PRIVATE AI HOSTING
Compliance-bound firms shouldn’t default to public cloud for AI.
Dedicated AI infrastructure in our Chicago colocation facility, operated by The Isidore Group through Isidore Cloud Hosting. Choose your models. Choose your tenancy boundary. Run inference and retrieval on infrastructure that’s yours by contract — not shared by tenant identifier. Built for firms in healthcare, legal, accounting, financial services, and defense-adjacent work where the answer to “where does our AI data live?” needs to be a specific room, not a SaaS dashboard.
No obligation. No sales script. No pre-work required.
In compliance-bound firms, the AI infrastructure decision is usually made by default. Someone provisions an OpenAI key. Someone else stands up Azure OpenAI in a tenant that already exists. The legal review is a forwarded link to the vendor’s compliance page.
Six months later the auditor asks where patient data, privileged matter notes, or client financial records are being processed — and the answer is a polite version of “in the cloud, somewhere.”
The cliché we keep hearing is:
“We’re using Microsoft, so it’s fine.”
Sometimes it is. Often it isn’t — at least not without controls and documentation that the firm hasn’t built yet. There’s a category of work where the right hosting decision isn’t public cloud at any tier. It’s dedicated infrastructure in a known location, under controlled access, with a documented chain of custody for every model that touches the data.
Data residency by contract, not tenant ID
In public-cloud AI, the boundary between your data and a hyperscaler’s training pipeline is a checkbox and an enterprise agreement. In private hosting, the boundary is a physical room, a documented vendor list, and an infrastructure topology you can show an auditor. Different conversation entirely.
Model choice without vendor lock-in
Open-weight models — Llama, Mistral, Qwen, DeepSeek, others — run on private infrastructure with no per-token cost and no vendor in the loop. Commercial models with on-prem licenses can run alongside them. You choose the model by capability, not by which hyperscaler’s marketplace it lives in.
Cloud-vs-on-prem decided by default
Public-cloud AI is brilliant for unpredictable, bursty inference. It is also brilliant at converting predictable, steady workloads into bills that grow faster than the workload does. Firms with consistent inference volume — call summarization, document analysis, RAG over a knowledge base — almost always end up cheaper on dedicated infrastructure within twelve months.
What’s in a Private AI Hosting engagement
Three deliverables, scoped to your workload:
1. Workload definition and tenancy design
The first conversation isn’t about hardware. It’s about which workloads belong in private hosting, which still belong in public cloud, and where the boundary between them lives. The deliverable is a documented use-case inventory with a clear residency decision on each one — not a recommendation to move everything inside.
2. Infrastructure provisioning in our Chicago colocation
Dedicated compute and GPU resources in The Isidore Group’s Chicago colocation facility through Isidore Cloud Hosting. Choose dedicated tenancy or shared-with-isolation depending on workload sensitivity. Network design includes private connectivity options — site-to-site VPN, Direct Connect, or dedicated cross-connects — so inference traffic never traverses the public internet unless you decide it should.
3. Operational management
Patching, monitoring, capacity reviews, and model lifecycle management as a recurring service. When a new model worth running becomes available — open-weight or licensed — we evaluate it against your workload and bring you a scoped change recommendation. You’re never running a model just because it was the right one a year ago.
Who this is for
Private AI Hosting is built for:
- Healthcare practices processing PHI through AI for transcription, summarization, or clinical documentation
- Law firms running AI against privileged matter, deposition transcripts, or contract review
- Accounting and financial services firms processing client records, tax workpapers, or financial analysis through generative AI
- Defense-adjacent and CMMC-relevant firms with data-handling restrictions that exclude public cloud at any tier
- Multi-vertical firms with a specific workload — internal investigations, executive communications, M&A — that should never share infrastructure with general-purpose tenancies
- Firms with predictable, sustained inference volume where dedicated-infrastructure economics start beating per-token cloud billing
If two or more of those describe your situation, the briefing is for you.
Who this isn’t for
In the interest of not wasting your time:
- Firms whose AI use case is bursty, unpredictable, and small — public cloud is the right answer and we’ll say so
- Firms that haven’t yet defined what AI workloads they actually want to run — start with the AI Strategy Conversation, not the hosting decision
- Firms looking primarily for cost arbitrage on general-purpose compute — this is dedicated infrastructure, not commodity hosting
- Firms that need inference inside their own physical walls — that’s On-Premise LLM Deployment, a different engagement
How the briefing actually runs
A focused 30-minute working session:
- 10 minutes — workload review: which AI use cases you’re running today or planning, with rough volume and sensitivity ranking
- 10 minutes — residency assessment: which workloads belong in private hosting, which belong in public cloud, where the boundary should live
- 10 minutes — infrastructure shape: what tenancy model, what models, what operational handoff would actually look like for your situation
Done by video, in your office, or on-site at our Chicago colocation if you want to see the facility. No deck. No pricing slides.
If you decide to move forward, we send a scoped proposal within five business days with the workload inventory, infrastructure design, and operational shape locked. If you decide the workload belongs in public cloud — or with another partner — we’ll say that directly.
Frequently Asked Questions
What is Private AI Hosting, specifically?
Private AI Hosting is dedicated AI infrastructure — compute, GPU, storage, network — operated by The Isidore Group through Isidore Cloud Hosting in our Chicago colocation facility. Clients run open-weight or commercially-licensed AI models on infrastructure they have by contract, not by tenant identifier. The deliverable is a documented residency boundary an auditor or insurer can verify, with model selection decoupled from any single vendor’s marketplace.
How is this different from Azure OpenAI or AWS Bedrock?
Azure OpenAI and Bedrock are public-cloud AI services with strong compliance posture and the usual hyperscaler tradeoffs — your data shares physical infrastructure with other tenants under a logical isolation guarantee, your model choices are gated by the vendor’s catalog, and your billing scales with usage. Private AI Hosting is dedicated infrastructure in a single named location with model choice independent of any vendor. Both are valid; the right answer depends on the workload.
What models can run on Private AI Hosting?
Open-weight models — Llama, Mistral, Qwen, DeepSeek, and others — run natively with no per-token cost. Commercially-licensed models with on-premise license terms can run alongside them where the vendor allows. Model selection happens during the workload definition phase, sized to your use case rather than picked from a marketplace.
Do we need to be an Isidore managed services client to use Private AI Hosting?
No. Private AI Hosting is contracted independently through Isidore Cloud Hosting. Firms with existing IT relationships often engage us specifically for the AI infrastructure work and keep their existing managed services provider for everything else. Co-managed arrangements are common.
Schedule a Private AI Hosting Briefing
One conversation. Concrete next steps. No follow-up pressure.
Available remotely or in-person at our Chicago colocation. Most briefings booked within five business days.
About The Isidore Group
The Isidore Group is a Chicago-based managed services and cybersecurity firm, founded in 2014. Private AI Hosting is delivered through Isidore Cloud Hosting, the sister company operating dedicated colocation, IaaS, and PaaS infrastructure in our Chicago facility.
We work with growth-stage firms across construction, manufacturing, legal, healthcare, finance, and accounting. Our positioning is not commodity IT support; it is operational maturity and executive advisory. Private AI Hosting briefings are conducted directly with leadership teams.