Fleet Observability: Every Server Tested, Every Metric Visible
Real Time Monitoring
A renter opens a ticket: training jobs are running 20% slower than expected. Your team scrambles. Was the server tested before handoff? You check a spreadsheet. Is the interconnect healthy? You SSH into a monitoring box at one of three data center facilities. By the time you have answers, the renter is already asking about their contract terms.
The Problem
AI Factory operators running hundreds of GPU servers across multiple data center facilities face two blind spots that directly affect revenue.
Blind Spot #1: Proving Quality. When a server is handed off to a customer, can you prove it was tested? That the GPUs hit their rated throughput? That the interconnect performed? Most teams track this in spreadsheets or manual QA checklists - if they track it at all. Some track it in their heads. When a renter reports an issue, there's no record to fall back on.
Blind Spot #2: Visibility. Each data center facility has its own management network, its own monitoring setup, its own way of surfacing hardware health. Teams stitch tools together across sites - a Grafana instance here, a custom script there, a shared Slack channel for alerts. Nothing is unified. Nothing gives you a single view of the whole fleet.
These aren't just operational headaches. Customers running production AI workloads stay with operators who can demonstrate consistent hardware quality. When you can't prove the server was healthy at handoff, and you can't see what's happening across your fleet in real time, you lose the renters who matter most. Fleet observability is a revenue retention concern.
Customer Value
Hydra's Fleet Observability gives AI Factories two things they've been missing: validated proof that servers were tested before handoff, and real-time visibility across the entire fleet from one place.
For operators, the day looks different. When a renter reports degraded performance, you pull up the server's test history and show exactly what was validated at handoff - no scrambling, no guesswork. Instead of logging into three different monitoring setups to understand fleet health, one dashboard covers all of it. Servers that fail testing are held back from inventory before they reach a customer, reducing the risk of handing off hardware that isn't ready.
For your enterprise AI customers, the value is trust. We built quality and monitoring around workload security and privacy - their compute environment stays untouched during the rental. For investors and lenders, auditable test records per server satisfy reporting requirements without custom builds.
The Solution
Hydra Fleet Observability gives operators two capabilities in one platform: Server Test History that validates every server before it reaches a customer, and Real-Time Monitoring that keeps the entire fleet visible after deployment.
Hardware metrics are exposed via Prometheus-compatible endpoints on each server: chassis power, temperatures, fans, connectivity, and more. Network monitoring tracks link state and reachability across all nodes regardless of location. A pre-built Grafana dashboard with 40+ panels across 7 categories gives operators a production-ready view with up to 5-second refresh - importable in minutes, compatible with all major OEMs including Dell, HPE, Supermicro, Lenovo, and more.
Because the data is native Prometheus, operators can configure alerting using Grafana's built-in alerting engine - setting thresholds for temperature, power, connectivity, or any other metric and routing to PagerDuty, Slack, email, or any webhook. One monitoring layer spans every cluster we manage for you - one view, regardless of data center facility or geography.
All test runs are stored. Operators can pull up any server and see its complete history from onboarding through each subsequent handoff - an auditable quality record for the entire fleet.
Real-Time Monitoring
Real-time monitoring operates on the management plane - BMC and network-level signals that provide hardware health visibility without any access to the customer's compute environment.
Hardware metrics are exposed via Prometheus-compatible endpoints on each server: chassis power, temperatures, fans, connectivity, and more. Network monitoring tracks link state and reachability across all nodes regardless of location. A pre-built Grafana dashboard with 40+ panels across 7 categories gives operators a production-ready view with up to 5-second refresh - importable in minutes, compatible with all major OEMs including Dell, HPE, Supermicro, Lenovo, and more.
Because the data is native Prometheus, operators can configure alerting using Grafana's built-in alerting engine - setting thresholds for temperature, power, connectivity, or any other metric and routing to PagerDuty, Slack, email, or any webhook. One monitoring layer spans every cluster we manage for you - one view, regardless of data center facility or geography.
Privacy and Security by Design
Hydra honors the privacy and security required by today's major AI Platforms. We do not perform OS-level GPU monitoring while a server is rented. The monitoring boundary is the management plane - never the compute plane.
We balance observability with the security boundaries enterprise AI customers require. Server quality is proven before handoff through the testing pipeline. During the rental, customers who want to verify server health use the Diagnostics CLI - a self-service toolkit for running GPU burn-in, NCCL benchmarks, and hardware checks on their own terms.
Proof Points
- Automated quality gate - Servers that fail GPU burn-in or NCCL testing are automatically held back from inventory and surfaced for operator review. No manual tracking, no spreadsheets, no trying to remember which node had which issue.
- Full test history per server - Every test run stored and viewable over the server's entire lifecycle. Pull up any server and see its complete record from onboarding through every handoff.
- 40+ monitoring panels, 7 categories - System status, connectivity, power, temperature, fans, and more - in a single pre-built Grafana dashboard. Ready to import in minutes.
- Up to 5-second metrics refresh - Real-time BMC and network data across your entire fleet. Default 30-minute window with configurable range.
- Native Prometheus - Standard endpoints. No custom exporters or agents required. Build any custom dashboard, fleet-level rollup, or automated query on top of Hydra's data.
- Quality and monitoring built around workload security and privacy - Management-plane monitoring during active rental. Customers verify server health independently with the Diagnostics CLI. The security bar enterprise AI customers demand - proven, not promised.
Hydra Fleet Observability vs. the Alternatives
CURRENTLY IN PRIVATE BETA.
How to get Started
When participating, log into your Hydra dashboard and review your fleet's server test history - every server that's been through onboarding or pre-handoff validation is already there. Import the monitoring dashboard and connect your Prometheus instance to start seeing real-time fleet health across all your clusters. Our infrastructure team is available to answer any questions.
