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---
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title: "OPF Announces New AI Special Integration Group"
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date: "2025-07-11"
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categories:
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- "blogs"
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tags:
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- "openpower"
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- "ibm"
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- "power"
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- "openpower-foundation"
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- "open-source"
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- "ai"
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- "open-hardware"
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- "developer-community"
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- "isa"
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- "power-processor-core"
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---
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**By [OPF AI SIG,](https://openpowerfoundation.org/groups/ai/)**
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The OpenPOWER Foundation is pleased to announce today the addition of the [AI Special Special Integration Group (OPASIG)](https://openpowerfoundation.org/groups/machinelearning/). This new work group will serve the OPF by assisting in preparing next-generation specifications that lay the framework for industry standardization of machine learning related applications on the OpenPOWER platform.
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The OPAISIG's focus on AI-related algorithms and libraries for OpenPOWER will be driven by the current state of the art as well as projected industry trends. This new collaborative work group will propose, port, and optimize identified algorithms and libraries; showcase relevant datasets, tools, and technologies; prepare technical documentation for both software and hardware; and make recommendations to the OPF and industry.
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The new work group will also identify classes of use cases, discuss, and define potential reference solutions which provide value to the AI-related communities. These solutions may include hardware, software, accelerators, or combinations thereof.
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“The addition of an AI specific working group within the OPF will provide a crucial role in fostering collaborative development and standardization in the rapidly evolving landscape of AI. The group will provide key value to the OPF community by promoting transparency and trust, accelerating innovation, ensuring accessibility, establishing standards and best practices, and mitigating risk. I look forward to seeing the output from this workgroup and its member companies as they leverage the vast POWER ecosystem to deliver next generation AI capabilities,” said [James Kulina, Executive Director for OPF](https://www.linkedin.com/in/james-kulina/).
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Backed by decades of industry experience, the work group is co-chaired by Swiss-based [Lionel Clavien](https://www.linkedin.com/in/lclavien/) of [InnoBoost SA](https://www.inno-boost.com/) and Vancouver-based [Kip Warner](https://ca.linkedin.com/in/kip-warner-470354331) of CT, each bringing unique machine learning related industry experience. The former assembles, resells, and incubates various offerings from IBM for small, medium, and enterprise customers. While the latter, CT's [Helios®](https://www.heliosmusic.io), is an AI-powered universal music discovery engine available and optimized for OpenPOWER as an on-premise solution for the management, analysis, and searching of large volumes of data for the media and entertainment industry.
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---
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title: "OPF Announces Winners of Microwatt CPU Hackathon"
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date: "2025-12-09"
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categories:
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- "blogs"
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tags:
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- "openpower"
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- "ibm"
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- "power"
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- "openpower-foundation"
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- "open-source"
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- "ai"
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- "open-hardware"
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- "developer-community"
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- "isa"
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- "power-processor-core"
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- "hackathon"
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---
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**By [OPF,](https://openpowerfoundation.org)**
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The OpenPOWER Foundation is pleased to announce the winners of the [Microwatt Design Challenge](https://chipfoundry.io/challenges/microwatt), in collaboration with [ChipFoundry](https://chipfoundry.io/). The challenge was open to a broad range of participants including hardware engineers, students, researchers, and developers within the OpenPOWER ecosystem.
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The OpenPOWER Foundation, in collaboration with ChipFoundry organized the "Microwatt Momentum" hackathon with the intent to accelerate development of the OpenPOWER Microwatt-core with fully open source tooling. More than 300 teams registered for the hackathon, and the majority submitted design proposals. The proposals covered a wide range of possible enhancements and applications for the Microwatt core, ranging from additions and accelerators to improve security, to sensor applications to computational accelerators for AI, various embedded applications at the edge, and tooling enhancements. The hackathon selected 3 winning designs.
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The first winning design comes from [Eleftherios Batzolis](https://www.linkedin.com/in/eleftherios-batzolis/), an AI hardware researcher at the WESIS Lab, Department Computer Science, Democritus University of Thrace, Greece. The design, titled [“MicroWatt-LX SoC Generator”](https://github.com/Lefteris-B/microwatt_design_challenge), is an extensible, open-source framework for generating parameterizable SoCs based on the Microwatt POWER CPU and LiteX ecosystem.
