BYOD Lab

Lab Dimesion : 151.34 sq.m


The AI&DS BYOD lab is available for students, faculty and PhD research scholars to carry out academic and research-oriented project work. The lab is equipped with edge computing devices such as the NVIDIA Jetson Orin Nano Development Board, Arduino Uno R3 Development Board, Raspberry Pi and sensor kit to support embedded systems, IoT, robotics and hardware-based projects. These equipments were procured in R2025 specifically to support practical implementation for the Foundations of Robotics and Disruptive Technology course.  The laboratory operates on a Bring Your Own Device model where students bring their own laptops and personal devices. A log register is maintained to record student entry, exit and activities carried out during each session ensuring accountability and proper utilization of resources. Valuable and Consumable stock registers are maintained for laboratory equipments. Power sockets and extension boards are periodically inspected to ensure safe and reliable power supply throughout the laboratory. AC units undergo regular servicing to ensure consistent and optimal cooling performance within the laboratory.


GPU Server

Experience Cutting-Edge AI Research with NVIDIA L40s GPU Cards
We are proud to announce the addition of two state-of-the-art NVIDIA L40s GPU cards, valued at ₹44.98 lakhs, to our department's computing infrastructure. These GPUs are accessible over the intranet, empowering students, researchers, and faculty to accelerate their AI and data science projects with unparalleled computational power.
Features 
·         Unmatched Performance: Harness the power of the Ada Lovelace architecture, optimized for AI training, inference, and high-performance computing.
·         Large Memory: 48GB GDDR6 ECC memory per card to handle massive datasets and large-scale AI models.
·         Advanced AI Precision: Supports FP8, FP16, and other precision formats for accelerated model performance.
·         Energy Efficient: Designed for optimal performance with minimal power consumption.


Laboratory Equipment Details

S.No

Description of the Equipment

Quantity

  1.  

NVIDIA Jetson Orin Nano Development Board

5

  1.  

Arduino Uno R3 Development Board

1

  1.  

Raspberry Pi Model B (8GB RAM)

1

  1.  

Sensor Kit 37 in 1

1

shape