HeatSafe
A monitoring and protection app for people running distributed-AI workloads on home gaming PCs — predicts when the GPU will thermal-throttle, throttles allocation automatically, and warns before the 4090 starts roasting the bedroom.
Home users sharing their gaming or workstation GPU with AI networks while still living in the same room
- Real-time temperature, fan-curve and thermal-throttle forecasting tied to network allocation %
- Auto-cutoff if GPU exceeds a user-set temperature ceiling or ambient room sensor rises too high
- Cost calculator that factors in electricity, AC, and depreciation so users see real profit per hour
- Quiet-hours mode that ramps the worker down at night and ramps it up when the room is empty
Talos and similar clients expose an 'allocation' slider but never warn users about real-world side effects — heat, noise and electricity — which is the #1 reason hobbyists quit GPU-sharing after a week.
Real users complain about GPU noise/coil whine on r/LocalLLaMA and 4090 thermal throttling at 83C during inference is a documented pain point, but searches for 'Talos network' returned Talos Linux (Kubernetes OS) results rather than a consumer GPU-sharing client — the cited GitHub Trending source could not be verified, weakening the demand case.GPU makes a fast electronic noise when running inference : r/LocalLLaMA - Reddit ↗AI Workstation Cooling Guide: Thermal Management for GPU Inference ↗
Several monitoring tools exist (RTX-DIAG, HWMonitor, GIGAGPU thermal logging, WhaleFlux for AI clusters) but none combine auto-throttling of distributed-AI allocation with home-user-friendly alerting — moderate gap.GitHub - Party-Tools/RTX-DIAG: A comprehensive real-time monitoring and diagnostic application for NVIDIA RTX graphics cards ↗Safe GPU Temperatures: A Guide for AI Teams - WhaleFlux ↗
Established monitoring tools (HWMonitor) are free; Salad/Vast.ai hosts already provide basic client dashboards. No evidence of users paying separately for a thermal-protection layer on top of an already-thin GPU-share payout.HWMONITOR | CPUID ↗Salad vs Vast.ai: GPU Pricing Compared | GPUPerHour ↗
Distributed home-GPU inference is a real and growing category (Salad, Vast.ai, Render) but margins are thin and hyperscaler cloud pricing trends could squeeze it; AI workload patterns are also shifting toward larger centralized GPUs.Vast.ai to SaladCloud Migration Guide - docs.salad.com ↗
Building on NVML/nvidia-smi is well-trodden ground; RTX-DIAG already demonstrates real-time Python+PySide6 monitoring of RTX cards, so thermal sensing + allocation throttle is straightforward to ship as a desktop app.GitHub - Party-Tools/RTX-DIAG ↗GPU Temperature Monitoring GIGAGPU ↗