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Modder creates 8,192-core GPU with RISC-V microcontrollers at home

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Key points

  • Built with 8,192 RISC-V microcontrollers
  • Draws 2,161 watts of power
  • Custom-designed PCBs and power circuits created
  • Final project targets a resolution of 320x200

Overview of the Project

Matthias Balwierz, known as Bitluni, has built a massive GPU using 8,192 RISC-V microcontrollers. Initially intended to create a display, Balwierz repurposed the idea to directly drive RGB LEDs, leading to a combination GPU-monitor design.

The project aimed for a resolution of 320x200, utilizing 64,000 chips in total, marking a nostalgic nod to retro gaming resolutions.

Technical Specifications

Balwierz selected QingKe CH570 RISC-V units, each with a 32-bit CPU running at up to 100 MHz, featuring integrated USB and Bluetooth capabilities. The overall power consumption reaches 2,161 watts, requiring a substantial power supply setup.

The microcontrollers cost approximately $0.13 each, which totals over $8,000 for the complete chip array. He utilized a Corsair WS3000 ATX power supply for this substantial power draw.

Design and Challenges

Every aspect of the project, from PCBs to power circuits, was custom-designed by Balwierz. This included his first attempt at designing a six-layer PCB, showcasing significant skills in DIY electronics. The project pushed the limits of available fabrication services.

Potential and Impact

This project serves as an illustration of creative hardware innovation in the face of escalating GPU prices. It reflects the capabilities of microcontrollers and the enthusiasm of hobbyists in the tech community. While this GPU may not compete with commercial offerings, it is a testament to the possible advancements in DIY computing.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

Matthias Balwierz has constructed a home-built GPU using 8,192 RISC-V microcontrollers, drawing over 2,000 watts. This project highlights the potential for DIY hardware innovation despite high commercial GPU prices.