The department has state-of-the art computer laboratories for its students to carry out laboratory practicals and assignments. We also a have specialized AI lab in partnership with NVIDIA Lab. This lab is an advanced research facility dedicated to the advancement of artificial intelligence (AI) and the acceleration of AI technology development. It serves as a leading hub for innovative research, collaboration, and experimentation in the AI field. Equipped with state-of-the-art infrastructure and staffed by a team of talented researchers and engineers, NVIDIA Lab conducts ground-breaking research, explores new AI applications, and develops cutting-edge AI algorithms and frameworks. The lab actively engages in partnerships with academic institutions, industry leaders, and startups to foster AI innovation and expand the possibilities of AI-driven solutions in various domains such as healthcare, autonomous vehicles, robotics, and more. Through its dedicated research and development efforts, NVIDIA Lab is at the forefront of shaping the future of AI and driving global adoption of AI technologies.

GPUs 8x NVIDIA A100 Tensor Core GPUs
GPU Memory 320 GB total
Performance 5 petaFLOPS AI 10petaOPS INT8
NVIDIA NVSwitches 6
System Power Usage 6.5kW max

Dual AMD Rome 7742, 128 cores total, 2.25 GHz(base), 3.4 GHz (max boost)

System Memory 1TB

8x Single-Port Mellanox
ConnectX-6 VPI
200Gb/s HDR InfiniBand
1x Dual-Port Mellanox
ConnectX-6 VPI


OS: 2x 1.92TB M.2 NVME drives
Internal Storage: 15TB
(4x 3.84TB) U.2 NVME drives

Software Ubuntu Linux OS
System Weight 271 lbs (123 kgs)
Packaged System Weight 315 lbs (143kgs)
System Dimensions

Height: 10.4 in (264.0 mm)
Width: 19.0 in (482.3 mm) MAX
Length: 35.3 in (897.1 mm) MAX

Temperature Range

5°C to 30°C (41°F to 86°F)

AI & ML Supported Infrastructure Facilities - NVIDIA DGX A100

The Department has an established NVIDIA AI Learning and Research Centre in collaboration with NVIDIA. The AI Research Centre comprises of High-End Computing facility with NVIDIA DGX A100 server, which is a High-End AI Supercomputer. The DGX A100 is world's first 5 petaflops AI system build on NVIDIA A100 Tensor Core GPU's, Integrating 8 A100 GPUs with 320GB GPU memory. The establishment of research centre has led researchers to pursue AI and Machine Learning based Research work and projects, important for upcoming society needs.

The Degree program is spread over four years with two semesters in each year. Students study five theory courses and work on assignments in two or three laboratory courses in each semester. The first year of engineering is common to all disciplines. The students learn basic courses in Computer Science and Engineering, such as Discrete Structures, Data Structures, Operating Systems, Digital Electronics, Theory of Computation and Microprocessors in second year of engineering. The courses such as Artificial Intelligence, Machine Learning Techniques, Analysis of Algorithms, Databases, Software Engineering, Computer Networks etc. are offered in third year engineering. Students present seminar on topic as per their interest and also carry out a mini project in a group of three/four students during their second and third year of engineering. In the final year engineering students not only study core courses such as Distributed systems, Object Oriented Modelling, Advanced Computer Architecture but also choose elective courses as per their interest. Students’ also carryout project work geared to the needs of the industry.

Career Options:

• Machine Learning Engineer
• Research Scientist
• Software analysts and developers
• Data Engineer



Plot No.2 , APJ Abdul Kalam Road, Knowledge Park 3, Greater Noida, Uttar Pradesh, India, 201306

Helpline No. 8010-000-234