Europe's AI strategy has been backwards. Governments announced €200 billion in funding — mostly repackaged existing budgets. Meanwhile, Mistral's own CEO warns Europe has two years before becoming America's "AI vassal state." The US controls 80% of the world's AI compute. Europe has 5%. The smarter play was always simpler: take the best open-weight models, run them on our own GPUs in Finland and Germany, guarantee zero data retention, and charge a flat monthly fee. So I built it.
I'm Emir. Bosnian, living in the Netherlands for the past seven years. I used to run production Kubernetes at Booking.com. I built AffordableAI alone, bootstrapped, because someone in Europe should. No investors, no hype, just good infrastructure.
All measurements on our hardware, SGLang 0.5.13, `sglang.bench_serving`. ISL=8192, OSL=1024. Source: SGLang DeepSeek-V4 Cookbook.
| Metric | Official B300×4 (TP=4) | Our B300×1 (TP=1) | Advantage |
|---|---|---|---|
| Output tok/s @ 1 concurrent | 264 | 198 | 3.0× per GPU |
| Output tok/s @ 64 concurrent | 1,608 | 1,803 | 4.5× per GPU |
| TTFT @ 64 concurrent | 2,363ms | 355ms | 6.7× faster |
| Ceiling throughput | — | 12,325 tok/s @ 256 concurrent | 100% SM utilization |
EAGLE speculative decoding + flashinfer_mxfp4 MoE runner + fp4-indexer + HiCache L2. Identical model, identical weights. The combination of techniques in a single config dramatically outperforms the official single-strategy cells.
Full config and raw data available on request. DeepSeek V4 Flash · NVIDIA B300 · Finland + Germany · MIT license · Open weights.
Same endpoints your tools already speak. Works with OpenAI SDKs, Cursor, Claude Code, Continue, aider. Change the base URL and keep coding.
Twenty euros. Unlimited use within fair-use. No counters ticking while you think. No surprise invoice at the end of the month. No manager asking why the AI bill doubled.
Entire codebases, full conversation histories, and long documents in a single session. Hybrid attention makes this practical at scale — without per-token costs punishing long contexts.
Measured ceiling at 256 concurrent users. One B300 delivers more throughput than the official 4×B300 config at 64 concurrent — with 6.7× lower TTFT.
Prompts and completions exist only in GPU memory. Nothing touches a disk. Nothing is logged. Your code and conversations stay yours.
Tokens arrive as they're generated. Server-sent events. No polling for completions, no waiting for batches to finish.
The US controls 80% of the world's AI compute. Europe has 5%. The largest US AI supercomputer runs at 1,250 MW — Europe's largest at 83 MW. OpenAI raised $122 billion in a single round; the entire EU AI investment plan repackaged €200 billion mostly from existing budgets. As Mistral's CEO told the French parliament: Europe has two years before becoming America's "AI vassal state." Training foundation models from scratch is a game Europe already lost. The smart play is competing on deployment — take the best open-weight models, run them on European GPUs, and win on operations, pricing, and trust.
Per-token pricing turns a developer tool into a budget line item that gets scrutinised, capped, and cut. Companies are restricting AI tool access after blowing through budgets in months. Engineers are rationing prompts. Startups are building products just to track and reduce token costs. AI inference should be a utility, not a metered luxury.
On June 13, 2026, the US issued its first-ever export control on LLMs — banning foreign access to frontier models with zero notice. Over 80% of Europe's digital infrastructure already depends on non-EU providers. Every application running on US-hosted AI is one directive away from going dark. If your inference runs outside the EU, you don't control it.
Everything included. No surprises.
Volume pricing for engineering teams.
One email when we launch. That's it.
hi@affordableai.eu