Shri Abhishek Das
Shri Abhishek Das is an Indian scientist, researcher, inventor, technology leader, and entrepreneur specializing in High-Performance Computing (HPC), Artificial Intelligence (AI), supercomputing infrastructure, distributed and parallel processing systems, and advanced computational technologies. He currently serves as the Chief Executive Officer (CEO) and Managing Director (MD) of Accelerate Compute India Pvt Ltd.
With approximately two decades of technical and scientific experience, Das has contributed to major national technology initiatives, including the National Supercomputing Mission (NSM), National Monsoon Mission (NMM), and IndiaAI Mission. His work encompasses the conceptualization, design, architecture, development, and deployment of large-scale computing infrastructure, from gigascale computing environments to exascale supercomputing technologies capable of performing up to one quintillion calculations per second.
His professional expertise spans CPU-based and GPU-accelerated supercomputing architectures, energy-efficient computational infrastructure, advanced storage technologies, AI-ready computing platforms, scientific applications, and national technology capability development.
Throughout his career, he has contributed to strengthening India's supercomputing infrastructure through the PARAM ecosystem, developing scalable AI computing facilities, and enabling academic institutions, researchers, scientists, startups, and industries to access advanced computational resources.
He has also authored and co-authored research papers published or presented through national and international platforms associated with IEEE, ACM, Springer, Elsevier, and other scientific publishers and conferences.
Professional Overview
| Particulars | Details |
|---|---|
| Full Name | Shri Abhishek Das |
| Nationality | Indian |
| Profession | Scientist, Researcher, Inventor, Strategic Technology Adviser and Entrepreneur |
| Current Position | CEO & Managing Director |
| Organization | Accelerate Compute India Pvt Ltd |
| Professional Experience | Approximately Two Decades |
| Core Expertise | Distributed and Parallel Computing, Artificial Intelligence and Machine Learning, Quantum Computing |
| Specialized Technologies | CPU-GPU Accelerated Computing, Supercomputing, AI Infrastructure, Advanced Storage and Exascale Computing |
| Former Organisations | IndiaAI, DIC, MeitY and C-DAC |
| National Mission Programs | National Supercomputing Mission, National Monsoon Mission, IndiaAI Mission |
| Notable Projects | PARAM Siddhi-AI, PARAM Shivay, AIRAWAT, IndiaAI Compute Capacity |
| International Award | Atos Joseph Fourier Prize 2021 |
| Research Contributions | Scientific Publications, HPC Architecture, AI Computing and Computational Research |
Professional Career and Scientific Leadership
Shri Abhishek Das has held several scientific, technical, and executive responsibilities throughout his professional career.
At the Centre for Development of Advanced Computing (C-DAC), he served in positions including Technical Officer, Senior Technical Officer, Principal Technical Officer, Joint Director, Program Director for HPC-AI Infrastructure Development, and Officer on Special Duty (OSD) to the Director General.
He subsequently served as General Manager of the IndiaAI Compute Capacity vertical under the IndiaAI Mission, implemented through Digital India Corporation under the Ministry of Electronics and Information Technology, Government of India.
In these capacities, his responsibilities included the design and implementation of national computing infrastructure, technology architecture, scientific project management, advanced research platforms, and coordination with academic, government, and industry stakeholders.
He has also served as Principal Investigator and Site Coordinator for multiple projects involving the development and deployment of high-performance computing and artificial intelligence hardware and software solutions.
His career reflects a transition from hands-on scientific engineering and advanced systems architecture to national technology programme leadership and corporate management.
A. National Mission Mode Programs
1. IndiaAI Mission
Shri Abhishek Das has contributed to the development of India's artificial intelligence computing infrastructure through his involvement in the IndiaAI Mission.
His major contributions include the following:
IndiaAI Expert Group Working Report (2023)
He contributed to drafting and preparing the IndiaAI Expert Group Working Group report on IndiaAI Future Labs Compute, published in October 2023.
The report recommended a three-tier model for establishing India's AI computing infrastructure, comprising high-end, mid-range, and edge computing facilities.
The proposed architecture included a high-end computing centre with 10,000 GPUs and approximately 40 exaflops of performance, together with distributed mid-range and edge computing facilities for AI training and inference.
