NVIDIA's platform has become the engine of AI for science worldwide. In the past year, 80 new supercomputing systems have been built on NVIDIA technology — spanning more than 300,000 GPUs and delivering over 4,500 exaFLOPS of AI performance. Across generations, the cumulative AI FLOPS of systems on NVIDIA's platform dwarf those built on any alternative. #SC25 Watch the Fireside Chat: https://nvda.ws/4i8G5LO
NVIDIA keeps raising the ceiling, but what really matters now is what sits on top of all this compute. Raw FLOPS accelerate intelligence, verified context accelerates truth. The next leap won’t just come from faster GPUs, but from platforms that ensure AI sees reality as it is.
NVIDIA isn’t just leading the AI race… they’re setting the entire pace 🏎️💨 300,000+ GPUs and 4,500 exaFLOPS is insane. Crazy to think we’re watching the future of compute get built in real time.
How did we get here? NVIDIA’s rise beyond others shows what happens when innovation leads over profit — and yet, profit still follows. Quick reminder: let innovation drive your ideas, and the results (including profit) will come. Thank you, NVIDIA, for making the world a little better every day.
The market anticipates NVDA's earnings report with high expectations in the coming hours. We maintain our confidence in the exceptional leadership of the company's CEO. Go #NVDA
Congratulations
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The most striking aspect of this passage isn't the numbers themselves, but rather the fact that global scientific research efforts have been almost entirely built upon NVIDIA's technology over the past year. The deployment of 80 supercomputing systems in just one year is a scale rarely seen in the industry. It also raises the question: will the simultaneous advancement of so many GPU clusters accelerate key breakthroughs in certain scientific fields?
Incredible scale and performance. NVIDIA truly is powering the engine of AI science with over 4,500 exaFLOPS of cumulative AI performance across their platform.
Read the Blog: https://nvda.ws/4r7JxdR