EuroMesh

TL;DR

A distributed training framework trying to stitch together fragmented European GPU clusters to build a sovereign LLM without begging for US cloud credits.

Who is this actually for?

EU-based AI researchers and government-funded labs tired of the NVIDIA H100 tax and US data center dominance.

The Good

• Offers a path to AI sovereignty for those worried about data privacy and dependency.
• Taps into existing, underutilized compute resources spread across the continent.

The Catch (Potential Downsides)

Network latency is the killer of distributed training. Trying to sync gradients across geographically distant nodes is usually a performance nightmare compared to a single localized cluster.