Show HN: Virtual Private LLM, fixed fee with no usage or token limits

Solheim AI launched Virtual Private LLM (VPL), a flat-fee service providing private, EU-hosted LLM instances with no token or usage limits, starting at €15.00 per month for one instance with a 64k context window. The service runs open-weight models like Qwen3.6-35B-A3B and DeepSeek V4 Flash on EU-owned infrastructure, with an OpenAI-compatible API for integration with tools like Cline and VS Code.

Issue 01 — a VPS for language models · sign-up open Rent the machine. Not the tokens. A private LLM instance on EU hardware, for a flat monthly fee. Nothing counts down and nothing resets — the only limits are how many requests you run at the same moment and how much context each one gets, and you set both yourself. No token meter. No rolling usage window. No request cut off halfway through your task. No surprise bills — your instance at one fixed monthly cost. EU hardware, EU jurisdiction. 01 / The idea If you've bought a server, you know this product. One project gets one VPL: one endpoint, one key, two numbers to size it. A slider sets how many instances the project runs, and an instance is one request in flight. Three instances means three things at once: your agent, your editor, your test loop. A second dial sets the context window each of those requests gets. The API is OpenAI-compatible, so Cline, ZooCode, VS Code BYOK and your own backend all talk to it unmodified. - 01 On a VPS — vCPU + RAM Instance count One slider, one dial. Inside that size, run as much as you like, all day. - 02 On a VPS — no request quota No usage window Nothing counts down and nothing resets. You are never locked out mid-task. - 03 On a VPS — flat monthly invoice Flat monthly invoice No surprise bills: a busy sprint costs exactly what a quiet one costs. Tokens are counted for you and never billed to you. - 04 On a VPS — OS image Open-weight model Pick and pin the model. Swap it by changing one string, no migration. - 05 On a VPS — one server, one host One project, one VPL Keys, usage and limits stay per project — nothing is shared by accident. - 06 On a VPS — datacenter region EU-only region Nothing leaves EU jurisdiction — GDPR and AI Act posture by construction. 02 / Migration Two minutes, two fields. Nothing to install, nothing to rewrite. - 01 Create a project A project is one VPL: its own endpoint, its own key, its own usage. Name it after the thing it serves. - 02 Set the instance count One slider decides how many requests run at once. Move it up for a week of parallel agents, back down after. That is the whole capacity model. - 03 Point your tool at it Base URL and key into Cline, ZooCode, VS Code BYOK, or any OpenAI SDK. Nothing else in your setup changes. export OPENAI BASE URL=https://api.solheim.ai/v1 export OPENAI API KEY=slh live 9f3c… beyond your instance count, calls queue. they do not 429 and they do not cost extra. 03 / Sovereignty EU-hosted, all the way down. Sovereignty is an architecture, not a checkbox. - 01 Infrastructure GPUs at EU-owned providers in EU datacenters. No US hyperscaler in the serving path, so no CLOUD Act exposure to write into your DPA. - 02 Models Open weights under permissive licenses, pinned per instance and run by us. Your prompts are not training data — not ours, not anyone's. - 03 Routing Requests never leave the region, and this page loads nothing from a third-party origin — no US CDN, no analytics, no fonts phoning home. The library - 01 Qwen3.6-35B-A3B qwen3.6-35b-a3b The default for day-to-day work: diffs, tests, refactors and tool-calling agents. A mixture-of-experts model: 35B parameters in total, three billion of them active per token, price-value like nothing else. - 02 DeepSeek V4 Flash deepseek-v4-flash-0731 For more demanding work: near frontier open-weight performance on your own reserved compute - + Request a model open weights · permissive licence 04 / Pricing Two dials: how many, how much context. Instances × context window × a flat monthly rate. Still no tokens, no tiers and no overage — there is nothing on this invoice that can surprise you. - Your window - 64k - Model - one per project - Beyond your count - queues, never 429 - Overage - there isn't any €15.00 /month · 1 × 64k × €15.00 Excludes VAT, which is added at checkout based on where you are. Start at this size get-started Beyond ten, or beyond 128k Dedicated & enterprise A dedicated GPU or a MIG slice of one — no shared neighbours, no contention with anyone else's agents. A 256k window lives here too: it is four times the cache of the largest shared size, so it gets its own card rather than a queue. Private networking, a signed DPA and invoicing rather than a card. Priced against the hardware you need, not per request. Let's talk Contact us mailto:hello@solheim.ai?subject=Dedicated%20capacity 05 / Readership Who it's for. Same product, same dials, same arithmetic. - 01 Developers running coding agents You live in Cline, ZooCode or VS Code and you hit the window most weeks. Three instances is an agent, an editor and a test loop running at once — for as long as the day lasts. - 02 Founders who need an inference backend Your product needs a private LLM behind it, with a bill that doesn't move when traffic does. Point your backend at the same endpoint and size it the same way. It is one product, not two. What changes between these is what you point at the endpoint — not the pricing, not the API, not the machine. 06 / From the blog Notes All notes /blog The Break-Even Point Between Metered Tokens and Your Own LLM Per-token pricing is the right way to buy inference until a certain volume. This is the arithmetic for finding that volume, and what to do on either side of it. Read /blog/breakeven-metered-tokens-vs-private-llm How to Replace Claude Code With Your Own Private LLM Swap the closed-source agent for an open harness and a model endpoint you control. Same workflow, no usage windows, no data leaving your control. Read /blog/replace-claude-code-self-hosted-llm