One day in the life of a CLLM cluster
Not a marketing pitch. An operational log. What actually happens across 24 hours of production traffic on AlifZetta.
The 24-hour receipts
| Metric | Value |
|---|---|
| Total queries served | ~62,000 |
| Median latency (warm) | 2 ms |
| P95 latency (warm) | 4 ms |
| Cache hit rate | 92.7% |
| Bilingual queries (EN / NE) | 68% / 32% |
| NEXUS substrate size | 94,927 entries |
| NEXUS entries added today | +35 (daily-pulse cron) |
| External LLM API calls | 0 |
| Vector-DB calls | 0 |
| Hallucination incidents | 0 |
| Auditor complaints | 0 |
| Electricity cost (estimated) | ~$0.47 |
What the top query categories look like
Citizen services queries (43%). Medical triage lookups (22%). Currency and weather lookups (12%). Language translation (8%). Long-tail everything else (15%). Every one answered with a citation to a NEXUS entity, in the citizen's language of choice.
Why boring is the marketing pitch
The frontier-lab stack is exciting: emergent capabilities, benchmark leaps, product demos. It is also unreliable in production, expensive to run, and legally suspect. Our stack is boring: same query returns same answer, cited, fast, cheap. Boring is what enterprise buys. Boring is what regulators approve. Boring is what runs a country.
Try the boring thing
Load demo.axz.si. Ask 20 questions. Watch the latencies. Read the citations. Boring is a feature.
Try the demo →