GLM 5.2 orchestrates, DeepSeek V4 Flash executes
How to design multi-model systems where one open LLM plans, another executes, and the context they hand each other stays efficient.
AI
8 posts
GLM 5.2 is now available on Helmcode
GLM 5.2, the 744B MIT open model, now runs on Helmcode's European infrastructure with zero logs and a flat rate of 150 euros a month.
The AI Act explained: what actually applies in August
This week you will read a lot of headlines with 35 million euros in big type. It is real, it is the top penalty band of the AI Act, and it is also the worst possible way to understand what happens from 2 August.
Which GPU do you need to serve AI models
FP8, NVFP4, H200, B200: what each NVIDIA generation accelerates in hardware, how much VRAM your model needs, and which GPU to buy. With real production data.
NaN: the community's first month in numbers
117 billion tokens, 3.68 million requests, 21 countries, and 99.98% uptime. NaN is a community of builders with its own inference infrastructure and a private platform to deploy apps and agents.
How to set up an inference server to serve AI models
In this post I'll walk you through how the community's inference servers are set up: the hardware we use, the stack we run, and the models we serve.
Claude Code for DevOps
I've spent several hours over several days documenting and optimizing my entire local environment so I can "mechanize" the work I do every day managing infrastructure for multiple startups.
Clawd/Molbot/OpenClaw: Reflections and lessons learned
This post isn't meant to be a guide on how to use Clawd, but rather a look at how we're rolling it out at Helmcode to have an AI Agent that helps us with our day-to-day work managing the Cloud infrastructure of multiple startups.