IndiaAI Compute Capacity Platform
Under the IndiaAI Compute Capacity vertical, he contributed to the development of a heterogeneous common computational platform involving 14 empanelled industry partners and more than 38,000 GPUs.
The infrastructure incorporated computing technologies associated with AMD, Intel, NVIDIA, AWS, and Google, with the objective of making AI computing resources accessible to startups, researchers, academic institutions, scientists, students, industry, and public-sector organizations.
IndiaAI Compute Portal
He coordinated the development of the IndiaAI Compute Portal, designed to provide users with access to GPU computing resources, memory, storage, and cloud-based AI platform services.
The platform was intended to support the development of AI applications, tools, technologies, and foundation models, including Small Language Models (SLMs), Large Language Models (LLMs), and Large Multimodal Models (LMMs).
AI Supercomputing Infrastructure – 2025
He contributed to the technical design of the Request for Proposal published in October 2025 for implementing approximately 1.1 exaflops of AI supercomputing infrastructure at the National Data Centre, Shastri Park, New Delhi.
The proposed infrastructure was designed to support AI training and inference workloads with multiple numerical precision capabilities.
Research on Indigenous Immersion Cooling
In December 2024, he co-authored the technical concept article Next Generation of Make-In-India Single-Phase Dielectric Coolant Immersion Cooling Solution for AI Workloads on Cloud.
The publication examined opportunities for developing indigenous immersion cooling technologies to reduce data-centre energy consumption, improve efficiency, and support cost-effective AI computing infrastructure.
IndiaAI Innovation Centre
He also contributed to the technical evaluation of large multimodal, large language, and small language models, including projects such as BharatGen, Zenteiq, and Fractal.
These activities supported the evaluation of indigenous AI foundation models designed for Indian applications, languages, datasets, and technological requirements.
2. National Monsoon Mission (NMM)
Under the National Monsoon Mission, Shri Abhishek Das served as Principal Investigator for the research project Portable CFS Model with Performance Optimization and Enhanced Usability at the Indian Institute of Tropical Meteorology (IITM), Pune.
The project focused on porting the Climate Forecast System (CFS) model from IBM Power architecture to Intel- and AMD-based x86-64 computing platforms.
Its technical objectives included improving computational performance, optimizing and parallelizing scientific codes, upgrading climate forecasting modules, integrating additional Earth system components, and developing a web-based portal for model execution and management.
The work aimed to improve the accessibility, computational efficiency, and usability of climate forecasting applications, including those used for monsoon rainfall prediction.
3. National Supercomputing Mission (NSM)
Shri Abhishek Das has made extensive contributions to India's National Supercomputing Mission through the development and deployment of advanced supercomputing systems.
PARAM Siddhi-AI
He contributed to the conceptualization, architecture, design, and implementation of PARAM Siddhi-AI, a national artificial intelligence supercomputing facility commissioned in 2020.
With a stated peak AI computing performance of 210 petaflops, the system was developed to support deep learning, machine learning, scientific computing, data analytics, and advanced AI research.
PARAM Siddhi-AI achieved the 62nd position in the TOP500 global supercomputing list announced during SC20.
The facility included approximately 10.5 petabytes of storage infrastructure, with high-throughput capabilities supporting large-scale scientific and AI workloads.
PARAM Shivay – IIT BHU
He contributed to the implementation of the 833-teraflops PARAM Shivay supercomputer at the Indian Institute of Technology (Banaras Hindu University), Varanasi.
The facility was the first supercomputer commissioned under the NSM Build Approach and was inaugurated by the Prime Minister of India on 19 February 2019.
Indigenously Manufactured PARAM Supercomputers
His contributions also included the implementation of supercomputing systems developed under the NSM Build Approach:
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PARAM Ganga – IIT Roorkee, 1.3 petaflops, commissioned March 2022.
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PARAM Ananta – IIT Gandhinagar, 833 teraflops, commissioned May 2022.
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PARAM Smriti – National Agri-Food Biotechnology Institute, Mohali, 833 teraflops, commissioned November 2021.
These systems supported India's objective of strengthening domestic capabilities in supercomputing hardware, software, middleware, and systems integration.
