
© 2025 Artificial Beingz
Dedicated compute in the jurisdiction you choose, for AI workloads that can't leave the country, or the building.

01
Data Residency
We allocate capacity in-country, so your data, your models and their outputs stay subject to local law.
Built for:
- Healthcare and financial services
- Public sector
- Any contract that restricts where data is processed
02
Dedicated, Not Shared
Your workloads run on hardware that no other customer uses.
Isolation:
- Single-tenant hardware
- Isolated networking
- Encryption with keys you control
- Access through your own identity provider
03
Ready-to-Use Stack
Capacity arrives running the Private LLM Deployment stack, so you're working with models from day one instead of racking servers.
Included:
- Open-weight models served through an OpenAI-compatible API
- Private RAG with a local vector store
- Monitoring and logging that stay inside the environment
04
On-Premises Option
When the data can't leave the building, we install the infrastructure inside it.
We handle:
- Hardware specification sized to your models and traffic
- Installation and configuration
- Ongoing operation and upgrades
Related
Related capabilities
Private LLM Deployment
Open-weight models running inside your network, air-gapped if needed.
Learn more →Distributed Data Centers
GPU capacity allocated from a network of data centers, sized to your workload.
Learn more →AI Inference
Serving models fast and cheaply: batching, quantization, routing and caching.
Learn more →