CoreDigits observability

See the work.
Understand
the system.

One place to follow your GPU fleets, understand image and video generation, and inspect the evidence behind every run.

Company sign-in required · coredigits.com accounts only

From request to resultGeneration lifecycle
Queued→Generating→Uploaded→Committed
GPU utilization over timeMeasured, when available
GENERATION LATENCYp50 / p95
WORKER HEALTHReady / stale
THROUGHPUTJobs per minute
TRACE EVIDENCEEvery stage

Illustration · no live fleet data shown

Shared visibility across CoreDigitsImage generationVideo generationFleet healthAI evidence
A connected operational view

Follow the result. Find the friction.

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Generation performance

Separate queue time, generation, upload, and commit. Compare measured latency and throughput by model, with image and video views.

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Fleet health

See GPU utilization, VRAM, temperature, and power alongside agent freshness and worker signals. Spot silence as well as failure.

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Evidence that lasts

Inspect traces and recorded evaluations. Track collection gaps and verified archive receipts, even after an ephemeral fleet is gone.

Built around evidence

A clear view includes
what you don’t know.

Missing measurements stay missing. Coverage is visible. Iris keeps execution timing separate from generation timing, and spend stays unknown until billing is connected.

Your systems, in focus.

Sign in to inspect your fleet and the work moving through it.

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