Daniel Rodriguez

Daniel Rodriguez is a technical product manager on the CUDA Python and DevTools teams at NVIDIA. His efforts are focused on building tooling for data scientists and high-performance computing engineers. Daniel has a background of Electrical Engineering and Data Analytics. Prior to NVIDIA, he worked at Google and multiple enterprise data science companies where he built data related products and contributed to many open source projects.
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Posts by Daniel Rodriguez

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Developer Tools & Techniques Jul 10, 2026

Kernel Fusion in NVIDIA CUDA: Optimizing Memory Traffic and Launch Overhead

There are many ways to optimize code for GPUs. In this post, you’ll learn how kernel fusion can improve memory bandwidth and reduce kernel launch overhead,... 10 MIN READ
Developer Tools & Techniques Feb 18, 2026

Topping the GPU MODE Kernel Leaderboard with NVIDIA cuda.compute

Python dominates machine learning for its ergonomics, but writing truly fast GPU code has historically meant dropping into C++ to write custom kernels and to... 5 MIN READ
Agentic AI / Generative AI Nov 07, 2025

Benchmarking LLMs on AI-Generated CUDA Code with ComputeEval 2025.2

Can AI coding assistants write efficient CUDA code? To help measure and improve their capabilities, we created ComputeEval, a robust, open source benchmark for... 2 MIN READ
Agentic AI / Generative AI Apr 16, 2025

Announcing ComputeEval, an Open Source Framework for Evaluating LLMs on CUDA

Large language models (LLMs) are revolutionizing how developers code and how they learn to code. For seasoned or junior developers alike, today’s... 4 MIN READ