The article itself comes from AI ? It says twice why they switched from Native to React Native in two distinct paragraphs at the beginning. The rest sounds also AI slop jargon.

Exactly, you could do this also with the Microsoft Cryptographic Provider long time ago, which is the basic Provider called by the go-tpm library, when running under Windows

So creativity is going to skyrocket!

They do also split up to 2GB archives. So they are very manageable

You can change the split size. But yes.

Are you using the right configuration for your own CPU?

On a Laptop with 32 GB RAM and Iris Xe integrated graphic card, I get between 11-18 Tokens/Second with Qwen 3.8 27B and llama.cpp with sysl Intel optimisations. Same results with the vulkan back end, although sometimes it ends in weird segmentation faults due to the memory consumption.

Interesting, what's your Context Window?

The above tests were done with 24k context window. Testing was mostly driven by ChatGPT analyzing oMLX server logs and suggesting changes.

Finally, I settled on Qwen3.6-35B-A3B-4bit with 32,768 context window and 16,384 max tokens.

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Additional results from Qwen3.6-35B-A3B-4bit (Can't edit previous comment)

Qwen3.6-35B-A3B-4bit, 329.7 PP, 41.3 TG

If you are using the OtelCollector, you can export logs to Grafana Loki, to have them visualised

see: https://grafana.com/docs/loki/latest/send-data/otel/

good article points, but what's a good alternative Docker Image with a small footprint and a package manager to Alpine Linux, if you need to install something on it and powered by glibc?

So the money goes to families with children? Or is it going to fund other harming activities?

A Macbook Neo with an M6 and 16 GB RAM at $699/€699 would be a killer feat