Chirag Dekate is a VP, Analyst at Gartner, where his research focus is on providing strategic advice to CIOs and IT leaders on infrastructure agility and emerging trends, with an emphasis on AI (machine learning and deep learning) infrastructures, high-performance computing, and emerging compute architectures (quantum computing).
Dr. Dekate's coverage areas include emerging technologies impacting server architectures, including processor architectures, memory technologies and interconnect architectures. Dr. Dekate has in-depth expertise in high-performance computing, technical computing simulations, computing and extreme scale graph processing. He has rich experience in strategy development and execution from vendor ecosystems, having led multiple successful campaigns and product launches.
Before joining Gartner, Dr. Dekate led strategy development and execution for WW commercial HPC vertical markets including financial services, oil and gas, manufacturing, earth sciences and more. Prior to that, Dr. Dekate was a Research Manager at IDC, covering HPC, big data and cloud computing, where he managed HPC quarterly tracking and strategic consulting engagements with vendors, end users and governments.
Sr. Manager, WW Commercial HPC Verticals
Research Manager, HPC and Big Data
Center for Computation and Technology, LSU
Data and Analytics Leaders
Infrastructure and Operations Leaders
Data Center Infrastructure
Analytics, BI and Data Science Solutions
Doctor of Philosophy, Computer Science (HPC, Exascale Computing, Execution Models, Extreme Scale Graph Processing), Louisiana State University
Master of Science, System Science (Grid and Cloud Computing), Louisiana State University
Bachelor of Science, Computer Science, Louisiana State University
1High-performance computing applications, infrastructure and operations (HPC), supercomputing, HPC clouds
2Machine learning, deep learning, artificial intelligence infrastructures and best practices
3MLOps, AI pilots to production
4Emerging server architectures (processors, interconnects, machine learning technologies and memory technologies)