AI Supercomputing Facilities at IIT Delhi and NIC
He served as Site Coordinator for implementing AI computing facilities at the School of Artificial Intelligence, IIT Delhi, and the National Informatics Centre, New Delhi.
The proposed facilities incorporated computing capacities of approximately 250 AI petaflops and 50 AI petaflops, respectively.
SAMHAR-COVID19 Initiative
In April 2020, he coordinated the SAMHAR-COVID19 initiative, focusing on the application of supercomputing, artificial intelligence, machine learning, and healthcare analytics to research challenges associated with the COVID-19 pandemic.
The programme addressed computational applications involving disease forecasting, drug discovery, genomic analysis, medical imaging, surveillance, and healthcare data analytics.
ARM-Based High-Performance Computing Testbed
He contributed to the design and implementation of a 100-teraflops ARM-based high-performance computing testbed using Fujitsu A64FX processors at C-DAC, Pune, in April 2020.
The project explored alternative processor architectures for advanced scientific computing.
B. Creating National Scalable AI Supercomputing Infrastructure at C-DAC
Shri Abhishek Das contributed to the design, architecture, and implementation of AIRAWAT (AI Research Analytics and Knowledge Dissemination Platform), a scalable AI computing infrastructure developed to strengthen national research capabilities.
The AIRAWAT Proof of Concept featured approximately 200 AI petaflops of mixed-precision peak computing capacity.
Its integration with PARAM Siddhi-AI provided a combined stated peak capacity of 410 AI petaflops.
The integrated system was designed to support AI research, computational innovation, scientific experimentation, and collaboration among research laboratories, academic institutions, industries, and startups.
The platform achieved the 75th position in the TOP500 global supercomputing list announced at the International Supercomputing Conference in Germany in 2023.
This initiative represented an important contribution to the development of nationally accessible AI-ready high-performance computing infrastructure.
C. Creating High-Performance Computational Facilities Through Collaboration with Academic and Research Institutions in India
A significant part of Shri Abhishek Das's professional career has involved developing advanced computational infrastructure in collaboration with academic institutions, scientific laboratories, government organizations, and research centres.
His major contributions, presented in the sequence of his professional biodata, include the following.
1. PARAM Ambar – National Atmospheric Research Laboratory
He served as Project Investigator for the development of the 1.65-petaflops PARAM Ambar (Advanced Machine for Basic Atmospheric Research) supercomputing facility at the National Atmospheric Research Laboratory (NARL), Tirupati.
Commissioned in November 2020, the facility incorporated Intel Xeon Cascade Lake CPUs, NVIDIA Tesla V100 GPUs, and Intel Omni-Path networking technologies.
The system was developed to support atmospheric and oceanic research, climate modelling, weather forecasting, cloudburst prediction, air-quality studies, and disaster management applications.
2. NSM Platform for Genomics and Drug Discovery
In January 2020, he served as a member of the Technical Specifications Drafting Committee for implementing a Big Data Cluster and associated storage infrastructure at C-DAC, Pune.
The project supported the National Supercomputing Mission's applications in genomics and drug discovery.
3. Supercomputing Infrastructure at NTRO
In January 2023, he contributed to designing and drafting technical specifications for a supercomputing infrastructure project at the National Technical Research Organisation (NTRO), New Delhi.
The proposed facility included approximately 960 teraflops of high-performance computing capacity and 30 AI petaflops using Intel Xeon scalable processors and NVIDIA A100 GPUs.
4. PARAM Ishan – IIT Guwahati
He contributed to the design and implementation of PARAM Ishan, a 250-teraflops high-performance computing facility commissioned at IIT Guwahati in September 2016.
The system was designed to support research in weather and climate science, molecular dynamics, life sciences, chemistry, physical sciences, and bioinformatics.
5. PARAM Kanchenjunga – NIT Sikkim
As Principal Investigator, he contributed to the design and implementation of PARAM Kanchenjunga, a 15-teraflops supercomputing facility at the National Institute of Technology Sikkim in April 2016.
The system supported multidisciplinary engineering research, advanced computational applications, and scientific capability development.
6. Supercomputing Facility – NIT Silchar
He served as Principal Investigator for the implementation of a 15-teraflops computing facility at NIT Silchar, Assam, commissioned in April 2014.
