VividSparks.tech is a self-funded high-speed computing technology company specializing in fabless semiconductor innovation. We developed silicon-validated RISC-V IP cores designed for AI/ML, edge computing, high-performance computing (HPC), and data center applications. Our mission is to deliver exceptional computing performance while minimizing power consumption and silicon area requirements. At VividSparks.tech, we believe groundbreaking technology should be innovative, accessible, and affordable—not expensive. By combining advanced architecture with energy-efficient design, we aim to create a new generation of computing solutions that maximize performance, reduce costs, and enable sustainable technological growth across industries worldwide.
Dr. Vijay Holimath, President and CEO of VividSparks.tech, is a technology leader with over 20 years of experience in designing and implementing high-performance computing systems and Network-on-Chip architectures for scientific computing and automotive applications. His research has primarily focused on developing efficient mobile computing algorithms, and he has authored several papers published in reputed research journals. Throughout his career, Dr. Holimath has collaborated with leading educational and research institutions in France, Japan, and the United States. He has also demonstrated strong business acumen by preparing and presenting multiple business plans to investors. Dr. Holimath holds a Ph.D. in Computer Science from the University of Santiago de Compostela, Spain, a Master’s degree in Computer Science from the University of Newcastle, UK, and a Bachelor’s degree in Electronic Engineering from Karnataka University, India. Before founding VividSparks.tech, he worked as a Research and Development Engineer at the National Institute of Informatics, Tokyo, Japan.
Mr. Kumar Senthil is investor and director of VividSparks USA. He is an Angel Investor, Startup mentor, Board member, Strategic startup Advisor and Entrepreneur. He spent 25+ years as a HiTech executive in Product Strategy and development, creating new products and driving Global business generating $B in new revenue. He has founded 4 startups and was part of many familiar Global F-100s including Intel/WindRiver (founding team Autonomous Driving), Qualcomm (founding team Qualcomm Health, Qualcomm Automotive), Motorola (founding team 4G WiMax and LTE) and more. Kumar's recent areas of interest have been in AI compute (founder, NeuEdgeAI), Health Tech (co-founder, KidneyPal) and eCommerce (founder, Kunneckt). He also serves as an advisor to 2 other Startups in the Sacramento, CA region. He shares his time between Northern California and Washington (Seattle) and is highly interested in supporting local communities and startups that are aligned with his vision of creating innovative products and services that improve the quality of our every day lives. Kumar graduated from Texas A&M (USA) and Anna Univ (India).
Irfan Malik is an investor, director of VividSparks Australia, and a respected business leader with more than 25 years of experience in digital technology and innovative business solutions. Throughout his career, he has played a key role in helping numerous startups grow and succeed by providing strategic guidance, mentorship, and investment support. He serves as the National Associate Chair and NSW President of the Australia India Business Council (AIBC), where he contributes to strengthening business and trade relations between Australia and India. With a deep understanding of Australian market needs and business requirements, he actively supports and mentors more than 80 startups globally, including ventures in both India and Australia, while making seed investments in promising businesses. Mr. Malik holds a Bachelor of Engineering from Coimbatore Institute of Technology, India, and a Master’s degree from University of Newcastle, Australia.
2-100K RISC-V 32 IP cores which provide high performance that is unmatched in it's efficiency and size
2-64 RISC-V 64 IP cores that doesn't compromise performance
Premium RacEr + HypersoniK IP architecture configurable more than 100000 cores
Edge Computing
RacEr manycore edge computing solutions RISC-V Instruction Set Architecture with dozens to thousands of cores on a single chip. These systems deliver high parallel processing performance while maintaining low power consumption, making them suitable for edge devices that require real-time data analysis. By processing data locally, they reduce latency, bandwidth usage, and dependence on cloud connectivity. The architecture enables customization for AI inference, sensor fusion, robotics, industrial automation, and IoT applications. RacEr manycore platforms also improve scalability, security, and cost efficiency, providing flexible and energy-efficient computing solutions for next-generation intelligent edge systems.
General Purpose Computing
SupersoniK can run different applications, graphics design, video editing, communicate, play games, and more. The flexibility comes from programmable hardware and operating systems that support multiple programs. SupersoniK best suited forPersonal computers, laptops, smartphones, and servers. Unlike specialized systems built for specific tasks, SupersoniK can adapt to changing user needs, making them essential tools in education research, business, research, entertainment, and everyday life.
