HPC DSATS Ankur Srivastava 2.2
mportance of High Performance Computing (HPC)
It is used for scientific discoveries, game-changing innovations, and to improve quality of life. It is a foundation for scientific & industrial advancements. HPC is used to solve complex modeling problems in a spectrum of disciplines. It includes AI, Nuclear Physics, Climate Modelling, etc. HPC is applied to business uses as well as data warehouses & transaction processing.
Need of High performance Computing (HPC)
It will complete a time-consuming operation in less time. It will complete an operation under a light deadline and perform a high numbers of operations per second. It is fast computing, we can compute in parallel over lot of computation elements CPU, GPU, etc. It set up very fast network to connect between elements. The convergence of HPC solutions and artificial intelligence (AI) is driving a major paradigm shift in classical computing.
Big Data Analytics: We focus on large-scale data analytics problems that arise in different application domains and disciplines.
HPC as a Service (HPCaaS): HPCaaS provides the resources required to process complex calculations, working with massive amounts of data through our existing.
MLOps: With MLOps, we provide an end-to-end machine learning development process to design, build and manage reproducible, test table.
Artificial Intelligent: The convergence of HPC solutions and artificial intelligence (AI) is driving a major paradigm shift in classical computing.
High Quality Storage: We have experience in parallel file systems, allowing us to obtain easily scalable solutions, both in space.
System Monitoring and Alerting: HPC infrastructure monitoring is critical to ensuring the performance and longevity of scientific tasks.
Research and application of HPC cloud.
Serving training (Research laboratory for graduate students and doctoral students.
Serving high-performance computing research in the field of computers.