The infrastructure supported GPU computing, parallel programming, benchmarking, and engineering research.
7. Serendipity – NABI Mohali
In 2013, he contributed to the deployment of the Serendipity high-performance computing facility at the National Agri-Food Biotechnology Institute, Mohali.
The infrastructure incorporated Fujitsu computing systems and approximately 20 TB of storage for agricultural biotechnology research.
8. PARAM Shavak Deep Learning GPU
In 2016, he contributed to the development of PARAM Shavak Deep Learning GPU, a compact high-performance computing solution designed for academic institutions and research organizations.
The system integrated Intel processing technologies, NVIDIA GPU acceleration, storage infrastructure, and deep learning software libraries, supporting computing performance of up to 25 teraflops of single-precision operations.
He subsequently spearheaded deployment of PARAM Shavak Deep Learning GPU systems during 2017–2018 at:
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NIT Kurukshetra, Haryana
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SVNIT Surat, Gujarat
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VSSUT Burla, Odisha
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Saurashtra University, Rajkot
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L. D. Engineering College, Ahmedabad
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College of Engineering and Technology, Bhubaneswar
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Indira Gandhi Institute of Technology, Sarang
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Parala Maharaja Engineering College, Berhampur
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Centurion University of Technology and Management, Odisha
These deployments contributed to expanding access to advanced GPU computing infrastructure for research and academic applications.
9. PARAM Shavak HPC Systems
Between 2014 and 2018, Shri Abhishek Das spearheaded the deployment of PARAM Shavak high-performance computing systems across central, state, and private academic institutions.
The deployments incorporated NVIDIA GPU and Intel Xeon Phi accelerator technologies for scientific workloads requiring double-precision computation.
The institutions included Assam University, Jadavpur University, NIT Meghalaya, Assam Engineering College, Tezpur University, NIT Delhi, NIT Agartala, Sikkim Manipal Institute of Technology, Sambalpur University, Central University of Himachal Pradesh, NIT Kurukshetra, C. R. Rao Advanced Institute of Mathematics, Statistics and Computer Science, SVNIT Surat, National Botanical Research Institute Lucknow, VSSUT Burla, Institute of Seismological Research Gandhinagar, Hemchandracharya North Gujarat University, Gujarat Biotechnology Research Centre, CET Bhubaneswar, IGIT Sarang, and PMEC Berhampur.
These installations supported the decentralization of advanced research infrastructure and strengthened computational research capabilities within Indian educational institutions.
10. High-Performance Computing Facility – Jawaharlal Nehru University
In 2007, he served as Team Lead for the design and implementation of a 64-node supercomputing facility at the School of Information Technology, Jawaharlal Nehru University, New Delhi.
The system incorporated AMD Opteron processing technologies, high-speed networking, and approximately 4 TB of storage to support scientific and academic research.
11. Supercomputing Facility – IIT Delhi
In 2007, he led the design and implementation of a 16-node high-performance computing facility at the Computer Services Centre, IIT Delhi.
The facility used AMD Opteron processors and high-speed networking and storage technologies.
12. High-Performance Computing Facility – NCMRWF
In 2009, he led the design and commissioning of a 32-node computing facility at the National Centre for Medium Range Weather Forecasting (NCMRWF), Noida.
The infrastructure supported computational research in weather prediction and climate science.
13. Computational Facility – IIT Delhi, Centre for Atmospheric Sciences
In 2010, he led the design and implementation of a 16-node high-performance computing facility at the Centre for Atmospheric Sciences, IIT Delhi.
The facility utilized Intel Xeon processors and high-speed communication infrastructure for atmospheric research applications.
14. High-Performance Computing Facility – North-Eastern Hill University
In 2008, he led the commissioning of a 4-teraflops computing facility at North-Eastern Hill University, Shillong.
The system supported parallel and distributed computing through x86 processor architecture and high-speed networking.
15. Computational Facility – Physical Research Laboratory
He served as Team Lead for the commissioning of a 3-teraflops computing facility with approximately 10 TB of storage at the Physical Research Laboratory, Ahmedabad, in 2008.
