Nvidia woos wary Europeans with more open weights models

Nvidia hopes to capitalize on European sovereign AI demand by unloading a slew of new open weights models spanning chatbots, healthcare, and robotics.

The major model devs have the resources to build highly capable models from scratch. But most enterprises don't, and have instead been forced to fine tune open weights models from the likes of Mistral or H Company using their own datasets.

At GTC Berlin, Nvidia unveiled its latest additions to its open weights model library with refreshed Nemotron Retriever embedding and Alpamayo autonomous vehicle models.

While by no means the sexiest subclass of models out there, embedding models are some of the more useful ones for enterprise apps. Retrieval augmented generation (RAG), a technology we've explored extensively in the past, relies heavily on the embeddings generated by these models for applications like AI-augmented search.

At a high level, RAG works by cutting up documentation in chunks, then converting those into vectors called embeddings. …