Know more less zero about him but He gives off good vibes

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50252315)

more than you ever wanted to know about him: https://www.youtube.com/watch?v=wYUTMgGxZzc

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50252323)

Intel literally made that exact mistake in the mid-2010s (focusing on financials instead of innovating, allowing a competitor to catch up and eventually overtake them), and now it's not out of the question that it won't see the next decade.

Jensen personally deserves credit for seeing where the industry was going (GPUs used for general compute instead of solely graphics rendering) 10+ years before everybody else and pushing the company into that direction, making bets that would only pay off very far down the line.

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50257982)

most amerishit are retards and dont understand tech shit esp chips like advanced doritto and shit

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50252331)

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50252808)

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CUDA traces to the early 2000s, when Ian Buck, a computer science PhD student at Stanford University, began experimenting with using GPUs for purposes beyond rendering graphics. Buck had become interested in GPUs during his undergraduate studies at Princeton University, initially through video gaming. After graduation, he interned at Nvidia, gaining deeper exposure to GPU architecture. At Stanford, he built an 8K gaming rig using 32 GeForce graphics cards, originally to push the limits of graphics performance in games like Quake and Doom. However, his interests shifted toward exploring the potential of GPUs for general-purpose parallel computing.[11]

To that end, Buck developed Brook, a programming language designed to enable general-purpose computing on GPUs. His work attracted support from Nvidia and the Defense Advanced Research Projects Agency (DARPA). In 2004, Nvidia hired Buck and paired him with John Nickolls,[12] then director of architecture for GPU computing. Together, they began transforming Brook into CUDA.[11] CUDA was officially released in 2007.

CUDA became central to the company's strategy of positioning GPUs as versatile hardware for scientific applications. By 2015, CUDA's development increasingly focused on accelerating machine learning and artificial neural network workloads.[13]

(https://xoxohth.com/thread.php?thread_id=5921560&forum_id=2#50252744)