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AI Reasoning at Scale Try out DeepSeek-R1’s reasoning capabilities with NVIDIA-hosted APIs or deploy it anywhere with NVIDIA NIM inference microservices. Accelerate Apache Spark ML on NVIDIA GPUs with Zero Code Change How Using a Reranking Microservice Can Improve Accuracy and Costs of Information Retrieval Superchar

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developer.nvidia.com > blog > introducing-cuda-rust-two-tracks-for-writing-gpu-kernels

Introducing CUDA Rust: Two Tracks for Writing GPU Kernels

1+ week, 2+ day ago   (1308+ words) 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 NVIDIA will be growing and maturing CUDA Rust into 2027 and beyond The systems layer of AI spans…...


developer.nvidia.com > blog > cuda-python-1-0-stable-apis-one-foundation-full-platform-access

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

3+ week, 37+ min ago   (1398+ words) 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 maintain bindings back to Python, which most people never did; or…...