Impressive. I work for Nvidia. I will make sure this work will be noted
Impressive. I work for Nvidia. I will make sure this work will be noted
Thanks for sharing. Even more interesting is that they used a desktop GPU, very far from datacenter ones. I know a couple of people that can turn this idea into a product!
folks, please don't submit LLM-generated PRs to open source projects. It makes no sense.
If the maintainers want to use an LLM to fix an issue, they can use Claude or whatnot directly. They don't need you as intermediary, that's just silly.
If they don't want to use LLMs, they have reasons.
New from EPRI: Our updated Powering Intelligence analysis of U.S. data center electricity demand.
Data centers could consume 9-17% of U.S. electricity by 2030, up from 4-5% today.
Our projections are ~60% higher than last year's. Here's why. π§΅
Thanks, there is so much confusion in the market right now. Even a blog post scares investors
Nice but Latex is now obsolete. @typst.app is way ahead
I do not fear the rise of superintelligence.
I do, however, fear the rise of billionaires, organizations, and world powers who seek to use computing to maximize their power, influence, and control.
Please welcome Google's Open Source efforts to Blue Sky at @opensource.google!
My group is hiring several interns for next summer to help us build the next generation of GPU supercomputers! We work on architecture, bringup, applications, and analysis for clusters based on the latest NVIDIA compute and networking technologies.
ACM Digital Library is going open access January 2026!
dl.acm.org/openaccess
AI data center buildouts already rival the Manhattan Project in scale, but thereβs little public info about them.
So we spent the last few months reading legal permits, staring at satellite images, and scouring news sources.
Hereβs what you need to know. π§΅
π on the #Cpp Release Radar!
π NVIDIA/cccl: v3.1.0
π Download and details here:
π https://github.com/NVIDIA/cccl/releases/tag/v3.1.0
A masterpiece. I loved when I read it years ago
Scaring
I work here. CCCL is the CUDA C++ Standard library and beyond #cpp #nvidia #gpu #cuda
Having kids..This is something you might desperately regret when you're 35 or older.
The crazy thing is that, in most cases, they don't even have the outlier.
U.S. is once again the world's frontrunner in private AI investment in 2024, leaving other countries behind with a whopping $109.1B π€
Pradeep Jayakody breaks down the data at: https://www.voronoiapp.com/category/AI-Private-Investment-A-Global-Breakdown-in-2024-6637
Preprint:
Highly efficient protein structure prediction on NVIDIA RTX Blackwell and Grace-Hopper
nvda.ws/4n4xzz9
Visit the NVIDIA Digital Biology Labs website to find more information like this:
t.co/R9ufEZrGEA
Being a professor is so weird. You are constantly having to act like you know things.
Just to avoid polarization hsph.harvard.edu/news/using-a...
Are you just as excited as I am about deep learning, sparse matrices and tensors, sparse computations, structured and unstructured sparsity, sparse compilers, NVIDIA, and GPUs? If so, please note that my team at NVIDIA is hiring!
nvidia.wd5.myworkdayjobs.com/NVIDIAExtern...
spectacular - the best car in the world by far! It's one of the things that makes me proud to be Italian.
β‘ Hackernews Top story: ACM Transitions to Full Open Access
π¨ New open-source tool: RefChecker
A tool that checks reference accuracy in academic papers.
β
Parses PDFs, LaTeX, and text
β
Catches broken DOIs, wrong authors, messed-up URLs
β
Built with GitHub Copilot & Claude
π github.com/markrussinov...
As a European, it is embarrassing to see Europe subjugated by the United States. This is no deal. This is a unilateral decision.
Is NVIDIA's GH200 the breakthrough for #HPC workloads, or is Grace merely a memory controller? In a Salishan Random Access talk, we analyze its complex memory system (with a hidden Easter egg!) and demonstrate its potential for revolutionary, large-scale science runs. π₯π #NVIDIA #AI
buff.ly/dUpJRs4
In a world full of so-called "experts," modesty is a sign of true competence.
Nvidia now generates roughly $4 million in revenue for each employee they have
That's the highest among all of big tech
#HPC #AI #GPU
GPU Glossary by Modal
modal.com/gpu-glossary