Ganesh Venkatesh
About Ganesh Venkatesh
Ganesh Venkatesh is the Head of Applied Machine Learning at Cerebras Systems, where he focuses on developing advanced AI models. He has a strong background in computer science, holding a Bachelor of Technology from IIT Madras and a Ph.D. from UC San Diego, along with extensive experience at leading tech companies including Facebook, Intel, and NVIDIA.
Work at Cerebras Systems
Ganesh Venkatesh serves as the Head of Applied Machine Learning at Cerebras Systems, a position he has held since 2023. In this role, he focuses on advancing state-of-the-art large language models (LLMs) and multimodal models. His work aims to push the boundaries of artificial intelligence capabilities, contributing to the company's mission of developing innovative AI solutions. Cerebras Systems is known for its specialized hardware designed to accelerate AI workloads.
Education and Expertise
Ganesh Venkatesh obtained a Bachelor of Technology in Computer Science from the Indian Institute of Technology, Madras, where he studied from 2000 to 2004. He further pursued his education at UC San Diego, earning a Ph.D. in Computer Science from 2004 to 2010. His academic background provides a strong foundation in computer science principles, which he applies in his professional work in machine learning and artificial intelligence.
Background
Ganesh Venkatesh has a diverse professional background in technology and research. He began his career as a Summer Intern at Hewlett-Packard Labs in 2006. He then worked at Intel Labs as a Research Scientist from 2011 to 2016, followed by a role as a Senior Deep Learning Architect at NVIDIA from 2016 to 2019. He transitioned to Facebook, where he served as Technical Lead Manager from 2019 to 2021 and later as Senior Tech Lead Manager until 2023. His experience spans various aspects of AI and deep learning.
Achievements
During his tenure at Facebook, Ganesh Venkatesh contributed to the development of 3D holograms, showcasing his expertise in advanced AI technologies. He also played a significant role in the open-source release of PyTorchVideo mobile, enhancing the accessibility of video processing tools. At NVIDIA, he led the development of Sparse Tensor support in the Nvidia Ampere GPU and INT4 support in the Nvidia Turing architecture, marking significant advancements in deep learning hardware.
Initiatives and Contributions
Ganesh Venkatesh initiated and organized the On-device Intelligence Workshop at MLSys, focusing on the discussion and dissemination of advancements in on-device AI. His efforts in this area demonstrate his commitment to fostering collaboration and innovation within the AI community, particularly in the context of on-device intelligence.