Most of the attention in AI-assisted software development has gone to tools that write code faster. Lovable is making a different case: the thing people want at the end of the process is not code, but a working product.
The latest figures suggest that case is finding buyers. Speaking at the HumanX summit in Amsterdam on Thursday, co-founder Fabian Hedin said the vibe-coding platform has crossed $600 million in annual run-rate revenue. In June, the company had put the same figure at around $500 million. That means roughly $100 million was added in the space of a few months.
Running a 35-billion-parameter model on a single consumer graphics card usually means compromises. A new open source project called FastLocalAI tries to keep those compromises small. It's a tuned setup for running Alibaba's Qwen3.6-35B-A3B on an NVIDIA GPU with just 16 GB of VRAM, paired with the OpenCode coding agent.
The project is available on GitHub at https://github.com/24high/FastLocalAI. It uses llama.cpp's llama-server and moves part of the model into regular system memory so the rest fits on the card.
Why the model doesn't fit and how it works anyway
Qwen3.6-35B-A3B is a Mixture-of-Experts model. The quantized Q4_K_M version from Unsloth, which the project uses by default, is about 22 GB. That is too large for a 16 GB card.
CyrioX is financed by advertising. You can choose how you want to use this website:
With advertising: we load an advertising script from a third-party ad network. The ad network may set cookies, use your IP address and device information, and may process data outside the EU.
Ad-free for €0.99 per month: no advertising and no advertising tracking. Cancel at any time.
You can change your decision at any time via "Cookie Settings" at the bottom of every page.
