Reviewable by design
Benchmarks and readiness
Benchmarks, readiness gates, and architecture you can review.
This page is a quick tour of what exists today: benchmark harnesses, readiness gates, and the perimeter-first control model. No hand-wavy numbers, just concrete capabilities you can inspect.
Benchmarks and performance discipline
- • Storage and data-path benchmarking to validate throughput under realistic conditions.
- • Inference harnesses for latency and throughput regression detection under load.
- • Tuning workflow to identify bottlenecks and validate improvements with repeatable runs.
Examples from FuZeCP are shown below.
Production readiness
- • Readiness checks before services report ready, CUDA availability, tokenizer sanity, configuration loading, and tensor loader probes.
- • Cache-awareness and correctness testing plans to prevent silent degradation.
- • Guardrails, observability hooks, and incident learning loops for diagnosable behavior.
Designed to keep production behavior predictable and diagnosable.
Perimeter-first control model
Tenancy
Single-tenant FuZeCLOUD or on-prem FuZeBOX. No shared control plane.
Adaptive routing
RRLM routing optimizes quality, latency, and cost, with an optional Q-learning policy loop.
RBAC context
Context assembly ties into RBAC so retrieval and memory are policy-correct per user and role.
Audit
Telemetry and audit trails stay inside the customer boundary by default.
