gpu-unlock

A family of NVIDIA GeForce graphics processing units (GPUs) for consumer PCs and workstations, including hardware-accelerated ray tracing and AI processing through Tensor Cores. GeForce RTX GPUs are used for gaming, rendering, scientific and parallel computing, and workloads such as physical simulation and robotics development.

gputaskman is a terminal GPU task manager for Windows, Linux, WSL, and Apple Silicon macOS. It shows device telemetry and per-process GPU memory, GPU activity, engine usage, system-RAM spill or paging estimates, and detected runtimes and model information. On Windows it combines WDDM process and adapter counters with NVIDIA NVML or AMD ADL/SMI data; on Linux it uses NVML, and in WSL it streams Windows host counters and matches them to Linux processes using GPU-context evidence. On macOS it reads IOKit and Metal statistics, where Apple GPUs share memory with the CPU. The tool's model inspector combines mapped DLLs, command-line arguments, model files, GGUF metadata, compatible runtime logs, and local server APIs to identify candidate models and estimate weights, KV-cache, and other buffer sizes. These classifications and breakdowns are estimates or runtime-reported values rather than GPU-memory inspection, and WSL per-process ownership can be inferred or guessed. It provides an interactive Textual terminal UI, one-shot text and JSON output, snapshot comparison, history charts, and support for local workloads including graphics, video, training, and several LLM runtimes. The project describes itself as early experimental software. It is distributed under the MIT license, with portable Windows and Linux builds and source-based execution on macOS; Windows releases include native x64 and ARM64 ZIPs and require a supported GPU with a current driver. It does not monitor cloud workloads, dump model weights, or enumerate individual game textures.

TensorRT is NVIDIA's inference-serving runtime for optimizing models for high throughput. In the cited context, it is used as a serving-runtime option when deciding whether to run inference on dedicated GPUs, alongside measurements of latency, throughput, precision, memory use, and workload performance.

vgpu is an open-source TypeScript library for WebGPU, developed by Vercel Labs, covering typed shaders, 3D scenes, GPU tensors, neural networks, and mathematical visualization. WGSL files can import and export declarations like TypeScript modules; reflection tracks binding names, types, and layouts so shader bindings do not require handwritten declarations. Its tiny GPU-first API uses a single context returned by init(), which is passed explicitly to rendering entry points. The same API runs in browsers, headless Node through a Dawn-backed device, and a deterministic software mock for tests and continuous integration. Explicit frame passes handle targets, effects, clears, and draws without hidden scene-graph state. The package includes a CLI for documentation, examples, and shader validation, and the video describes an MCP endpoint for agent access.