Fragmented telemetry
NVIDIA tools, PDU portals, network monitoring, ticketing. Four panes, no correlation.
Operators run GPU pods through a patchwork of vendor dashboards — none of which correlate. When a workload degrades, the customer finds out first. The cost is reputation, SLA credits, and trust.
NVIDIA tools, PDU portals, network monitoring, ticketing. Four panes, no correlation.
Failures detected after impact. Customer-reported, not operator-detected.
Every pod treated as an island. Patterns across the fleet stay invisible.
Provision pods, register hardware, baseline telemetry from day one.
Continuous metadata stream across every node, GPU, fan, PSU, and network interface.
Anomaly correlation across signals — predicted failures before customer impact.
Auto-isolate, drain workloads, notify the tenant, open the incident.
Every incident feeds the baseline. The fleet gets smarter with every event.
One pane across every vendor, every protocol, every metric. The full pod in one view.
Anomalies surfaced hours before failure, correlated across telemetry sources.
Built for multi-tenant GPU operators. Workloads, SLAs, and customer impact are first-class data.
HelloHive is a single platform for the operators running AI's physical infrastructure. We unify telemetry from every layer of your pod deployment — GPU, thermal, power, network, workload — and apply correlation models that catch anomalies before they reach your customers. Built for data centers offering GPU-as-a-service, enterprises running production AI workloads, and venues deploying edge compute. One platform, every signal, full lifecycle.
Learn more about the HelloHive platform →Data centers, enterprises, and venues running AI workloads. Tell us about your pods and we'll show you what HelloHive sees.