerated ffmpeg transcoding without GPU passthrough or shared filesystems.

* [GoGPU v0.24.0](https://github.com/gogpu/gogpu) – Pure Go GPU computing ecosystem offering WebGPU-compatible APIs with selectable Rust or native backends and zero CGO.

* [MGPUSIM v4.2.0](https://github.com/sarchlab/mgpusim) – High-accuracy, high-performance simulator for AMD GCN3 GPUs with multi-GPU support.

* [GPUd v0.11.2-test.0](https://github.com/leptonai/gpud) – GPU-focused monitoring and diagnostics tool that detects GPU and fabric errors and reports critical system metrics.

* [Kubernetes AI Toolchain Operator (KAITO) v0.9.2](https://github.com/kaito-project/kaito) – Operator automating AI/ML model inference and tuning workloads in Kubernetes clusters with GPU auto-provisioning and large model management.

* [wgpu v0.21.0](https://github.com/gogpu/wgpu) – Pure Go WebGPU implementation providing W3C-compliant API and multiple hardware backends without Rust or CGO.

* [Semantic Search v0.4.1](https://github.com/kelindar/search) – Go library for embedded vector search and GGUF BERT-based semantic embeddings with optional GPU acceleration.

* [TypeGPU v0.10.2](https://github.com/software-mansion/TypeGPU) – TypeScript library enhancing the WebGPU API for type-safe resource management.

* [MasterSelects native-helper-v0.3.1...](https://github.com/Sportinger/MasterSelects) – Browser-based video compositor with multi-track timeline, real-time GPU effects, keyframe animation, AI controls, and live performance output.