Local LLM & Agent Tower
A quiet tower that serves private models to a team or runs coding agents around the clock, with remote access and logging planned in.
Status: Concept: specification subject to validation
Form factor: Tower, office or lab, single to dual GPU
Price: On request
Reviewed 27 Oct 2026
Who it is for
Software teams and SMEs that want models on their own hardware.
- Local LLM
- AI agents
- Private RAG
In the advisor, this build serves the Local LLM or AI-agent tower category.
Configuration options
Ranges we choose from during validation. The final specification depends on your workload, software and environment.
| Part | Options |
|---|---|
| CPU | Workstation or server-class processor with ECC memory support |
| GPU | One or two GPUs; VRAM sized from model, context length and concurrent users |
| Memory | 128 to 512 GB ECC |
| Storage | Mirrored NVMe for OS and models; extra capacity for document stores |
Cooling, power and installation
Cooling
Active-cooled workstation GPUs, validated for continuous operation.
Power
Continuous operation is planned for: power draw, UPS and restart behaviour after outages.
Chassis
Tower with filtered intake for 24/7 office use.
Network
Wired LAN; remote access via VPN or your existing gateway, never an open port.
Software examples
Examples we can install and configure. Compatibility is confirmed for your exact versions during validation, not assumed.
- Ollama, vLLM or llama.cpp (chosen per model)
- Open WebUI or your own front end
- Agent frameworks of your choice
Limits, assumptions and open questions
Limitations
- Beyond roughly 20 concurrent users or very large models, a departmental or rack server is a better fit.
- Speed depends on model, quantization and runtime; we only quote figures we have measured.
Assumptions
- Up to about 20 simultaneous users
- Office or lab environment
- Inference, not large-scale training
What we will ask you
- Which models and context length?
- How many people or agents at once?
- Who administers it?
Start from the Local LLM & Agent Tower
Tell us your workload and we will adapt this configuration, check compatibility, and quote it. No obligation.