Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI

Ishneet Kaur Dua is an experienced solutions architect specializing in generative artificial intelligence, machine learning, environmental sustainability, and cloud computing. With years of hands-on experience, she excels in designing resource efficient, cost-effective, resilient systems on leading cloud platforms such as AWS, GCP, and Azure. Ishneet started her career at CDK Global where she worked as a DevOps engineer and focused on building highly available Kubernetes environments on AWS cloud and on-prem. Passionate about leveraging AI and ML for innovation, Ishneet has expertise in diverse areas, including low code no code ML, computer vision, NLP, recommendation engines, and predictive analytics. She advocates for ethical AI practices, ensuring fairness and transparency in AI systems while making them accessible through open-source initiatives. As a thought leader, Ishneet shares her insights at global tech conferences, focusing on AI/ML, cloud architecture, and sustainability. She actively mentors women in tech, aiming to inspire and empower the next generation of STEM professionals. Driven by a vision of harnessing technology for positive change, Ishneet is dedicated to building a future where AI creates opportunities for all and addresses complex real-world challenges. Parth Girish Patel is a seasoned architect with a wealth of experience spanning over 17 years, encompassing management consulting and cloud computing. Currently, at Amazon Web Services (AWS), he specializes in artificial intelligence/machine learning, generative AI, sustainability, application modernization, and cloud-native patterns to deliver resilient, high-performance solutions optimized for cost and operational efficiency. Starting his career as a software engineer, Parth transitioned into consulting at Deloitte, where he provided strategic guidance to Fortune companies on their cloud implementation and led intricate enterprise transformations. This diverse background equipped him with a unique blend of business acumen and technical expertise, enabling him to navigate complex digital transformations effectively. As an AWS solutions architect, Parth plays a pivotal role in guiding customers through their cloud journey and AI adoption, offering insights into scalable architectures and implementing end-to-end machine learning solutions. With specialization across leading cloud providers like AWS, Azure, and GCP, as well as proficiency in Machine Learning skills like Natural Language Processing, Computer Vision, and predictive analytics, Parth is well-equipped to tackle diverse technical challenges. Passionate about sustainable AI, Parth advocates for the responsible and ethical use of AI, emphasizing transparency and environmental consciousness. He leverages his leadership skills to mentor teams and individuals, fostering a collaborative and innovative environment aimed at driving a positive impact across organizations and society as a whole.