Data Center
UltrasoniK can run different data center applications such as cloud computing, web hosting, databases, artificial intelligence, and enterprise applications. Data center computing enables organizations to handle large volumes of data securely, efficiently, and reliably. Modern data centers use virtualization, automation, and distributed architectures to improve performance and scalability. They are essential for supporting digital services, business operations, and internet-based applications worldwide.
The success of any company is driven by strong partnerships that foster innovation, collaboration, and growth. We believe in joining hands with organizations and professionals who can help transform industry challenges into opportunities through synergistic solutions. Our partnership ecosystem spans the entire semiconductor value chain—from chip design, development, and manufacturing to software, testing, deployment, and lifecycle management services. We also welcome collaborations with technology providers, system integrators, research institutions, distributors, and service partners. By working together, we can create greater value for our customers and accelerate mutual success. Connect with us—we look forward to building the future together.
Silicon partners to deliver VividSparks-based Systems on Chips (SoCs) optimized for targeted market opportunities.
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EDA tool vendors to integrate our libraries in their tools and license our IP cores to their customers directly.
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Distributors and agents globally to provide access to our technology through partner products.
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VividSparks development boards are going to be the ideal platform for accelerating the development and reducing the risk of new SoC designs. VividSparks development boards will help customers save time and effort by getting to production sooner and with less manufacturing overhead.
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Partners in development tool solutions are designated to accelerate engineering from SoC design through to software application development.
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Network of software partners to provide customers a wide range of products to get to market faster than the competition.
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Our service provider partners aid VividSparks customers in understanding our product integration into their system, take up development requests if need arises and also offer post development support.
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Experienced technology trainers to offer training on a wide range of VividArithemtiK technology topics on product usage.
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The rapid advancement of artificial intelligence (AI), high-performance computing (HPC), edge computing, and data-intensive applications has significantly increased the demand for scalable and efficient processing architectures. Traditional single-core processors face limitations in performance, power consumption, and parallel task execution, making them inadequate for modern computational needs. To address these challenges, multicore and manycore architectures have emerged as essential solutions. By integrating multiple processing cores on a single chip, these architectures enable parallel execution of tasks, improving performance, throughput, and energy efficiency. Consequently, multicore and manycore systems have become the backbone of modern computing platforms, supporting diverse applications across industries. Read more...
AI/Edge Computing
We presents a 16nm RacEr 496-core RISC-V network-on-chip (NoC). The mesh achieves 1.4GHz at 0.98V, yielding a peak of 695 Giga RISC-V instructions/s (GRVIS) and a record 812,350 CoreMark benchmark score. The main feature is the NoC architecture, which uses only 1881μmm2 per router node, enables highly scalable and dense compute, and provides up to 361 Tb/s of aggregate bandwidth Read more...
HPC
We introduce HypersoniK, which aims to be the default Linux-capable, cache-coherent, 64-bit RISC-V multicore used by the world. In executing this goal, our research aims to advance the world’s knowledge about the “software engineering of hardware.” HypersoniK strives to be community driven and infrastructure agnostic; a multicore which is Pareto optimal in terms of power, performance, area, and complexity. In order to ensure HypersoniK is easy to use, extend, and, most importantly, trust, development is guided by three core principles: Be Tiny, Be Modular, and Be Friendly. Development efforts have prioritized the use of intentional interfaces and modularity and silicon validation as first-order design metrics, so that users can quickly get started and trust that their design will perform as expected when deployed. Read more...
Data Center
We present the 99 mm2, 12 nm FinFET, 2048-core UltrasoniK RISC-V manycore System-on-Chip (SoC) which includes the world’s first implementation of Ruche Networks, a wire-maximal Network-on-Chip (NoC) topol-ogy. Prior architecture research argues for UltrasoniK’s physical and logical scalability, programmability, and high density; this paper shows a concrete realization in silicon. The paper demonstrates strong results running in silicon on 2048 cores over a diverse set of representative parallelized applications, and also a world record on CoreMark score. Read more...
The proposed methodology enables rapid prototyping of hardware accelerators and RISC-V cores such as HypersoniK, RacEr, and UltrasoniK on Xilinx Zynq platforms. A key advantage is full-system simulation in VCS before FPGA deployment, allowing developers to verify functionality, debug issues, and reduce development risk early in the design cycle. The framework includes a standardized FPGA shell that offers reusable communication components between host-side C or Python applications running on the ARM processor and the target accelerator or soft processor core. This interface is modular and customizable, enabling efficient integration, experimentation, and system-level hardware/software co-design. Read more...
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