Democratizing the use of AI: FUJITSU - MONAKA
Artificial intelligence (AI) is rapidly evolving, but accessibility remains a challenge. Our mission is to democratize AI, fostering open collaboration with the global community to develop human-centered, sustainable digital transformation.
Japan’s NEDO has launched an initiative to achieve 40% energy savings in domestic data centers by 2030. Fujitsu’s MONAKA, a 2 nm Arm CPU arriving in 2027, focuses on energy efficiency to support carbon-neutral green data center super-computing.
Fujitsu’s unique microarchitecture is pivotal for CPU performance and power efficiency. Fugaku, the world’s most efficient supercomputer, is a testament to our technology. MONAKA is poised to drive the next-gen AI application ecosystem with energy-efficient computing.
Our R&D efforts concentrate on enhancing Intel oneAPI for ARM SVE, optimizing ARM SVE platforms for ML workloads, and speeding up deep learning processes with optimized oneDNN.
Join us for a tech talk on Fujitsu’s innovative AI technologies, and discover how we bridge the gap between AI experts and enthusiasts, making AI accessible to all.
Speaker(s)
Priyanka Sharma - Fujitsu Research of India Pvt Limited (FRIPL)/Director - Software Engineering
Dr. Priyanka Sharma specializes in AI-enabled system design, development, and deployment. She currently serves as Director – Software Engineering at Fujitsu Research of India (FRIPL), heading the MONAKA R&D Unit (HPC-AI Lab). Dr. Sharma also holds the position of Vice Chairman (Technical) in several IEEE societies.
Before joining FRIPL, she was Vice President Projects – AI at Samyak and AI Advisor to startups in the domains of AI, Deep Learning, and Drug Discovery. Dr. Sharma also served as an AI Advisor at a National Defense University in India and was a NVIDIA Deep Learning Ambassador. With over 50 research papers published, she has mentored Solution Architects and AI startup communities, guiding them in strategic planning and branding.
Dr. Sharma has a passion for travel and has collaborated globally in the field of R&D. She is an avid reader and enjoys writing about life lessons through machine learning.
