Picture this: You’re at a law firm, or maybe you run IT at a growing business. Someone just dropped a €35,000 invoice on your desk for a “private legal AI” that was supposed to save time, not cause headaches. Suddenly, you’re in the weeds shopping for rare GPUs, sweating over security, and wondering if you need to hire a DevOps wizard just to keep things running. This is the reality for too many teams who try to do it all themselves.
It doesn’t have to be.
Most firms care about getting answers and keeping client data safe. They don’t care about wrangling YAML files, picking cloud regions, or keeping GPUs warm at 3 AM. Still, traditional DIY setups force you into that world. You end up juggling expensive, scarce hardware. You’re on the hook for compliance. Every little piece of the stack (vector databases, endpoints, patch cycles) becomes your responsibility. And the meter’s running, even when nobody’s using the thing.
That’s where Compute with Hivenet comes in.
Instead of building and babysitting a complex stack, you get a service that does the heavy lifting. Spin up powerful GPU clusters (actual dedicated hardware, not smoke and mirrors) in just a few clicks. Your data stays where you want it, in the EU or UAE, never crossing borders without your say‑so. Pricing is clear, honest, and billed by the second, not padded with hidden fees or idle charges. Currently, you’ll pay as little as €0.60 an hour, which is less than half the price of CoreWeave’s A100s (and, to be honest, 4090s are probably better in most use cases). And when you’re done, just hit pause. You pay nothing while your instance is idle.
You don’t have to settle for the old “DIY pain for enterprise gain” bargain.
Let’s get practical. Say you want your own secure, private chatbot. With Compute, you launch your instance, pull your Llama 3 model, set up your vector database, and upload your documents, all inside your own dedicated environment. No need to wire up a dozen services or chase down missing dependencies. Need to expose a secure endpoint for your chatbot? It’s one toggle away. You can read more about HTTPS services on Compute. All this, without spinning up a new team or burning weeks in trial‑and‑error.
What does that mean for your bottom line? Here’s the honest snapshot:
You only pay for what you use. No more invoices for machines running while you’re off the clock.
Security and compliance aren’t afterthoughts here. Our security model with Hive‑Certified nodes ensures audited, dedicated hardware in controlled facilities, with end-to-end data residency.
Don’t just take our word for it. Not long ago, a mid-sized law firm ingested over half a million documents and had a custom chatbot up and running in just two days. Their total bill for the first month was about €9,200, a small fraction of what others spend on DIY setups.
There’s one more angle: efficiency. Compute with Hivenet’s distributed cloud model not only saves money but also shrinks your carbon footprint. There are no giant data centers running day and night.
So here’s the bottom line: Why burn weeks and a small fortune trying to reinvent the wheel? You can have a secure, private LLM up and running before your next lunch break. No YAML, no late‑night patching, no surprise bills.
Skip the €35,000 build-out and run the same Llama 70B chatbot on Hivenet’s distributed GPU cloud for the price of a dinner, paid by the second, and paused when you’re done.
Ready to make the switch? Start using Compute instances today and see how easy private AI can be.
Start in seconds with the fastest, most affordable cloud servers.
Launch an instance in under a minute. Enjoy flexible pricing, powerful hardware, and 24/7 support. Scale as you grow—no long-term commitment needed.
