Andrew Kerr @arkerr
NVIDIA Principal Compute Architect. github.com/NVIDIA/cutlass Atlanta Joined November 2007-
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New premium seating option lets you sit next to Israelis for extra security
Today, NVIDIA is launching the next paradigm shift in GPU programming: cuTile BASIC Write perf portable BASIC kernels and deploy them at any scale from edge inference devices like your calculator to entire GPU clusters We're going back to BASIC developer.nvidia.com/blog/cuda-tile…
What three languages are joining cuTile Python? Find out Monday at 4PM at @NVIDIAGTC 2026. nvidia.com/gtc/session-ca…
@NRA_Rifleman @SavageArms Savage 110 action is the most ridiculous Rube Goldberg contraption of the modern era. Explain the floating rear baffle, please. I want my money back.
@MarinaMedvin The camera clearly lurches forward as the vehicle is backing up.
Thrilled to announce we're open-sourcing the CUDA Tile dialect and bytecode! github.com/NVIDIA/cuda-ti… What's included: • CUDA Tile MLIR dialect • Bytecode serialization/deserialization support • MLIR Python bindings for programmatic IR construction • Conformance test suite For developers: You can now integrate CUDA Tile directly into your projects using MLIR and generate CUDA Tile dialect or bytecode natively! Learn more about CUDA Tile: • NVIDIA Developer: developer.nvidia.com/cuda/tile • CUDA Tile Specification: docs.nvidia.com/cuda/tile-ir/1… This project represents the collaborative effort of multiple teams across NVIDIA. A huge thanks to everyone who made this possible! It has been a privilege to be involved.
@adamscochran Posting any of these without citations is preposterous.
Like SGLang? Want speed of light decode perf? Checkout: github.com/sgl-project/sg…
CUTLASS 4.1 is now available, which adds support for ARM systems (GB200) and block scaled MMAs
🚨🔥 CUTLASS 4.0 is released 🔥🚨 pip install nvidia-cutlass-dsl 4.0 marks a major shift for CUTLASS: towards native GPU programming in Python slidehelloworld.png docs.nvidia.com/cutlass/media/…
I shared Elon’s 5-step video with every intern: stop wasting time on dumb things. In large companies, many software layers are built simply to expand engineering managers’ scope, adding needless complexity and protecting their jobs.
If you don't have the attention span for daily briefings, you shouldn't be president. So many who are quick to point out Biden's mental decline are hesitant to call out Trump's mental decline. The obvious solution is to stop electing really, really old people to serve as president.
🎉CUTLASS 4.0 is here-bringing native #Python support for device-side kernel design, for ops like GEMM, Flash Attention, and more, powered by the new CuTe DSL. For the first time, you can write high-performance GPU kernels in Python with the same abstractions, APIs, and performance as CUTLASS C++-no compromises. The learning curve for writing optimized kernels is flattened: no more wrestling with C++ templates or long compile times. CUTLASS 4.0’s Python support delivers: 👀 🏎️ Performance on par with C++ kernels ⏱️ 100x+ faster compile times 🤔 Intuitive, Python-native syntax ⚒️ No need for NVCC installs-just pip install nvidia-cutlas-dsl and go 🤝 Seamless integration with PyTorch and the broader Python ecosystem 📚 Improved documentation and a better debugging experience: docs.nvidia.com/cutlass/ Key features in #CUTLASS 4.0: ✅ CuTe DSL: Python-native, low-level programming model mirroring CuTe C++ abstractions (layouts, tensors, thread/data hierarchy) ✅ Supports for NVIDIA Ampere, Ada, Hopper, and Blackwell Tensor Cores ✅ Examples and Jupyter notebooks for rapid onboarding ✅ Further improved Blockwise and Groupwise GEMMs on Hopper and Blackwell Whether you’re a researcher, student, or ML engineer, CUTLASS 4.0 with Python lowers the barrier to high-performance GPU programming and accelerates the path from prototype to production. 📝 Examples: github.com/NVIDIA/cutlass… 📗 Jupyter notebooks: github.com/NVIDIA/cutlass… We’re excited to see what you build-feedback and contributions welcome. 🙌 (Note: CuTe DSL is currently in public beta and will evolve with community feedback. C++ APIs remain fully supported for existing workflows).
🚨🔥 CUTLASS 4.0 is released 🔥🚨 pip install nvidia-cutlass-dsl 4.0 marks a major shift for CUTLASS: towards native GPU programming in Python slidehelloworld.png docs.nvidia.com/cutlass/media/…
Blackwell Tensor Core 2CTA GEMM example in one slide courtesy of CuTE. github.com/NVIDIA/cutlass…
@hyhieu226 @nvidia These are compiled languages in the CUDA ecosystem, not wrappers. CUTLASS 4 and cuTile are implemented with a robust and domain-aware compiler with clear benefits for programmers (e.g. fast compile times, clear and succinct error messages, Python syntax).
@nopainkiller @msharmavikram @__tensorcore__ @NVIDIAGTC CUTLASS 4 will be a substantial departure from the existing CUTLASS Python interface which will be deprecated upon its release.
Congratulations, @bingxu_!
Just received a certificate from David. Unbelievable—I’ve been babysitting at home for 5 years. I hope to meet more friends in person once they’ve grown up.
@jessesingal I believe the movie WarGames released in 1983 demonstrates that hacking is cool. en.m.wikipedia.org/wiki/WarGames This is an absurd quandary to tweet about.
The open source DeepSeek-R1 model is now available as an NVIDIA NIM microservice preview on build.nvidia.com to help developers securely experiment with its advanced AI reasoning capabilities.
Securely experiment and build your own specialized agents, as the 671-billion-parameter DeepSeek-R1 model is now available as an NVIDIA NIM microservice in preview on build.nvidia.com. Learn more ➡️ nvda.ws/4grQaBq
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