keshav memorial institute of technology

An Autonomous Institution - Accredited by NAAC with 'A' Grade
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** B.TECH  II YR II SEM  & III YR II SEM SPECIAL SUPPLY EXAMINATIONS IN MAY-2022 FOR 2011 ADMITTED STUDENTS. You can view the NOTIFICATION here **KMIT is pleased to announce that it was classified as Promising by Atal Ranking of Institutions on Innovation Achievement (ARIIA). You can view the certificate here ** NBA has accredited CSE UG Program for 3 academic years 2021-22 to 2023-24. **B.Tech I year II Sem Sept/Oct 2021 Regular exam results are released. To check results Click Here  **KMIT  is proud to announce it's third college Keshav Memorial Engineering college @NGIT campus Uppal, CSE - 180, CSE AIML - 120 (EAMCET code KMEC) **Four project proposals by our students Nischal Singhi, Srinivas Yadav, Akash Konda, and P Sai Varshith were accepted by GSoC. Congratulations and best wishes to them. To know more

  **One Week Online Workshop on "Privacy and Cyber Security" from 31-01-2022 to 5-02-2022, in association with CSI. To know more click here  **KMIT  is proud to announce it's third college Keshav Memorial Engineering college @NGIT campus Uppal, CSE - 180, CSE AIML - 120 (EAMCET code KMEC) **Four project proposals by our students Nischal Singhi, Srinivas Yadav, Akash Konda, and P Sai Varshith were accepted by GSoC. Congratulations and best wishes to them. To know more

NVidia

About:

NVidia’s AI CoE (Center of Excellence) was instituted for Deep Learning, Machine Learning, Data Science and Analytics Lab with NVIDIA GPUs. We signed up with NVidia to setup their AI-GPU CoE in the campus to train and provide NVidia Certificates on AI, DL, ML, Data Science and Analytics, Core GPU C++ Programming. NVidia AI Center of Excellence (CoE), the first in Hyderabad, offers hands-on core CUDA-GPU programming training on Dept. of Biotechnology funded Live-Projects in Biomedical Imaging, Clinical Diagnostic workflow system development, Computational Fluid Dynamics system Development and AI driven real-time research products development. Equipped with NVidia DGX Station, The Fastest Personal Supercomputer with 480 TFlops (GPU FP16) and built on 4 Tesla V100’s, with 64 GB GPU RAM and 256 GB Physical RAM. A data storage server with 154 TB (11 * 14 TB) connected with this NVidia DGX station for data storage.