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How to monitor your mining rig's temperature? What is the best monitoring software?
Real-time temperature tracking tools—like GPU-Z, HWiNFO64, and Open Hardware Monitor—combined with hardware sensors and CLI scripts, enable precise thermal management across mining rigs.
Dec 28, 2025 at 09:59 pm
Real-Time Temperature Tracking Tools
1. GPU-Z provides instantaneous core and memory junction temperature readings for NVIDIA and AMD graphics cards. It displays sensor data without requiring elevated system privileges.
2. HWiNFO64 delivers comprehensive thermal telemetry across CPU, GPU, VRM, SSD, and motherboard sensors. Its logging function records temperature spikes at user-defined intervals.
3. MSI Afterburner overlays real-time GPU die temperature directly onto the mining interface during operation. This eliminates context switching between mining software and monitoring dashboards.
4. Open Hardware Monitor operates as a lightweight background service, publishing temperature metrics via HTTP API. Third-party dashboards can pull values every 500 milliseconds.
5. Claymore’s Dual Miner embeds thermal thresholds into its command-line configuration. When GPU temperature exceeds the defined limit, it automatically reduces core clock speed to prevent thermal throttling.
Hardware-Based Sensor Integration
1. PCIe slot temperature probes attach directly to riser cables and feed analog voltage signals to Arduino-based microcontrollers. These units convert readings into digital serial output compatible with Linux monitoring scripts.
2. DS18B20 one-wire sensors mount on heatsinks using thermal epoxy. Each sensor carries a unique 64-bit address, enabling simultaneous polling of up to 128 devices on a single bus.
3. ASUS ProArt Z690-CREATOR WIFI motherboards include dedicated 4-pin thermal sensor headers. These accept industrial-grade NTC thermistors rated for continuous operation above 85°C.
4. Raspberry Pi 4B units equipped with Sense HAT expansion boards monitor ambient air temperature and humidity inside mining cabinets. Data streams over MQTT to centralized Grafana visualization servers.
5. Custom PCBs with MAX31855 thermocouple amplifiers interface with K-type probes placed at exhaust vents. Raw millivolt outputs undergo cold-junction compensation before conversion to Celsius.
Command-Line Monitoring Scripts
1. A Bash script invoking nvidia-smi --query-gpu=temperature.gpu --format=csv,noheader,nounits extracts GPU temperatures every 3 seconds and writes timestamps to a rotating log file.
2. Python’s psutil library retrieves CPU package temperature from /sys/class/hwmon/hwmon/temp_input paths on Linux systems. The script triggers email alerts when values exceed 72°C for more than 60 consecutive seconds.
3. PowerShell commands on Windows use WMI queries to pull thermal data from Win32_PerfFormattedData_Counters_ThermalZoneInformation. Output is formatted into JSON for ingestion by Elasticsearch clusters.
4. Cron jobs execute sensors | grep 'Package id 0' | awk '{print $4}' every 10 seconds to capture Intel CPU package temperature and append results to a time-series CSV archive.
5. Shell functions pipe lm-sensors output through sed and awk to isolate GPU memory junction temperatures, then compare against static thresholds stored in /etc/mining/thermal_limits.conf.
Dashboard Visualization Platforms
1. Grafana dashboards connect to InfluxDB time-series databases populated by Telegraf agents collecting thermal metrics from rig hosts. Heatmap panels display temperature distribution across 24-hour rolling windows.
2. Node-RED flows ingest MQTT messages from ESP32-based sensor nodes and render dynamic gauge widgets showing real-time GPU core temperature with configurable color gradients.
3. Prometheus exporters expose /metrics endpoints containing scraped thermal values. Alertmanager rules trigger PagerDuty incidents when GPU temperature variance exceeds 15°C across identical rigs in the same rack.
4. Custom web interfaces built with Vue.js fetch JSON payloads from REST APIs hosted on local mining controllers. SVG-based thermal maps highlight overheating components using red-to-yellow fill transitions.
5. Kibana visualizations group logs by rig ID and plot kernel temperature spikes alongside fan RPM curves. Correlation analysis identifies failed thermal paste applications based on sustained 5°C+ deviations from baseline.
Frequently Asked Questions
Q: Can I use IPMI to monitor GPU temperatures on server-grade mining rigs?A: IPMI does not natively report GPU thermal data. Motherboard BMC firmware must include vendor-specific extensions like NVIDIA's NVML over IPMI or AMD's SMU telemetry bridges to expose those metrics.
Q: Does overclocking validation require different temperature monitoring intervals?A: Yes. During stability testing, sampling rates should increase to 100ms intervals to capture transient thermal spikes that occur during memory controller bursts or shader compilation events.
Q: How do dust accumulation patterns affect thermal sensor accuracy?A: Dust layers insulate thermistors mounted on heatsinks, causing 3–7°C reading offsets within 48 hours of operation in non-filtered environments. Sensors embedded in GPU die silicon remain unaffected.
Q: Are there BIOS-level thermal limits that override software controls?A: Yes. Most UEFI implementations enforce hardware throttle points at 95°C for CPUs and 105°C for GPUs. These cannot be disabled via software and trigger immediate frequency reduction regardless of monitoring tool settings.
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