🚀 One of the proudest moments of my career happened today. After the work of an incredible team, we officially released CUDA Python 1.0 🎉 - Faster Numba Backend - CCCL from host callable Python - Graphs, Green Context, IPC and more developer.nvidia.com/blog/nv…

Come join me at @anacondainc booth today for our CUDA Python 1.0 release. I’ll be hosting our Local LLM generated DJ party on a Spark DGX from 1:15-3 and presenting on the stack at 4pm! #PyConUS

Come learn about CUDA Tile in Julia lang: juliahub.com/events/cutile.j…

Join experts from NVIDIA and probabl and learn how to accelerate @scikit_learn on GPUs, and how OSS codes can use CUDA directly with supported APIs and languages from day one. 📅 May 5 📍 GOSIM 2026 | Station F, Paris bit.ly/4t24Qxi

Huge thanks to @NVIDIA for your continued Visionary sponsorship and support of #PyConUS and the #Python community—we appreciate you! 💙🐍

CUDA Tile expands coverage to everyone's favorite language to use on their calculator. developer.nvidia.com/blog/cu…

New Drop. CUDA Tile team has optimizations of Flash Attention algorithms. The computational bottleneck of every transformer. 1.66x speedup on Blackwell. developer.nvidia.com/blog/tu…

🎉 We’re thrilled to announce the release of CuPy v14.0.0 — packed with new features, major performance boosts, important bug fixes, and more. ✅ Full compliance and support for NumPy v2 and Python Array API standard ✅ Support for CUDA pip wheels - much better installation footprint and interoperability with CUDA Python and PyTorch ✅ Support for structured dtypes & ML dtypes (starting with bfloat16) ✅ Better coverage over new NumPy & SciPy APIs ✅ Support for new cuFFT JIT callbacks - works on both Linux and Windows! ✅ New %gpu_timeit magic for Jupyter notebook users to properly benchmark GPU code This release marks the CuPy 10th anniversary, highlighting our close collaboration between @PreferredNet, and the wider open source community. @CuPy_Team 🥳 Accelerate your Python program on our GPUs.👇

Anyone who has spent an hour with a two toddlers year olds trying to avoid a nap, has no problem believing AI will be super intelligent in the next decade.

Asked Claude to give me a report on how one of my software projects is doing… I think it told me to get a new job.

Where should an over the hill programmer start building with Claude?

I was waiting this for a while and just did a toy project that generates cutile elementwise kernels based on torch export. it was fun

5 more stars until we hit 1000! Come on folks give a product owner some love =P github.com/nvidia/cutile-pyt…

CUDA Tile is the future of GPU programming, and it's in Python. 🐍 cuTile Python in CUDA 13.1 lets you focus on your algorithm, not Tensor Core specifics. Simplify your HPC/AI code now. ✨ 🔗 nvda.ws/44LtUPJ

#SciPy2025 Announcing the launch of CCCL Python, a missing building block of heterogeneous programming in Python developer.nvidia.com/blog/de…

Proud to support #PyConUS ➡️ us.pycon.org/2025/ Meet team in open spaces, summits, sprints & sessions: 🔹 Building transparent systems in Python 🔹 Scale smarter not harder with cuPyNumeric 🔹 Community-driven roadmap for Python packaging 🔹 GPU Programming in pure Python

Come see the CUDA Python team at PyCon in May!

🚀 Calling all CUDA developers! Whether you're a GPU programming newbie or a seasoned CUDA ninja, join our Meet Up! 📅 Jan 30, 5:30 PM PST 📍 Q Bay Center, 160 E Tasman Dr, San Jose, CA 🤝 Connect with the community and shape the future of CUDA. aicamp.ai/event/eventdetails…

Excited to announce my new role on the Admin Board of NumFOCUS! Recently, I posted about our initial meeting on my personal blog. Check it out here: andy.terrel.us/blog/2025/01/…

Obligatory new year's post: andy.terrel.us/blog/2025/01/…