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BUSINESS:
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Whatsapp Number: +6531385500
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Lenovo Pro Business Store
Lenovo Education
Sales:
BUSINESS:
{{SmallBusinessNumber}} option #1
(Servers & Storage included)
Whatsapp Number: +6531385500
Order Support:
Lenovo Pro Business Store
Lenovo Education
Sales:
BUSINESS:
{{SmallBusinessNumber}} option #1
(Servers & Storage included)
Whatsapp Number: +6531385500
Order Support:
Lenovo Pro Business Store
Lenovo Education
Sales:
BUSINESS:
{{SmallBusinessNumber}} option #1
(Servers & Storage included)
Whatsapp Number: +6531385500
Order Support:
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Shiv Nadar University
Empowering researchers to crunch data faster and more accurately with a new HPC cluster based on Lenovo ThinkSystem technology and NVIDIA® A100 Tensor Core GPUs.
“We are delighted to offer our faculty and students access to the new HPC cluster. With this advanced system, our researchers can perform complex simulations, more easily analyze large data sets, and enhance their research. The facility represents a significant investment in research at our institution. We hope that our research will continue to impact the world in meaningful way.”
Dr. Ananya Mukherjee
Vice Chancellor, Shiv Nadar University
Shiv Nadar University (SNU) is a comprehensive, multidisciplinary, research-focused, and student-centric institution based in Greater Noida, Uttar Pradesh. It is bringing a paradigm shift in higher education in India through its innovative curriculum and interdisciplinary focus.
SNU offers a full range of academic programs at the undergraduate, postgraduate, and doctoral level to a community of more than 8,000 students. Committed to excellence in teaching and research, SNU aims to serve the higher education needs of India and the world beyond.
SNU’s goal is to become internationally recognized for its research and creative endeavors in improving quality of life, generating new insights, and expanding the boundaries of human knowledge.
High-performance computing (HPC) is the cornerstone of data-intensive scientific and engineering research, as Deepak Agrawal, Head IT Infrastructure at SNU, explains: “To simulate physical phenomena, analyze and process large datasets, and develop new algorithms and software, you need powerful computing resources.”
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