Kompute Joins LF AI & Data as New Sandbox Project

LF AI & Data Foundation—the organization building an ecosystem to sustain open source innovation in artificial intelligence (AI) and data open source projects, today is announcing Kompute as its latest Sandbox Project.

Released and open sourced by The Institute for Ethical AI & Machine Learning, Kompute is a general purpose GPU compute framework for AI & Machine Learning applications which works across cross-vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). The Kompute framework provides a flexible interface that can be adopted by mobile, desktop, cloud and edge applications to enable for highly optimizable GPU acceleration. The framework includes a high-level Python interface that enables for advanced data processing use-cases, as well as an extensible low-level C++ interface that provides for high performance device-specific optimizations.

The core objective of the Kompute project is to contribute to and further the GPU computing ecosystem across both, scientific and industry applications, through cross-vendor graphics card tooling and capabilities. We have seen very positive reception and adoption of Kompute across various development communities, including advanced data processing use-cases in mobile applications, game development engines, edge device and cloud, and we look forward for Kompute to serve as a platform to empower the discourse on topics related to GPU acceleration for cross-industry applications.

Alejandro Saucedo, Chief Scientist at The Institute for Ethical AI & Machine Learning, said: “Many advanced machine learning and deep learning paradigms fit incredibly well to the parallel architecture that GPU computing offers, and exciting advancements in the open source ecosystem such as the Kompute Project are enabling developers to take advantage of GPU acceleration in cross-vendor mobile, desktop, cloud and edge applications. We believe the Linux Foundation is the right platform to encourage and empower the cross-industry discourse required to further the GPU acceleration ecosystem. We are proud for Kompute to become a LF AI & Data project, and we look forward to an ongoing collaboration.”

LF AI & Data supports projects via a wide range of services, and the first step is joining as an Incubation Project. Learn more about Kompute on their GitHub and join the Kompute-Announce Mailing List and Kompute-Technical-Discuss Mailing List. We also encourage you to subscribe to the Monthly Kompute GPU Acceleration Sessions, to join the community and stay connected on the latest updates – subscription instructions available here.

A warm welcome to Kompute! We look forward to the project’s continued growth and success as part of the LF AI & Data Foundation. To learn about how to host an open source project with us, visit the LF AI & Data website.

Kompute Key Links

• Website
• GitHub
• Monthly Kompute GPU Acceleration Sessions
• Videos:
  • GPU Accelerated Python on Cross-Vendor Graphics Cards with Kompute
  • GPU Computing Optimizations Made Simple in C++ with Kompute
• Blog Posts:
  • Kompute Python Intro and Hands on Tutorial
  • Adding GPU Acceleration to Mobile Apps with Kompute
  • Using Kompute to add GPU Acceleration in Game Development
  • Kompute C++ Intro and Hands on Tutorial
  • Optimizations for GPU Intensive Workloads in C++ Kompute
• Mail Lists:
  • Kompute-Announce
  • Kompute-Technical Discuss
  • Kompute-TSC
• Artwork

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