Sri Koundinyan

Sri Koundinyan works on the CUDA platform, making CUDA more accessible and effective for developers. He was previously part of NVIDIA’s solution architect team, supporting academic customers in effectively using GPUs. Before joining NVIDIA, Sri was with Microsoft Research, where he explored LLM-based retrieval applications. He earned his PhD in Electrical Engineering from Stanford University.
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Posts by Sri Koundinyan

Developer Tools & Techniques

Introducing CUDA Rust: Two Tracks for Writing GPU Kernels

In September 2026, NVIDIA announced it is leaning into native GPU programming in Rust. CUDA C++ and CUDA Python are mature, enterprise-grade toolchains, and... 13 MIN READ
Developer Tools & Techniques

CUDA Python 1.0: Stable APIs, One Foundation, Full Platform Access

For years, a Python developer who needed a GPU had two realistic choices: Learn NVIDIA CUDA C++ well enough to write an extension, set up a build toolchain, and... 12 MIN READ