Abhas Kumar Sinha

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.

This room is for teenagers and AI enthusiasts. It's just for random dot patterns.

Computer Science Engineering Discussions and Software/Hardware Development

याहाँ पर सारे बंदे आ कर अपना-अपना ज्ञान बाटते है॥ (People talk about different things)

This is a general discussion room. Here we chat about random stuff 😉 Physics chatters might prefer 'The h Bar' 👉 https://chat.stackexchange.com/rooms/71/the-h-bar

This is the year 2109 on Earth. The reign of Terminators and Artificial Intelligence has begin. The whole human race is running under the risk of extinction. They are taking over our system, internet, PC(s), mobiles, TV(s), networks... Welcome here to join the group of dedicated scientists and enthusiast here, we are on a mission to save humanity by designing another advanced AI to neutralize the bad AI(s). We work for humanity, we work for future. Welcome here. We safegaurd humanity! <3