Think Differentย โขย 1y
Harnessing GPU Power with CUDA CUDA (Compute Unified Device Architecture) is a parallel computing platform by Nvidia that unleashes the power of GPUs for more than just graphics rendering. Initially developed in 2007, CUDA enables massive parallel processing, making it essential for tasks like deep learning, AI, and data science. By writing CUDA kernels in C++, developers can leverage thousands of GPU cores to process data efficiently. CUDA revolutionizes how large datasets are computed by using blocks and threads to optimize performance. Its impact is profound in AI research, making GPUs indispensable for training complex neural networks and advancing machine learning technologies.

Senior developer | b...ย โขย 1y
new programming language Alart. **No Loops in this language. Bend Bend is a massively parallel, high-level programming language. that will do one week's job in 7 days with 7 computers Unlike low-level alternatives like CUDA and Metal, Bend has the
See MoreSoftware Developer f...ย โขย 1m
NVIDIA just pledged up to $100B to OpenAI to build out multi GW AI data centers with millions of GPUs, marking one of the biggest infrastructure bets in AI history.. This isnโt just scale โ itโs a signal: GPU power will be the backbone of who leads t
See MoreBelieve in yourselfย โขย 1y
Nvida surpasses Apple to become the 2nd-most-valuable in the world Nvidia has become the world's second-most-valuable company, surpassing Apple, with a market valuation of $3.014 trillion, driven by the ongoing AI boom and high demand for its AI-ena
See More19 y/o | 12th dropou...ย โขย 14d
Power cut. Heavy rain. Thunderstorm outside. Sitting near the door of my house, with wet weather all around โ reading Zero to One by Peter Thiel. ๐ง๏ธ 19-year-old 12th dropout, learning how to build the future โ one page at a time. โก๐ #ZeroToOne #St
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