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[ For Neo Clouds ]

Hit your SLAswithout doubling the SRE team.

Every tenant's GPUs watched on their own, with runbooks that run before customers open tickets. Telemetry stays in your network.

Audit your clusterBook a scoping call

[ Where neo clouds use Factryze ]

SLAs you canstand behind.

Fleet outcomesPer tenant, fleet-wide

  • 01 · SLA protection

    Degradation caught before customers notice.

  • 02 · Customer transparency

    Incident summaries ready before the ticket is filed.

  • 03 · Tenant-isolated health

    Each tenant sees their scope. You see the fleet.

[ Cluster readiness ]

Proven under loadbefore it carries revenue.

We build and run every cluster against the published criteria GPU clouds are rated on, including SemiAnalysis's ClusterMAX.

Three test phasesFactryze runs 02 and 03

  • 01 · Audit~15 min

    Config checks. Free with the open-source CLI.

  • 02 · PerformanceHours

    Benchmarked at acceptance, against the design.

  • 03 · ReliabilityDays

    Burn-in and failure injection before go-live.

  • Reliability in production

    Bad nodes drained before the next job lands.

  • Security

    Read-only, outbound-only, scoped per tenant.

Audit your clusterRead the published criteria (opens in new tab)

ClusterMAX is a trademark of SemiAnalysis. Factryze is not affiliated with or endorsed by SemiAnalysis, and a Factryze audit is not a ClusterMAX rating. What our audit covers.

[ Built for fleet operators ]

Run it on one nodeor ten thousand.

Per-tenant scope, platform-team correlationFleet status
fleet · 4 tenants · 544 gpusexample · 2026-04-12
acme-research✓ 100%
128 gpussla 99.97%
42h ago
neura-labs⚠ 98.4%
64 gpussla 99.81%
3m ago · FZ-412
robotics-x✓ 100%
256 gpussla 99.99%
18h ago
argon-ml✓ 100%
96 gpussla 99.94%
6h ago
platform→1 tenant degraded · 0 SLA breach · 0 customer tickets

  • 01 · Tenant-isolated diagnostics

    Each tenant's events stay in their own scope.

  • 02 · Fleet runbooks

    Drain, reseat, and rebalance at fleet scale.

  • 03 · SLA-aware alerting

    Alerts ranked by SLA exposure, not volume.

[ Compared ]

Why not justan existing tool?

Capability comparisonFactryze vs. the usual stack

  • Per-tenant scope isolation out of the box

    Custom k8s / Slurm scriptspartial
    Datadog Multi-tenantpartial
    NVIDIA Base Commandno
    factryzeyes

  • SLA-exposure-ranked alerting

    Custom k8s / Slurm scriptsno
    Datadog Multi-tenantno
    NVIDIA Base Commandno
    factryzeyes

  • Cross-tenant correlation for platform team

    Custom k8s / Slurm scriptspartial
    Datadog Multi-tenantyes
    NVIDIA Base Commandno
    factryzeyes

  • Drain-and-replace runbooks at fleet scale

    Custom k8s / Slurm scriptspartial
    Datadog Multi-tenantno
    NVIDIA Base Commandpartial
    factryzeyes

  • Per-tenant incident attribution and billing data

    Custom k8s / Slurm scriptsno
    Datadog Multi-tenantpartial
    NVIDIA Base Commandno
    factryzeyes
yeshandles nativelypartialrequires assemblynonot supported

[ Next step ]

Hit the SLAsyou've already promised.

30 minutes on your fleet, your tenants, and what's costing you SLA credits.

Book a scoping callAudit your clusterJoin the design partner program

Designed alongside neo-cloud platform engineers · per-GPU pricing · self-hostable