Open Source Electronics

Developing an open-source GPU model tailored for ML training encounters significant hurdles. NVIDIA engineers dominate due to expertise and resources. Crafting an open-source ML processor with parallel stream processors is daunting despite basic Verilog knowledge. Modern processors' scale, with millions of transistors, dwarfs RISC-V complexity. The query delves into the challenges hindering open-source general-purpose hardware development and the potential for ML experts to contribute.