In the context of advanced artificial intelligence, where workloads are massive and hardware resources are pushed to the limit, real-time monitoring of energy consumption, workload and temperatures is not optional: it’s a strategic necessity. The attached image represents the monitoring dashboard of one of our flagship systems: a DELL PowerEdge XE9680 equipped with 8 NVIDIA H200 SXM GPUs and latest generation Intel 8568Y+ processors.
⚡ Energy Consumption Under Control
The total instantaneous GPU consumption reported in the dashboard is 3.19 kW, a crucial data point that allows us to:
- Optimize energy usage in real time;
- Avoid overloads and unplanned peaks;
- Improve data center efficiency while respecting Biomine’s green policies.
Thanks to precise measurement of each individual GPU’s consumption, we can immediately identify any anomalies or malfunctions, preventing failures and energy waste.
🧠 Workload: Guaranteed Operational Efficiency
The GPU load charts highlight utilization percentages over time in detail. Observing patterns such as peaks, prolonged idle periods or intermittent activity allows us to:
- Balance loads between GPUs;
- Identify inefficient processes or bottlenecks;
- Optimally plan AI jobs, optimizing time and costs.
This type of visualization is essential for maintaining constant computational efficiency, especially in AI activities that require large-scale distributed inference and training.
🌡️ Temperatures Under the Microscope
Temperatures, both GPU and memory, are a vital parameter to ensure:
- Hardware longevity;
- Operational safety (avoiding thermal throttling or thermal shutdowns);
- Consistent maximum performance.
In the case of our XE9680 system, where each GPU can use over 700W of power, even a few extra degrees can make the difference between stability and performance degradation.
🧩 A Complex System, A Unified Vision
Using advanced solutions like Grafana integrated with telemetry tools (for example Prometheus, Telegraf or Node Exporter), we are able to collect, visualize and analyze real-time data from every system component. This approach allows us to:
- Automate notifications and alerts;
- Historicize metrics for trends and reports;
- Integrate diagnostics into the daily operational cycle.
🚀 Conclusion
For a company like Biomine, engaged in mining and developing AI solutions with very high computational intensity, real-time monitoring represents a strategic asset. It’s what allows us to move from reactive to proactive management, where efficiency, safety and sustainability coexist in perfect balance.