FuZeLLM FuZeLLM · Your AI. Your Perimeter.

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MetaFuze FuZeLLM Whitepaper

A practical blueprint for deploying persona-based AI behind your perimeter: TrulyPrivate tenancy, backend routing, and benchmark-driven cost controls.

Last updated: Jan 02, 2026

FuZeCORE

Right-sized private LLM hosting, priced for outcomes

If a team just wants a strong hosted model behind their own perimeter, FuZeCORE is the baseline offering. The differentiation is that customers don't have to guess which model, runtime, or GPU stack they actually need.

  • Avoid overpaying: pick the smallest model that clears the use case, then scale only when needed
  • Measured selection: we benchmark runtime stacks (Ollama, llama.cpp, vLLM, Triton, etc.) on the target hardware class
  • FuZe optimizations: run benchmarks with and without system/CUDA tuning so you're buying the best-performing configuration
  • Future-proof: swap models later as requirements change, without re-buying the platform

FuZeADMIN

Customer-visible control plane, no model or vendor lock-in

Customers get access to the FuZeADMIN control plane so they can see nodes, models, benchmarks, and deployments in their own trust boundary. Swap models from the curated registry, run your own approved models, or upgrade to FuZeLLM to run multiple specialized models at once.

FuZeADMIN Node Benchmarks screenshot

Sample: one node benchmarked across baseline vs FuZe-optimized runtime. The platform selects the best winning combination for the customer's hardware and workload suite.

FuZeLLM gives your teams a production-grade AI perimeter: run a TrulyPrivate tenancy in FuZeCLOUD or drop in a FuZeBOX appliance on-prem. Models, personas, telemetry, and audit trails stay inside your trust boundary—no shared control plane, no lock-in.

FuZeLLM Playground

Test-drive FuZeLLM’s unified persona stack exactly the way customers deploy it: production personas, live context stitching, and unified orchestration that mirrors node-to-node operations in our control plane.

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