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On this page

  • Computational Resources
    • Servers
    • Workstations
    • Relative Performances
  • Server Policy

Lab Resources

Computational Resources

IIT Gandhinagar has a number of computational resources available for research and teaching purposes. Aside from it, the department also has a number of workstations available for students and faculty members.

The following is the list of computational resources in our lab apart from the institute and departmental resources.

Servers

Our servers are named after great mathematicians/scientists:

  • Ramanujan (रामानुजन): Srinivasa Ramanujan made groundbreaking contributions to number theory.
  • Bhaskar (भास्कर): Bhaskar (aka Bhaskar II) is known for his work Siddhānta Shiromani (सिद्धांत शिरोमणि) which includes advances in algebra, calculus, and astronomy.
  • Aryabhata (आर्यभट): Aryabhata is well-known for inventing the concept of zero (शून्य) and the place value system. He is also said to be one of the faculty members of the famous Nalanda University (नालंदा विद्यालय).
Ramanujan Bhaskar Sustain
RAM 512 GB (16 x 32GB) 256 GB (4 x 64GB) 192 GB (6 x 32GB)
CPU AMD EPYC 7452 32-Core Processor @ 2.30 GHz Intel Gold ICX 6326 @ 2.90 GHz Intel(R) Xeon(R) Silver 4208 CPU @ 2.10GHz
Storag 8 TB 5 TB 2 TB
Number of CPUs 64 32 16
GPU 4 x NVIDIA A100-SXM4 (80GB) 2 x NVIDIA RTX A5000 (24GB) 2 x NVIDIA RTX A4000 (16GB)
Total VRAM 320 GB 48 GB 32 GB


Workstations

Aryabhata Vikram
RAM 32 GB 64 GB
CPU Intel Core i9-13900 Intel Core i9-14700
Storage 2 TB 4 TB
Number of CPUs 24 32
GPU 1 x NVIDIA RTX Titan XP (12 GB) 1 x NVIDIA RTX A2000 (12 GB)
Total VRAM 12 GB 12 GB


Relative Performances

Server Policy

How to get access: Send an email to Mr. Raviraj Sukhadiya, keeping Prof. Nipun Batra in cc. Mention the following details in your request: i) server name; ii) purpose for access.

Don’ts:

  • Do not use the server for personal use or anything not related to the project. This includes any classwork or homework.
  • Do not share your server credentials with anyone else.

Fair usage:

  • Sometimes we have multiple projects running on the same server. Please be considerate of other projects and do not use up all the resources.
  • Sometimes we may allocate specific cores or GPUs to specific projects. Please do not use cores or GPUs that are not allocated to your project.