For Neo Clouds
Hit your SLAs without doubling the SRE team.
Factryze runs agents across your full fleet, monitoring every tenant's GPUs independently and executing remediation runbooks before customers open tickets. Deploys alongside your existing observability stack; telemetry stays in your network.
See the GPU GlossaryWhere neo clouds use Factryze
SLA you can stand behind
Knowing about failures before customers do. The agent detects degradation in seconds, recommends the migration, executes once approved.
Customer-facing transparency
White-label health pages and incident summaries. You have the answer before customers finish typing the support ticket.
Fleet-wide health, tenant-isolated
Thousands of GPUs across hundreds of tenants. Each tenant view scoped to their own infrastructure; the platform team sees the full fleet.
Capabilities built for fleet operators
Per-tenant scope, platform-team correlation
Each tenant's GPU events flow into their own pane only. The platform team gets cross-tenant correlation in a separate view.
Tenant-isolated diagnostics
Each tenant's GPU events, logs, and health flow into their scope only.
Fleet runbooks
Drain-and-replace, fabric link reseat, thermal hot-spot rebalancing. Run on one node or one thousand.
SLA-aware alerting
Alerts ranked by SLA exposure, not raw event volume. Page on the failure that risks customer credits.
Why not just an existing tool?
Per-tenant scope isolation out of the box
SLA-exposure-ranked alerting
Cross-tenant correlation for platform team
Drain-and-replace runbooks at fleet scale
Per-tenant incident attribution and billing data
Not ready for a call?
Designed alongside neo-cloud platform engineers · per-GPU pricing · self-hostable
Ready to hit the SLAs you've already promised?
30 minutes with the founders. We'll discuss your fleet, your tenants, and what's costing you SLA credits today. No pitch until we've earned it.