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The second winning design comes from a team at [National Institute of Technology Karnataka](https://www.linkedin.com/school/nitk-surathkal/), which included [Kushal](http://www.linkedin.com/in/kushalcr), [Aditya A](https://www.linkedin.com/in/adithya-a-b48131301/), [Adhitya S](https://www.linkedin.com/in/adhitya-santhanam-7a34aa28a?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app), [IRIS_NITK](https://www.linkedin.com/search/results/all/?heroEntityKey=urn%3Ali%3Aorganization%3A14416972&keywords=IRIS%2C%20NITK&origin=ENTITY_SEARCH_HOME_HISTORY&sid=QDH), [Ahan](https://www.linkedin.com/in/ahan-p-shetty-329620258/), [Syed Abubakr](https://www.linkedin.com/in/syed-abubaker-bin-junaid-83526b23a/). The design titled [“Minimal Hardware-Debugger with Microwatt”](https://github.com/blue67chillout/Microwatt-Based-MInimalx-Debugger.git), is a project that implements an on-chip hardware debugging platform built around the Microwatt SoC.
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The third winning design comes from a team at [VIPS-TC](https://www.linkedin.com/company/vipsengineering/), including [Dr. Anand Kumar Singh](https://www.linkedin.com/in/dr-anand-kumar-singh-2ab988179), [Sameer Srivastava](https://www.linkedin.com/in/s-m33r/), [Ketan](https://www.linkedin.com/in/ketan-2204a4344/), [Shikha](https://www.linkedin.com/in/shikha-520bb9322), [Ira Tyagi](https://www.linkedin.com/in/ira-tyagi-2b4a3333b/). The design, [“FPGA Fabric Integration with Microwatt”](https://github.com/s-m33r/chipfoundry_fpga_test), this project integrates an FPGA Fabric generated using the OpenFPGA Framework with the Microwatt CPU.
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Designs were chosen by a panel of industry experts, using criteria such as design completeness, prompt documentation (if AI was used), code quality, verification coverage, and design technical merit. The winning designs will be fabricated by ChipFoundry and delivered to their respective design teams in the form of packaged parts and evaluation boards.
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"The Microwatt Design Challenge submissions are a testament to the comprehensive, high-performance open-source tools now at the community's fingertips for the OpenPOWER ISA and Microwatt Core," said [James Kulina](https://www.linkedin.com/in/james-kulina/), Executive Director, OpenPOWER Foundation. "In collaboration with ChipFoundry, we've created an open design flow that will allow our community to innovate at high velocity and deliver novel and impactful open designs. We are absolutely thrilled to welcome these three winning designs into the OpenPOWER ecosystem."
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For more detail on the event and the winning designs, please visit the [Microwatt Hackathon webpage](https://chipfoundry.io/challenges/microwatt).
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---
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title: Raptor IntegriCloud
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member: raptorcomputingsystems
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projects:
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- Open Source
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- Closed Source
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provides:
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- Bare Metal Machines
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- Virtual Machine
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- Container
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- FPGA
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addons:
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- none
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- FPGA
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systems:
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- POWER9
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operatingsystems:
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- Debian
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- Fedora
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weight: -5000
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date: 2022-08-24
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draft: false
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---
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---
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title: University of Oregon Exascale Computing Center
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member: universityoforegon
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projects:
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- Open Source
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provides:
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- Bare Metal Machine
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- Virtual Machine
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- Container
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- FPGA
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addons:
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- none
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- GPU
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- FPGA
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systems:
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- POWER9
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- POWER8
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operatingsystems:
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- Fedora
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- Debian
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weight: -7000
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date: 2022-08-24
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draft: false
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---
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---
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title: DMI College of Engineering
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image: dmicollege.png
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country: India
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link: https://dmice.ac.in
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level: academic
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joined: 2025
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date: 2025-09-01
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draft: false
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---
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