
George Song

Gaurav Shah

Paul Piezzo

Naveh Grofi

Tina Bou-Saba

Richard Henry

Sam Pritzker
In the new era of AI infrastructure, CMOS scaling remains the workhorse for heavy computational workloads. But the need for an energy-efficient solution imposes a paradigm shift at the interconnect level, requiring an intimate 3D co-integration of advanced ASICs and optical connectivity.
As the architectural complexity of new products increases, relying on state-of-the-art platforms, with a short path to manufacturing. In this workshop, we will highlight how you can access following technologies for your future products:
- Advanced-node ASIC down to TSMC N2
- Imec’s integrated photonics platforms from 200G up to co-packaged optics
- Imec’s advanced 3D packaging technique from interposer to hybrid bonding
Location: Room 207
Duration: 1 hour

Philippe Soussan
Philippe Soussan is Technology Portfolio Director at imec. For 20 years, he has held different positions in R&D management at imec in the field of sensors, photonics, and 3D packaging. Addressing these technologies from R&D up to manufacturing levels.
His expertise lies in wafer-scale technologies, and he has authored over 100 publications and holds more than 20 patents in these fields.
Since 2024, Philippe has been in charge of strategy definition within the “IC-link by imec” sector. This imec business line provides access to design and manufacturing services in the most advanced ASIC and specialty technologies.
IMEC
Website: https://www.imec-int.com/en
Imec is a world-leading research and innovation center in nanoelectronics and digital technologies. Imec leverages its state-of-the-art R&D infrastructure and team of more than 5,500 employees and top researchers for R&D in advanced semiconductor and system scaling, silicon photonics, artificial intelligence, beyond 5G communications, and sensing technologies.
As imec’s application-specific IC (ASIC) division, imec.IC-link serves start-ups, SMEs, OEMs, and universities by supporting the full ASIC development process from design and IP services to production, packaging, and testing. It realizes over 600 yearly tape-outs in CMOS, Gan-on-SOI, and silicon photonics technologies.
In this session, we will explore the end-to-end workflow of managing foundation model (FM) development on Amazon SageMaker HyperPod. Our discussion will cover both distributed model training and inference using frameworks like PyTorch and KubeRay. Additionally, we will dive into operational aspects, including system observability and resiliency features for scale and cost-performance using Amazon EKS on SageMaker HyperPod. By the end of this hands-on session, you will gain a robust understanding of training and deploying FMs efficiently on AWS. You will learn to leverage cutting-edge techniques and tools to ensure high performance, reliable, and scalable FM development.
Location: Room 206
Duration: 1 hour

Mark Vinciguerra

Aravind Neelakantan

Aman Shanbhag
Aman Shanbhag is a Specialist Solutions Architect on the ML Frameworks team at Amazon Web Services (AWS), where he helps customers and partners with deploying ML training and inference solutions at scale. Before joining AWS, Aman graduated from Rice University with degrees in computer science, mathematics, and entrepreneurship.
AWS
Website: https://aws.amazon.com/
Since 2006, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 114 Availability Zones within 36 geographic regions, with announced plans for 12 more Availability Zones and four more AWS Regions in New Zealand, the Kingdom of Saudi Arabia, Taiwan, and the AWS European Sovereign Cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.