As our society makes a digital shift, demand for energy and sustainable solutions raises growing energy demands from the ever-increasing needs of data centres. Japan’s New Energy and Industrial Technology Development Organization (NEDO) has launched an ambitious initiative that aims to achieve energy savings of 40% or more in datacentres domestically by 2030. Fujitsu’s MONAKA is a 2 nm Arm CPU slated to be launched in 2027 and will focus majorly on energy efficient solution to meet the carbon neutrality goals for a green data centre super-computing facility.
Fujitsu designs its own microarchitecture which is a key factor for CPU performance and power efficiency. This technology made it possible for the supercomputer Fugaku to achieve the world’s highest levels of performance and energy efficiency. Fujitsu’s MONAKA is aligned to enable next gen AI application development ecosystem through high end energy efficient compute.
REFERENCE:
With a work experience of around 24 years that spans Industry, Academia and Research, Dr Priyanka Sharma, specializes in leading AI enabled system design, development and deployment using core technologies involving high performance computing, machine learning and deep learning.
Dr Priyanka is currently Director – Software Engineering at Fujitsu Research of India (FRIPL) and heading MONAKA R&D Unit (HPC-AI Lab). She is also the Vice Chairman (Technical) of IEEE Industrial Electronics, IEEE Industry Applications, and IEEE Power Electronics Society – Gujarat Section. She is an active member of various National Level Subject Expert committee (for Engineering and AI Projects) of some of the premier R&D project funding schemes of Department of Science and Technology under Ministry of Science and Technology.
Prior to joining Fujitsu Research of India (FRIPL), Priyanka was Vice President Projects – AI with Samyak and AI Advisor to UK and India based startups in the domain of AI, Deep Learning and Drug Discovery. She was also AI Advisor at CoE on AI, IT and Cyber Security at a National Defence University in India. She was NVIDIA Deep Learning Ambassador for around 5 years. Her academic affiliation includes Full Professorship with Computer Science and Engineering Department, Nirma University for over 7 years. She has published over 50 research papers in SCI and Scopus indexed International Journal, Books and Conferences. Priyanka is a passionate traveller and loves writing on life lessons through machine learning.
In this talk I am going to share the use cases for high performance computing for the many clients of Infosys in the domains of Logistics, Finance, Pharma, Manufacturing and the like.
What are some of the problems of exponential size that we have encountered? And what are the technology solutions that Infosys has adopted to address these use cases?
What is the role of Quantum Computing for example in this space? What is the potential of this technology for solving large problems of exponential scale in optimization, simulation, drug discovery, Cyber security and ML?
These are some of the questions we will get to explore in this talk.
What worked for us, and what did not? May be your research and ideas can address some of the gaps we are facing. Come join this talk to explore opportunities on how best we can collaborate.
Vittal Setty, works as a Product Line Manager at Infosys. As part of Infosys Center for Emerging Technologies (iCETS) he has created multiple solutions using AI/ML, Gen AI to bring efficiencies in the software devlopment and testing life cycle. Currently he works on Quantum Computing and its application for solving problems of exponential size. With 20+ years of experience in the IT industry, he has executed large transformation programs for technology clients in the US.