Gartner Expert

Chirag Dekate

VP Analyst

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.

Previous experience

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.

Professional background

DDN Storage

Sr. Manager, WW Commercial HPC Verticals


Research Manager, HPC and Big Data

Center for Computation and Technology, LSU

HPC Researcher

Areas of coverage

Data and Analytics Leaders

Infrastructure and Operations Leaders

Data Center Infrastructure

Analytics, BI and Data Science Solutions

Artificial Intelligence


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

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Top Issues That I Help Clients Address

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)

5Quantum computing