TUI that diagnoses AI training and inference GPU bottlenecks (VRAM, PCIe, offload).
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Updated
Aug 15, 2026 - Python
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TUI that diagnoses AI training and inference GPU bottlenecks (VRAM, PCIe, offload).
The GPU flight recorder — a cross-vendor GPU monitor that keeps persistent per-process history and a narrated event log just by being open. Your run stalled at 02:14 and you were asleep; scroll back and read why.
NVIDIA GPU management (clocks, voltage, fans) via NVML
⚡ Open-source energy dashboard for your machine — real CPU/GPU/network watts, an optimizer that names the watts you can reclaim, and a telemetry-grounded copilot. Never fabricates a number: every metric is badged measured/estimated/simulated.
Transparent library for CUDA/NVML that virtualizes GPU access, enforces memory limits, and enables container-friendly sharing with minimal performance overhead.
Python 3 Bindings for the NVIDIA Management Library
Per-process GPU memory, load, temperature and clock for Windows, with an overlay you can pin over a game.
Operations console for local LLM inference on constrained GPUs — per-card VRAM headroom, CUDA/NVML device-order reconciliation, and GGUF quant analysis before you download. Not a chat UI.
Terminal GPU history monitor for NVIDIA, AMDGPU, and Apple Silicon
Your machine's personal assistant — DL-workload-aware system monitor (TUI)
Reproducibility-oriented benchmarking framework for CPU and accelerator workloads. Two-host: cpu (Intel + iGPU) and cuda (NVIDIA) profiles. RAPL/NVML energy, randomized execution, bootstrap CIs, Mann-Whitney comparison.
Сколько ватт съедает твой ПК прямо сейчас и во что это выльется за сутки. Консольный измеритель энергопотребления с TUI для Windows и Linux.
A local NVIDIA/NVML GPU monitoring dashboard with real-time charts, diagnostics, and demo mode.
MCP server that lets AI agents share one NVIDIA GPU — cross-session model claims, real busy detection via NVML, protected eviction, and full VRAM visibility for Ollama + everything else holding memory
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