FNX AI
Infrastructure that scales with you
From hardware selection to production deployment — we build the AI stack so you can focus on your product.
Four disciplines. One owned stack.
AI Server Deployment
Get your infrastructure running from day one.
- GPU selection (NVIDIA 3090, A5000, H100)
- Local LLM deployment (Ollama, vLLM)
- Full AI toolchain — ComfyUI, Whisper, TTS, vector DBs
- Network optimisation and load balancing
Architecture & Design
Plan for scale, not just survival.
- System architecture and topology design
- Multi-GPU orchestration and resource management
- Storage, backup, and disaster recovery
- Security hardening and access control
Model Integration
From experiment to production, reliably.
- Model selection and fine-tuning guidance
- Local API endpoint setup — no external calls
- RAG pipelines and vector database integration
- Monitoring, logging, and performance tracking
Ongoing Optimisation
Infrastructure that stays sharp, not stale.
- Performance tuning and index optimisation
- Model updates and version management
- Capacity planning and scaling strategies
- Monitoring and incident response
How we work
Basic deployment in 1–2 weeks. Full infrastructure in 4–8 weeks.
Discover
Understand your goals, stack, and constraints.
Design
Architecture and hardware plan tailored to your needs.
Build
Deploy, configure, and validate.
Scale
Optimise, monitor, and iterate.
What our clients achieve
Lower Total Cost of Ownership
Replace unpredictable API spend with capital infrastructure. Plan your budget with confidence.
Full Data Sovereignty
Your data never leaves your network. Full compliance, zero external exposure.
Faster Time-to-Market
Ship AI features without vendor approval or rate limit constraints.
Operational Confidence
Observable, monitored, and supported. No fire-fighting at 2am.
Not sure where to start?
We'll assess your current setup and map out a clear path to ownership.