Indigenous Technology-Driven PARAM Shavak HPC & AI Labs Set up Initiative for AICTE Institutes

1. Interested institutions may submit an Expression of Interest to procure PARAM Shavak systems under a Buy One, Get One offer or at a 50% discounted price, subject to availability and the eligibility criteria of the buyer

2. Institutions may also choose to procure one or more PARAM Shavak systems at the standard cost. Under this option, the availability of the systems is guaranteed

3. All buyers will receive two user accounts, each with compute credits worth INR 5 lakh, valid for one year. These credits can be utilized on any of the NSM (National Supercomputing Mission) systems across India to run scientific and research applications requiring high-performance computing resources

The rapid evolution of advanced technologies such as High-Performance Computing (HPC), HPC-AI, Data Science, Machine and Deep Learning, Large Language Models, Digital Twin, and Quantum Computing is reshaping industries and research landscapes worldwide. To ensure India’s leadership in these transformative domains, it is imperative to revamp academic curricula, integrate advanced courses, and emphasize practical exposure across AICTE-approved institutions.

In this context, Ministry of Electronics and Information Technology (MeitY), Department of Science and Technology (DST) All India Council of Technical Education (AICTE), and Centre for Development of Advanced Computing (C-DAC) are uniquely positioned to play a catalytic role by offering advanced laboratory setups on PARAM Shavak 2.0 based HPC and DL/ML labs, built upon indigenous technologies such as the Rudra Server, BOSS Operating System, and advanced tools like the HPC GUI, HPC Tutor, CHReME, ONAMA, and AI Support System integrated with the operating system for enhanced user support, represent a significant leap in capability. These state-of-the-art labs will enable students and researchers to gain direct, hands-on training in real-world problem-solving, advanced simulations, and AI-driven applications that are central to the future of science, engineering, and industry.

Beyond strengthening academic learning, this initiative will create a collaborative innovation ecosystem where Academia, Startups, and Industry converge. With MeitY, DST, AICTE, and C-DAC providing the technological foundation, students will engage in frontier research, startups will leverage HPC for rapid prototyping, and industries will validate solutions in partnership with academia. Such synergy will not only accelerate innovation but also ensure that India builds a skilled, future-ready workforce aligned with the nation’s strategic priorities.

Ultimately, the establishment of accessible HPC infrastructure and indigenous technology-driven labs will elevate India’s academic ecosystem, directly contributing to the vision of Viksit Bharat 2047 and advancing the goal of a self-reliant India in high-end computing and AI.

• Provide AICTE-approved institutions with accessible HPC and HPC-AI infrastructure to integrate hands-on training in advanced technologies.

• Support the introduction and upgrading of courses on HPC, AI, ML/DL, Data Science, Quantum Computing, and Digital Twin to align with global advancements

• Deploy HPC systems and software tools developed indigenously, showcasing India’s technological strength and driving national self-reliance

• Create a platform for academia, startups, and industry to co-develop solutions addressing real-world challenges

• Prepare skilled human resources capable of contributing to Viksit Bharat 2047 by equipping students and researchers with next-generation computing skills

• Empower institutions to undertake high-end simulations, data-driven research, and AI-driven innovations across scientific and industrial domains

PARAM Shavak 2.0, developed by C-DAC, is a compact yet powerful High-Performance Computing (HPC) solution designed to serve as a gateway to large HPC clusters. Powered by the indigenous Rudra Server, PS-2.0 integrates the same software stack utilized in full-scale HPC clusters, allowing seamless scalability and compatibility. With its high computational efficiency and low maintenance, PS-2.0 is well-suited for a diverse range of users, including academia, research institutions, startups, and industry professionals.

PARAM Shavak 2.0 holds immense commercial and technological significance, offering vast opportunities across industries, academia, and startups. It effectively bridges the gap between high-end supercomputing infrastructure and local computational needs by providing an affordable, scalable, and accessible HPC platform. The system facilitates software development and optimization for domain-specific applications, fostering innovation in scientific research, artificial intelligence, machine learning, engineering simulations, and data analytics.

As HPC becomes increasingly vital for national and global competitiveness, PS 2.0 plays a crucial role in democratizing access to supercomputing power. C-DAC actively collaborates with government agencies, research institutions, and academia to promote PARAM Shavak through awareness meetings, workshops, and competitions, reinforcing India's technological self-reliance in supercomputing.

