EdgeTelemetry automates GPU rack onboarding end-to-end — hardware discovery, telemetry ingestion, schema normalization, readiness validation, and signed operational handoff. What previously required weeks of manual SRE effort completes in hours.
When a new GPU rack lands in a data center, the clock is already running. Customers are waiting. SLAs are in effect. And the typical process is: SREs manually pull telemetry from multiple vendor tools, check configurations against a spec document, coordinate with networking and storage teams, wait for each team to confirm their part, and then — if everything checks out — declare the rack operational.
Each step is manual, each handoff adds delay, and when something fails the diagnostic cycle starts over. The result is weeks between rack landing and operational status. For operators standing up AI infrastructure at scale, this is a capital efficiency problem: hardware that cost millions of dollars is sitting unproductive for weeks.
On rack arrival, EdgeTelemetry automatically discovers all hardware components — GPUs, host systems, cooling, power, and network — and begins real-time telemetry ingestion via NVML, IPMI/BMC, and vendor APIs. No manual inventory step.
Raw telemetry from heterogeneous vendors is normalized to a unified operational schema with validation and lineage tracking. The data becomes queryable immediately, regardless of source format.
Validation checks run automatically against configured readiness criteria: driver versions, firmware levels, thermal thresholds, network connectivity, power supply health, inter-rack dependencies. Failed checks generate specific, actionable remediation guidance with telemetry context.
When all checks pass, EdgeTelemetry generates a signed onboarding record with full telemetry lineage. The rack enters the operational fleet with a documented baseline — not just a verbal "it looks good."
EdgeTelemetry is deployed with select operators today. Tell us about your environment — rack count, vendor mix, current onboarding process — and we'll show you what automated validation looks like for your setup.