As part of the Sustainable Computing course, a series of guest lectures will highlight industry perspectives on energy-efficient computing and large-scale AI.
Overview
- Date:Starts 15 December 2025, 10:00Ends 15 December 2025, 11:45
- Location:
- Language:English
10:00-10:45
Title: Sustainable Computing with ZeroPoint Technology
Speaker: Alexandra Angerd, System Architect, ZeroPoint Technologies
Abstract: The performance of computer systems is limited by the memory hierarchy. There is a need for new and disruptive technologies in the memory subsystem to keep up with the compute power. ZeroPoint Technologies is tackling this challenge by introducing hardware-accelerated compression in the memory hierarchy. This talk gives an overview of the ZeroPoint Technology and how memory compression can increase the performance per watt by doing more computing in less time with less energy.
Bio: Dr. Alexandra Angerd is a system architect at ZeroPoint Technologies. She received her PhD degree in Computer Engineering from Chalmers in 2021. She also has both her master's degree and bachelor's degree from Chalmers.
11:00-11:45
Title: Sustainable AI at Scale: AWS's Approach to Energy-Efficient Cloud Computing and Hardware Acceleration
Speaker: Ganesh Shenoy, Solutions Architect – AWS Sweden, Amazon Web Services
Abstract: As AI workloads reshape computing demands, sustainability becomes critical. This lecture explores AWS's end-to-end approach to energy efficiency—from custom silicon (Graviton, Trainium, Inferentia) to data center innovation and renewable energy commitments. We'll examine how purpose-built hardware accelerators and architectural patterns enable sustainable AI at scale, with real-world examples showing how cloud infrastructure reduces environmental impact while delivering breakthrough performance.
Bio: Ganesh Shenoy is a Solutions Architect with over 12 years of IT expertise, currently working at Amazon Web Services (AWS) in Stockholm, Sweden. He supports Independent Software Vendors (ISVs) in their cloud transformation journey, specializing in data analytics and Generative AI solutions. His expertise lies in designing cloud solutions that enable data-driven decision-making, with a particular focus on sustainable cloud practices and energy-efficient computing architectures. He is passionate about championing how cloud infrastructure can reduce environmental impact while delivering high-performance AI and data workloads.
- Full Professor, Computer and Network Systems, Computer Science and Engineering