
Powered by Nvidia H200

Nvidia H200 · 32 petaflops
Most institutions talk about AI. At KLS GIT, students, researchers, and founders actually build it on infrastructure that very few academic institutions in India can offer. The Centre of Excellence for AI & Machine Learning is powered by the Nvidia H200 GPU, delivering 32 petaflops of AI compute performance. This is not a cloud credit arrangement or a shared remote cluster. It is dedicated, in-house GPU infrastructure, available on campus, accessible to students from their first year, to research scholars running complex model training, and to startups within the GRID ecosystem who need serious compute to build serious technology.
The centre exists because AI at the frontier is a hardware problem as much as it is a software one. A student building a computer vision system, a researcher training a large language model, or a deep tech founder developing an AI-powered defence application, all of them need access to the kind of compute that the H200 provides. At GRID that access is not a privilege reserved for a few. It is available to anyone doing work that deserves it.
Key focus: AI model training, deep learning research, computer vision, NLP, AI-powered product development Infrastructure: Nvidia H200 GPU, 32 petaflops of AI performance Open to: Students, research scholars, faculty, GRID startups and founders