• Built on Indigenous Technology C-DAC’s RUDRA series of servers with roadmap support for future processors and indigenous processors

• Installed and configured with Indigenous OS & Software Stack - C-DAC’s BOSS Linux with a user-friendly HPC GUI and pre-integrated HPC tools

• Installed with GPGPU and GPU cards to enable advanced simulations and accelerated computing

• Ready-to-use parallel environment with compilers, libraries, job schedulers, and preloaded HPC/AI applications

• Customizable hardware & software as per academic, research, or industry needs flexible configurations

• Providing support for multiple applications Bioinformatics, Molecular Dynamics, AI/ML, Weather Prediction, Drug Discovery, and more

• Cost-Effective & Compact – Desktop-sized supercomputer eliminating the need for expensive datacenter infrastructure

• No requirement for precision cooling or high-power infrastructure

• Enables faculty, researchers, and students to learn and run HPC/AI workloads without depending on large HPC centers

• Designed and developed by C-DAC under the National Supercomputing Mission (NSM)-Make in India Supercomputing Solution

To cater to different user needs, PARAM Shavak 2.0 is available in multiple variants:

• PARAM Shavak 2.0 HPC Variant
  
  
• PARAM Shavak 2.0 ML/DL Variant
  
  
• PARAM SRISHTI 2.0 Bio, Agriculture Variant

 

Item	HPC SYSTEM	ML/DL SYSTEM	SRISHTI SYSTEM
Processor	2 × Intel Xeon Gold 6240R or equivalent (24 core, 2.4GHz Clock Speed)	2 × Intel Xeon Gold 6240R or equivalent (24 core, 2.4GHz Clock Speed)	2 × Intel Xeon Gold 6240R or equivalent (24 core, 2.4GHz Clock Speed)
RAM	192GiB (Up to 1.28TB) ECC DDR4 3200 MHz, RAM in balanced configuration	192GiB (Up to 1.28TB) ECC DDR4 3200 MHz, RAM in balanced configuration	768GiB (Up to 1.28TB) ECC DDR4 3200 MHz, RAM in balanced configuration
Network	2 × 10GbE network port	2 × 10GbE network port	2 × 10GbE network port
	1 × 1GbE for BMC Management	1 × 1GbE for BMC Management	1 × 1GbE for BMC Management
	1 × Ethernet port for serial communication.	1 × Ethernet port for serial communication.	1 × Ethernet port for serial communication.
Accelerator’s slot/ports etc	2 × PCIe Gen3 x16 Slots for GPU/Co-processors, with appropriate power supply, cables and cooling for two accelerators.	2 × PCIe Gen3 x16 Slots for GPU/Co-processors, with appropriate power supply, cables and cooling for two accelerators.	2 × PCIe Gen3 x16 Slots for GPU/Co-processors, with appropriate power supply, cables and cooling for two accelerators.
Accelerator	1x NVIDIA A30 / A800/ MI 210 for Computation	1x NVIDIA / RTX5000ADA/ RTX4500ADA/ RTX4000ADA/ MI210 for Computation	1x NVIDIA A30 / A800/ MI 210 for Computation
HDD	2 × 15TB NVMe/SATA SSD with Hardware RAID controller – with support of RAID 0,1	2 × 15TB NVMe/SATA SSD with Hardware RAID controller – with support of RAID 0,1	2 × 15TB NVMe/SATA SSD with Hardware RAID controller – with support of RAID 0,1
OS Certified	C-DAC PS-BOSS OS	C-DAC PS-BOSS OS	C-DAC PS-BOSS OS
Power Supply	2400W High Efficiency Power Supply	2400W High Efficiency Power Supply	2400W High Efficiency Power Supply
CPU Cooling	DCLC Based Cooling	DCLC Based Cooling	DCLC Based Cooling
Form Factor	All In One (Table top model)	All In One (Table top model)	All In One (Table top model)
Display Card	Nvidia Tesla P1000/RTXA400	Nvidia Tesla P1000/RTXA400	Nvidia Tesla P1000/RTXA400
Monitor	Integrated 32” Full HD 1920x1080 LCD monitor with Keyboard and Mouse.	Integrated 32” Full HD 1920x1080 LCD monitor with Keyboard and Mouse.	Integrated 32” Full HD 1920x1080 LCD monitor with Keyboard and Mouse.

The PARAM Shavak 2.0 powered advanced labs will democratize access to HPC and HPC-AI infrastructure, enabling AICTE-approved institutions to integrate advanced technologies into teaching and research. By deploying indigenous systems and tools, it will strengthen self-reliance, support next-generation courses, and empower institutions to conduct high-end simulations and AI-driven innovations. Thus, this initiative is targeted towards empowering academic and research institutes with a state-of-the-art HPC and AI platform that can be leveraged for advanced learning, cutting-edge research, and collaborative solution development. Ultimately, it is expected to nurture skilled talent and contribute meaningfully to the vision of Viksit Bharat 2047, Skill India and Self-reliance India.

For detailed agenda, please download the document by clicking on the link below.

Download Detailed Agenda

Terms and Conditions for Allocation of PARAM Shavak Systems

The number of available PARAM Shavak systems is limited. Interested institutions must submit a formal proposal in PDF format expressing their interest.

The proposal should clearly describe:
- Intended academic and research use
- Participating departments and the expected number of users
- Expected outcomes and overall impact

All proposals will be reviewed by a duly constituted committee. Based on the evaluation, the committee will shortlist eligible institutions.

Shortlisted institutions will be invited to make a presentation before the committee.

Final selection will be made based on the following criteria:
- Quality of the proposal
- Performance in the presentation
- Availability of systems

Allocation of systems is not on a first-come, first-served basis. The decision of the committee shall be final and binding.

Selected institutions will be required to:
- Formally accept the terms and conditions
- Confirm financial commitment
- Ensure readiness for system installation and operation