1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
Beyond Pre-Training: The Full Lifecycle of Foundation Models on HPC Systems
Dino Conciatore, Elia Oggian, Federico Da Forno +4
Large-scale pre-training of Foundational Models (FM) constitutes a computationally intensive first phase for enabling AI across diverse scientific and societal applications. This f…
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…
Interactive and Urgent HPC: Challenges and Opportunities
Albert Reuther, Nick Brown, William Arndt +7
As a broader set of applications from simulations to data analysis and machine learning require more parallel computational capability, the demand for interactive and urgent high p…