An Ollama Server Tuned for Your Business
Ollama makes running open models simple; making it a dependable business tool is the part we handle. We deploy Ollama on a server your whole team shares, lock it to your network, connect it to the apps your staff already use, and tune the models for real work — not a developer's laptop demo. The result is a private AI assistant your business owns, sitting quietly on your own hardware.
A laptop experiment isn't a business tool
Plenty of people try Ollama on a laptop, love it, then realize it can't serve the whole office, isn't secured, and forgets everything when the machine sleeps.
Turning Ollama into something a team relies on — always on, shared, secured, and connected to your real software — is exactly the gap between a demo and a deployment.
Shared across the team
One Ollama server answers for everyone, not just whoever installed it, with the models always loaded and ready.
Tuned, not default
We select and configure models for your tasks and keep them warm, so responses are fast instead of laggy cold starts.
Secured to your network
Access controlled, traffic kept on your LAN, optional air-gap — a business asset, not an open port.
Wired into your tools
Connected to chat front-ends, document search, and the apps your team already uses, through Ollama's local API.
Laptop Ollama vs. a TIS Ollama business server
| Ollama on a laptop | TIS Ollama business server | |
|---|---|---|
| Who can use it | One person | Whole team, shared |
| Uptime | Sleeps with the laptop | Always on |
| Models | Whatever fits, cold starts | Tuned, kept warm |
| Security | None by default | Locked to your network |
| Support | You, alone | A Texas builder you can call |
Build tools on top of it with AI development services, compare with a single-user local LLM server, or start from a custom build.
When to move from Ollama to vLLM
Ollama is the right tool for most small teams — it is simple, dependable, and handles low-to-moderate concurrency well. We reach for it first, and for a lot of offices it is the whole answer.
The honest line is that heavy concurrent use is where vLLM's continuous batching pays off. When many people hit the server at the same moment, vLLM packs their requests together for much higher throughput than Ollama can manage at that load. You do not have to predict that day in advance — we migrate you to vLLM when you genuinely outgrow Ollama, and you keep the same private server. See the full Ollama vs vLLM comparison.
Connecting your apps (OpenAI-compatible API)
Ollama exposes an OpenAI-compatible API — a standard interface your existing apps already know how to talk to. In practice that means tools built to call a cloud AI service can point at your own server instead, usually by changing little more than the address they connect to.
We wire it into chat front-ends, document-search tools, and internal apps so staff use a familiar interface while the engine behind it is your own hardware. If you want to build custom workflows on top of that API, our AI development services team picks up there.
Private Ollama deployments across the Houston metro
We deploy and secure Ollama business servers on-site in Missouri City, Rosenberg and across the Houston metro, then stay on call. Keep it locked down with secure local AI, or see our Texas service areas.
Ollama server questions
Why pay TIS to set up Ollama when it's free to download?+
Ollama the tool is free; a secured, always-on server your whole team can rely on is the work. We handle the hardware sizing, model tuning, network security, and integrations so it is a business tool, not a side project.
Can the whole team use one Ollama server at the same time?+
Yes. We size the server so multiple people query it at once with the models kept loaded, so nobody waits on a cold start. One box serves the office.
Which models run best on an Ollama business server?+
It depends on your work — we commonly deploy general chat, document-search, and coding models, picked to fit your GPU memory and tuned for speed. We set them up so staff just pick the right one.
Does an Ollama server connect to the apps we already use?+
Yes. Ollama exposes a local API, so we connect it to chat front-ends, document tools, and internal apps. Your team uses a familiar interface; the engine behind it is your own server.
Is an Ollama server private?+
Completely, when set up right — which is how we set it up. Models run locally, queries stay on your network, and you can air-gap it entirely. Nothing your team types goes to a third party.
How many people can hit one Ollama server at once?+
A well-sized server handles a typical small team comfortably with the models kept loaded. The real driver is concurrency — how many people query it at the same moment — not your headcount. Our concurrency guide breaks down how many users one server serves.
Will Ollama keep models loaded so there's no cold start?+
Yes. We tune it to keep the models you use warm in memory, so staff get a fast answer instead of waiting for a model to load on the first request. That keeping-it-warm tuning is part of turning Ollama into a dependable business tool.
Back to AI Servers · read about custom AI servers on the main site.
Let's turn Ollama into a tool your team trusts
Tell us how your staff would use it and we'll deploy, tune, and secure an Ollama server your business owns outright.