The infrastructure was intended to support space science, atmospheric science, astronomy, astrophysics, theoretical physics, and planetary science research.
16. PARAM GEM – NEIST Jorhat
In 2008, he served as Project Investigator for the design and commissioning of the PARAM GEM High-Performance Computing Centre at the North East Institute of Science and Technology, Jorhat.
The system supported applications including scientific data processing and early-warning information dissemination.
17. High-Performance Computing Facility – Bharathidasan University
In 2010, he served as Project Lead for the design and commissioning of a 32-node high-performance computing facility at Bharathidasan University, Tamil Nadu.
The facility supported academic and scientific applications involving parallel computing.
D. Exascale Computing Mission at C-DAC
In 2020, Shri Abhishek Das served as Program Director for the Exascale Computing Mission Mode Programme at C-DAC.
His responsibilities included developing advanced computing architectures and supporting indigenous high-performance computing product development.
The mission's technical focus covered:
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Pre-exascale and exascale system design using indigenous and advanced hardware components.
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Development of the Exascale System Cluster Development Suite.
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Exascale facility services, HPC management platforms, and collaborative computational environments.
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Development of exascale capabilities using accelerated computing technologies.
His work in this programme contributed to the strategic objective of strengthening India's technological capabilities in next-generation supercomputing.
E. HPC-AI Infrastructure Development at C-DAC
In 2020, Shri Abhishek Das also served as Program Director for the HPC-AI Infrastructure Development vertical at C-DAC.
The programme focused on developing scalable and advanced high-performance computing infrastructure for artificial intelligence and scientific applications.
Its principal objectives included:
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Design and development of computing systems exceeding 100 AI petaflops, with scalability toward 1,000 AI petaflops and beyond.
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Development of HPC-AI frameworks, including accelerator-based AI libraries and software development kits.
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Development of advanced memory, storage, archival, benchmarking, and innovation laboratory capabilities.
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Porting, optimization, benchmarking, and development of machine learning and deep learning applications on advanced computing systems.
This work reflects his specialization in integrating traditional high-performance computing with emerging AI computational workloads.
F. Awards and Recognition
Shri Abhishek Das's professional biodata lists several awards and recognitions for contributions to high-performance computing, scientific innovation, and technology leadership.
1. Atos Joseph Fourier Prize 2021
He received the Atos Joseph Fourier Prize 2021, an international scientific recognition associated with excellence in advanced computing and artificial intelligence in France.
2. Dr. A.P.J. Abdul Kalam Award
He was a member of the C-DAC HPC group that received the Dr. A.P.J. Abdul Kalam Award for Excellence in High-Performance Computing.
3. Director General's Commendation – HPC Technology and Leadership
He received a Director General's Commendation Award recognizing his contributions to high-performance computing technology and corporate leadership.
4. Director General's Commendation – PARAM Shivay
He received a Director General's Commendation Award for his contribution to implementing the high-performance computing facility at IIT BHU, Varanasi, under the National Supercomputing Mission.
The facility was inaugurated by the Prime Minister of India in February 2019.
5. Manthan Award 2013
He received the Manthan Award 2013 for Onama/e-Onama, recognizing innovation associated with computational technology applications.
G. Research Paper Publications (IEEE / ACM / Springer)
Shri Abhishek Das has contributed to scientific research and technical publications covering high-performance computing, artificial intelligence, quantum computing, GPU acceleration, computational modelling, energy-efficient computing, and advanced scientific applications.
His professional biodata documents the following publications and conference contributions in this sequence:
1. Multi-GPU Enabled Quantum Computing on HPC-AI System
Published through Springer at the Seventh International Conference on Data Management, Analytics and Innovation (ICDMAI 2023), held at the Defence Institute of Advanced Technology, Pune, in January 2023.
2. Performance Analysis of Quantum Algorithms on PARAM Siddhi-AI System
Published at the IEEE Trends in Quantum Computing and Emerging Business Technologies conference, held at CHRIST University, Lavasa, Pune, in October 2022.
3. Performance Analysis of Python-Based Finite Volume Solver ANUGA on Modern Architectures
Published through ACM at the Thirteenth International Conference on Contemporary Computing (IC3 2021), held at JIIT, Noida, in August 2021.
