GTE Announces All New NVIDIA Powered CUDA Lab With an exciting offer : Buy 3 GTX Titan GPUs and get 1 GPU free

We GT Enterprises are the NVIDIA authorized Educational Partners in India

Computing is evolving from "Central processing" on the CPU to "Co-processing" on the CPU and GPU. To enable this new computing paradigm, NVIDIA invented the CUDA parallel computing architecture that enables dramatic increases in computing performance by harnessing the power of the GPU (graphics processing unit).

Today 750+ Universities and Academic Institutes around the globe are teaching Parallel Programming using CUDA to their students to address the need GPUs have created.

 

NVIDIA

  • Buy 3 GTX Titan GPUs + get 1 GPU free
  • 25 CUDA Passports*
  • Recommended Syllabus for Parallel Programming
  • CUDA Programming textbook
  • Accelerate 250+ applications in various domain
  • Joint lab branding & web assets with NVIDIA
  • * Optional/Customizable

Universities with CUDA Labs


    IIT Hyderabad, IIT Mumbai,
    Univ of Pune, IIT Delhi, VIIT Pune,
    VIT Pune, IISc Bangalore,
    Chitkara Univ. IIT Madras,
    MIT Pune,
    RVCE Bangalore,
    M.S. Ramaiah College and many more,.

 

CUDA Lab Objectives:

For developing a pool of skilled manpower with parallel programming skills , NVIDIA Powered CUDA Lab is a special NVIDIA-driven initiative for Technical Education quality improvement applicable for all Universities & Engineering Colleges in the country.

The main objectives of this offering are:

  • To inculcate parallel programming skills in students by teaching CUDA using GPUs and making them 'Industry-relevant'
  • To encourage Professor's & Researchers to carry out innovative R&D using GPUs and it's available Ecosystem.
 

GPU Card Specifications:

Features

GTX Titan
Type of GPU  Kepler GPU
GPU Computing Applications

 Seismic processing, CFD, CAE, Financial computing, Computational chemistry and  Physics, Data analytics, Satellite imaging, Weather modelling
Peak double precision floating point performance  1270 Gigaflops
Peak single precision floating point performance  4500 Gigaflops
Memory bandwidth (ECC off)  288 GB/sec
Memory size (GDDR5)  6 GB
CUDA cores  2688

Recommended departments:

The lab is useful (but not restricted to) Professors, Research Scholars and other students from various University departments & Engineering streams.
University Depts : Biotechnology , Mathematics, Physics, Botany , Chemistry , Microbiology , Statistics etc.
Engineering Streams : Computer Science, Electrical/Electronics, Mechanical, Metallurgy , Aeronautical/Aerospace etc.

For all your Product/Training/Services,
Please Contact :  hpc@gte-india.com / training@gte-india.com