5 papers
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
Sarus Suite: Cloud-native Containers for HPC
Alberto Madonna, Matteo Chesi, Gwangmu Lee +3
High-performance computing (HPC) systems must support fast-moving software stacks, especially in AI/ML, while preserving scheduler control, scalable startup, and production perform…
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience
Jonathan Coles, Stefano Schuppli, Lukas Drescher +20
Large Language Models (LLMs) have surged as a transformative technology for science and society, prompting governments worldwide to pursue sovereign AI capabilities that ensure dat…
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
Project Apertus, Alejandro Hernández-Cano, Alexander Hägele +100
We present Apertus, a fully open suite of large language models (LLMs) designed to address two systemic shortcomings in today's open model ecosystem: data compliance and multilingu…
Evolving HPC services to enable ML workloads on HPE Cray EX
Stefano Schuppli, Fawzi Mohamed, Henrique Mendonça +10
The Alps Research Infrastructure leverages GH200 technology at scale, featuring 10,752 GPUs. Accessing Alps provides a significant computational advantage for researchers in Artifi…