Deployment Options for Private AI in Regulated Industries
Deploy Zylon inside your infrastructure, in a cloud VPC, managed on-prem, or fully in-house (air-gapped). Without external cloud dependencies.
Which deployment model fits your security and compliance requirements?
If you operate in financial services, government, healthcare, defense, or manufacturing, deployment is not an implementation detail—it defines your risk posture, data boundaries, and time-to-production.
DEPLOYMENT OPTIONS
Cloud VPC Deployment
Deploy Zylon into a logically isolated network you control in your cloud account. This gives regulated teams a “private cloud” footprint while keeping governance, networking, and access policies under your control
How it works:
Zylon runs in your private network segment
You connect it to your enterprise identity and internal data sources
You can keep endpoints private, depending on your architecture
Best for:
Ideal for private AI programs that need cloud elasticity but still require data residency, network isolation, and strong governance.
Cloud VPC Partners:
AWS
AWS VPC is designed to let you provision a logically isolated network and launch cloud resources inside it.
We focus our cloud partnership and reference architectures around AWS for enterprises that want private AI inside a VPC with mature networking controls, security tooling, and enterprise procurement.
Also supported
Google Cloud (VPC): global VPC networks and subnet-based isolation models.
Microsoft Azure (VNet): private networking foundation for Azure resources.
Leaseweb (private cloud / hosting): provider with ISO-certified data centers and infrastructure offerings that can fit sovereignty and hosting requirements.
DEPLOYMENT OPTIONS
Managed On-prem Deployment
Zylon is deployed on-premise, but a certified partner can provide the infrastructure, host it in their data centers, and/or operate it for you.
How it works :
Partner scopes requirements (users, workloads, latency, data classification)
Partner provisions compliant infrastructure (including GPU where needed)
Zylon is installed, validated, monitored, and updated under agreed controls
Your data stays within the managed on-prem boundary
This is the fastest path to on-prem AI, common in AI for regulated industries, including finance, government, healthcare, defense, and critical infrastructure, without building a full internal MLOps/infra team.
Managed On-Prem Partners:
NeuralRack (US)
Bare-metal GPU infrastructure for enterprise AI, with fast provisioning and hands-on operations support.
Best for: high-performance private AI in the US
Panchaea (UK)
Turnkey AI/HPC delivery: hardware sourcing, hosting options, and deployment support.
Best for: UK-led deployments with end-to-end infrastructure delivery.
Occentus (Spain)
Managed infrastructure and secure colocation in Spain (Valencia Class 4 data center, UNE-EN 50600).
Best for: EU data residency and regulated workloads in Iberia.
DEPLOYMENT OPTIONS
Deploy fully in-house: your infrastructure, your operations
Your team deploys and operates Zylon entirely inside your own data center, including environments that must run offline / air-gapped.
How it works (high level):
Install Zylon on your servers (online, semi-airgap, or full-airgap patterns depending on constraints)
Configure hardware/AI presets and operational settings
Integrate with internal identity, logging, and data systems
Operate with your own patching, monitoring, and change controls
Why it’s chosen (SEO language included):
Best for the strictest security postures: air-gapped AI, sovereign AI, and deployments in defense, government, healthcare, and high-security financial sector environments where external dependencies are unacceptable
ARCHITECTURE
Controls and governance across every deployment model
Designed around compliance-oriented controls
FAQ
Questions We Hear Often
Common questions about private AI deployments
What’s the difference between cloud AI and private AI in a VPC?
Can Zylon run air-gapped (fully offline)?
Is Zylon suitable for banks and regulated financial institutions?
Can we deploy on Azure/GCP as well as AWS?
Do we need internet access to install?