4. Molecular Dynamics Simulations Accelerate on Elastic Multi-GPU Architecture
Published through Springer LNNS at the Sixth International Conference on Information and Communication Technology for Competitive Strategies (ICTCS 2021), held in Jaipur.
The research concerned modern GPU architectures, molecular dynamics simulation, and accelerated scientific computation.
5. Running a Single Instruction Execution Stream to Massively Parallelized Computational Operations
Published at the IEEE Second International Conference on Technology, Engineering, Management for Societal Impact Using Marketing, Entrepreneurship and Talent (TEMSMET 2021).
Recognition: Best Paper Award.
6. Deep Learning Driven Structured Energy Efficient Affordable Ecosystem for Computational Learning Theory
Published at the IEEE International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2021), held in October 2021.
7. Performance Analysis of Different Distributions of Python and TensorFlow to Efficiently Utilize CPU on HPC Cluster
Published at the IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET 2021), Cape Town, South Africa.
8. Strategies to Get Better Performance of TensorFlow on Modern GPU Architecture
Published at the IEEE Fourth International Conference on Advances in Electronics, Computers and Communications (ICAECC 2022), REVA University, Bengaluru.
9. HPC – A Benediction for Agriculture
Published at the International Conference on Information Communication and Management (ICICM 2011), Singapore.
The paper was included in the International Proceedings of Computer Science and Information Technology.
10. GREEN High-Performance Computing (HPC)
Selected for publication at the Second International Conference on Smart Materials and Nanotechnology in Engineering (SMNE 2012), Dubai.
11. Resource Management Portal CHReME with Web Interface for Scientific Users
Selected and presented at the HPC Advisory Council Workshop, Lugano, Switzerland.
12. Performance Analysis of WRF Model on PARAM Vayu Cluster
Selected and presented at the International Conference on Smart Technologies (ICST 2011), Chennai.
13. Performance Analysis of GROMACS Using Commercial and Open-Source Implementations of Message Passing Interface Libraries and Compilers
Selected for presentation at the Second International Conference on MetaComputing (ICoMeC 2012).
14. C-DAC Pan India Strategy in High-Performance Computing for Human Advancement
Selected for presentation at the International Conference on Theory and Practice of Electronic Governance (ICEGOV 2012), Albany, New York, United States.
15. Analysis of Molecular Dynamics (MD_OPENMP) on Intel Many Integrated Core Architecture
Published at the International Conference on High-Performance Computing (HPC-UA 2012), Kyiv, Ukraine.
16. Affordable High-Performance Computing for Academic and Engineering Research
Published in the proceedings of the EDULEARN13 International Conference on Education and New Learning Technologies, Barcelona, Spain, in July 2013.
17. Biosequence Analysis Using Intel Xeon Phi
Published at the European Modeling Symposium in 2013.
18. Evaluation of Rodinia Codes on Intel Xeon Phi
Published through ACM at the Intelligent Systems Modelling and Simulation (ISMS) conference in 2013.
19. Benchmarking Analogy of GROMACS Using Commercial and Open-Source MPI Libraries and Compilers
Published at the International Conference on MetaComputing in 2011.
20. e-Onama: Mobile High-Performance Computing for Engineering Research
Published at the IEEE Third International Conference on Innovative Computing Technology (INTECH 2013), London, United Kingdom.
Professional Summary
Shri Abhishek Das represents a professional career combining scientific research, advanced technology architecture, national computing infrastructure development, and executive leadership.
His contributions to the National Supercomputing Mission, IndiaAI Mission, and National Monsoon Mission reflect his involvement in developing computational infrastructure supporting India's scientific, academic, and technological capabilities.
From the implementation of PARAM supercomputing facilities to the development of AI-ready national computing platforms, his work has covered multiple generations of advanced computing technologies.
As CEO and Managing Director of Accelerate Compute India Pvt Ltd, he brings extensive experience in supercomputing systems, artificial intelligence infrastructure, scientific programme management, and technology innovation.
His career reflects a sustained commitment to developing indigenous computing capabilities, strengthening research infrastructure, enabling advanced scientific applications, and supporting India's evolution as a major participant in global high-performance computing and artificial intelligence.
