Private AI Appliance for Hotels
Hospitality runs on fast, multilingual communication around the clock. A small on-site appliance runs a private concierge and operations agent — handling guest messaging, bookings questions and front-desk tasks — without sending guest data to a third-party cloud.
On-site and always-on
A quiet 16GB box at the property runs a multilingual 7–14B assistant for guest comms and operations, working through connectivity hiccups and avoiding per-message API costs at peak season.
Multilingual by default
Models like Qwen2.5 handle many languages, so one small model covers the languages your guests speak.
Connected to your stack
The Hospitality pack wires the agent to channels and tools (messaging, bookings, payments) so it does real work, not just chat.
Featured chips
Recommended models
- 1Qwen2.5 72BQwen · ~72B · 128K ctx · Qwen License
A top-tier open model for coding and reasoning; a strong backbone for a private Business Command Center.
Minimum: Apple Mac mini (M4 Pro)Recommended: NVIDIA B200 (placeholder) - 2Llama 3.1 70BLlama · ~70B · 128K ctx · Llama Community License
The previous-generation flagship; still excellent. Prefer Llama 3.3 70B where available for similar footprint and better instruction following.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 3Llama 3.3 70BLlama · ~70B · 128K ctx · Llama Community License
A flagship open model with near-frontier quality for many business tasks. Full precision needs multi-GPU/datacenter; 4-bit opens it to high-end workstations.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 4DeepSeek-R1 Distill Llama 70BDeepSeek · ~70B · 128K ctx · MIT
The largest R1 distill, built on Llama 70B. The strongest locally-runnable reasoning option short of the full MoE; plan for high-end workstation or multi-GPU hardware.
Minimum: NVIDIA RTX A6000Recommended: NVIDIA B200 (placeholder) - 5Mixtral 8x7B (MoE)Mistral · ~47B · 32K ctx · Apache-2.0
Mixture-of-experts: total params are large but only a subset activate per token, so it serves quickly for its quality tier.
Recommended: NVIDIA B200 (placeholder)
Recommended hardware
- 66/100NVIDIA GeForce RTX 5090 (placeholder)NVIDIA · Consumer GPUs
- 66/100NVIDIA DGX Spark (GB10 class)NVIDIA · AI Appliances
- 66/100AMD Ryzen AI Max Mini PC (Strix Halo class)AMD · Mini PCs
- 56/100Law Firm Private AI Box (reference profile)Reference · AI Appliances
- 49/100Accounting / Odoo AI Box (reference profile)Reference · AI Appliances
- 48/100Small Business Mini PC (reference profile)Reference · Mini PCs
Frequently asked questions
What hardware does a hotel AI agent need?+
A small on-site box with a 16GB GPU (or Apple silicon) runs a multilingual 7–14B assistant comfortably for guest messaging and operations.
Does guest data stay private?+
Yes — running on-site keeps reservation and guest data on your hardware. Burst to the cloud only for heavy or occasional jobs.