Get your money's worth
Find idle and underused GPUs and reclaim them — put expensive hardware back to work.
Applications / Private Cloud Observability
Trillo Private Cloud Observability
Complete visibility, reliability, and cost control over the GPU infrastructure in your own data centers. It ingests GPU, node, fabric, and job telemetry and turns it into centralized observability of health, utilization, reliability, cost, and capacity — across every cluster and site. Powered by the OliverDB telemetry engine, it runs entirely on-premise or in your private cloud, so your data never leaves your environment.
Business impactHigher GPU utilization, cost recovery through chargeback, lower MTTR, confident capacity planning, and audit-ready governance.
Why private cloud observability
Get your money's worth from expensive GPUs
Five things an enterprise running its own AI infrastructure gains the day it turns this on.
Recover cost fairly
Attribute GPU spend to the teams and projects that actually use it.
Keep training & inference running
Detect failures early and cut the job interruptions that waste GPU-hours.
Plan capacity
Know whether to buy more GPUs or simply schedule the ones you have better.
Stay compliant
Governance, policy, and audit — on-premise or fully air-gapped.
Why Trillo
What makes it different
OliverDB performance
High-performance telemetry storage and analytics at GPU-fleet scale — the engine underneath every view.
Model-driven customization
Customize dashboards, metrics, and policies and hot-deploy without redevelopment.
Complete platform out of the box
Health, utilization, reliability, cost, governance, and AI — together, not assembled from point tools.
Runs on-premise or private cloud
Your data stays with you — air-gap-capable — with a simple architecture and minimal operational overhead.
Complete platform
Monitor, keep reliable, recover cost — and govern it all
One platform spanning the full lifecycle of your GPU infrastructure, from live device telemetry to chargeback and conversational investigation.
Monitor
5 capabilitiesFleet inventory & topology
GPUs, nodes, racks, clusters, and sites, discovered automatically.
GPU & node health
Utilization, memory, temperature, power, and ECC / Xid errors per device.
Fabric health
NVLink and InfiniBand / RoCE link status and throughput.
Live fleet map
Health and utilization by site, cluster, and rack; worst-case surfaced.
Utilization
GPU occupancy and idle time across the fleet, per team and per cluster.
Reliability
4 capabilitiesFailure detection
Failing GPUs and nodes flagged from Xid, ECC, thermal, and fabric signals.
Job-interruption analysis
Which training and inference jobs a failure affects, and why.
Root cause
AI-assisted analysis correlating hardware, job, and fabric evidence.
Alerting & on-call routing
De-duplicated, blast-radius alerts to Slack / Teams / ServiceNow / webhook.
Utilization & cost
4 capabilitiesIdle & underutilization
Reclaimable GPUs surfaced with the cost at stake.
Right-sizing
Match allocations to real usage across teams and jobs.
Chargeback & showback
GPU cost attributed to teams, projects, and cost centers.
Capacity planning
Utilization trends that show whether to buy or schedule better.
Govern & AI
4 capabilitiesQuotas & policy
Fair-share allocation and guardrails across teams.
Compliance & audit
Versioned policies and a complete audit trail, on-prem or air-gapped.
AI Investigation Copilot
Investigate incidents conversationally from Claude Code and other AI coding agents through a secure MCP server.
Background intelligence
Sweepers turn telemetry into findings, rollups, and baselines automatically.
Architecture
Standard exporters in. No proprietary agents.
GPU, node, and fabric telemetry (DCGM, node, and network exporters) streams over OTLP. Non-standard or extended metrics are mapped at ingestion by OliverDB, at high speed — so you don't re-instrument.
Your GPU fleet
DCGM exporterNode exporterNetwork / fabricJob telemetry→ OTLP
Ingest & store
OliverDB — telemetry engine
High-speed ingestionMetric mappingFleet-scale analyticsPostgreSQL · metadata & policy
Access
DashboardsAlertsAPIsMCPChargeback export
Deployment
On-premise / air-gap-capable · Customer-owned data · Runs in your private cloud
One place to access everything
Dashboards, alerts, APIs, and MCP all read the same telemetry and AI-assisted analysis — from a browser or from an AI coding agent.
Enterprise security
On-premise / air-gap-capable deployment, customer-owned data, encryption, RBAC and field-level masking, versioned governance policies, and complete audit trails.
Business outcomes
What it changes for the business
Higher utilization
Put expensive GPUs to work instead of leaving them idle.
Cost recovery
Chargeback and showback that attribute spend to who uses it.
Lower MTTR
Catch failures early and reduce failed or restarted training runs.
Confident capacity planning
Buy or schedule based on real usage, not guesswork.
Audit-ready governance
Policies and trails for internal and regulatory needs.
Customization
Yours to shape, without a redeploy
Model-driven
Dashboards, metrics, cost rules, and policies are metadata — hot-deployed without redeploying.
Everything configurable
SLOs, alert rules, quotas, cost allocation, and thresholds are all yours to set.
Extensible
Add your own metrics, exporters, channels, and data sources.
Pricing
Priced by fleet size
Per-GPU or per-GPU-hour tiers
Pricing scales with the size of your fleet. Talk to us for a quote matched to your GPU count and utilization.
Enterprise support: Standard support included. Premium, 24×7 mission-critical, and dedicated engineering support available.
See your GPU infrastructure in one view
Book a walkthrough with our team, on-premise or in your private cloud, on your telemetry.
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