An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.

英伟达发布最新版CUDA 13.1，官方直接定性：这是自2006年诞生以来最大的进步。 核心变化是推出全新的CUDA Tile编程模型，让开发者可以用Python写GPU内核，15行代码就能达到200行CUDA C++代码的性能。 英伟达是不是亲手终结了CUDA的“护城河”？如果英伟达也转向Tile ...

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...