Dr. T

CUDA Python @NVIDIA, @NumFOCUS, former @Xometry, REX Homes, @AnacondaInc

Posts are my own and do not represent the views of NVIDIA or NumFOCUS

[Dr. T @aterrel]

🚀 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

https://t.co/Q4C60KiO4w

[Dr. T @aterrel]

@Rexetdeus @anacondainc We were using the ACE Step project: https://t.co/OAlYyZrC4Y

It generated a new track each time on the fly.

Basically you would generate music while listening so there was a few minutes before the first track played.

[Dr. T @aterrel]

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

[Dr. T @aterrel]

Come learn about CUDA Tile in Julia lang:

https://t.co/E1gjJQcOCq

[Dr. T @aterrel]

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 https://t.co/FBukOkl57d

[PyCon US @pycon]

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

[Dr. T @aterrel]

CUDA Tile expands coverage to everyone's favorite language to use on their calculator.

https://t.co/rN3hIsnp2O

[Dr. T @aterrel]

New Drop. CUDA Tile team has optimizations of Flash Attention algorithms. The computational bottleneck of every transformer.

1.66x speedup on Blackwell.

https://t.co/Ef8FJ4bE0c

[NVIDIA HPC Developer @NVIDIAHPCDev]

🎉 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.👇

[Dr. T @aterrel]

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.

[Dr. T @aterrel]

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.

[Dr. T @aterrel]

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

[yigit @y8hann]

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

[Dr. T @aterrel]

5 more stars until we hit 1000! Come on folks give a product owner some love =P

https://t.co/rN9OMLHnX9

[NVIDIA AI Developer @NVIDIAAIDev]

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. ✨

🔗 https://t.co/5MTRNYGCRp

[Dr. T @aterrel]

#SciPy2025 Announcing the launch of CCCL Python, a missing building block of heterogeneous programming in Python

https://t.co/gfs011IbS7

[NVIDIA HPC Developer @NVIDIAHPCDev]

Proud to support #PyConUS

➡️ https://t.co/d9EWvkCkpO

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

[Dr. T @aterrel]

Come see the CUDA Python team at PyCon in May!

[Dr. T @aterrel]

🚀 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.

https://t.co/9KXTj9Fbjs

[Dr. T @aterrel]

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: https://t.co/dyrB7DMzYO