keshav memorial institute of technology

An Autonomous Institution - Accredited by NAAC with 'A' Grade
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** Orientation Program 2022 is scheduled to take place on 31 October 2022. The Induction Program, for the newly admitted First Year Students, will begin from 1 Nov 2022. **II B.TECH II SEMESTER REGULAR EXAMINATION (KR20) TIMETABLE is out, You can view Time-Table here ** 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)

 **KMIT is proud to announce that Ms SreeLaya, an IT student of 2023 batch, bagged an international offer with Amazon, Dublin, for a pay package of 154,300 euros ( 1.2 cr rupees pa). We wish her all the best for her future **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’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.