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tech 26 May 2026

Norway Enhances Language Model Training with 2 Petabytes of Huawei Flash Storage

Norway employs 2 petabytes of Huawei flash storage to train a national language model, ensuring the preservation of its culture and language.

Article inspired by the original source
Norway's 2 petabytes of Huawei flash storage and LLM training ↗ www.blocksandfiles.com

Introduction

In a world where English dominates language model development, Norway is taking a bold step to preserve and promote its own language and culture. By employing 2 petabytes of Huawei flash storage, Norway's National Library is training a language model dedicated to Norwegian. This initiative ensures that AI models understand the cultural and historical nuances of the country.

The Context

Tasked by the Ministry of Culture, the National Library of Norway is spearheading this ambitious project. With the largest digital collection of Norwegian books, newspapers, and web pages, it stands as the bastion of Norwegian culture. This initiative addresses a pressing need: no commercial provider is currently developing a language model focused on Norwegian.

Technical Infrastructure

To achieve this, the library leverages a robust infrastructure. At the heart of this system is Huawei's OceanStor Dorado flash storage, offering 2 petabytes of capacity. This low-latency storage is critical for the data pipelines necessary for model training.

The infrastructure also includes an Nvidia DGX H200 system, a 384-core CPU cluster, and multiple flash storage arrays. This combination enables efficient processing of the vast amount of data required for training.

Challenges and Solutions

One of the primary challenges of this project is data quality. Marius Husnes, Head of the IT Platform, and his team work on data ingestion, cleaning, deduplication, and normalization. The library has already digitized 20 petabytes of unique data since 2005, totaling 60 petabytes when considering backup copies.

Strategic Importance

Developing a sovereign language model is crucial for countries wishing to preserve their cultural and linguistic heritage in the digital age. A model specifically trained for Norwegian can understand and process local information more accurately than a generalist model.

Conclusion

Norway sets an example by investing in technologies that support its language and culture. This could inspire other nations to follow suit to ensure their stories and identities remain vibrant in the digital era.

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