We begin by importing the core Python modules that we need for system operations, downloads, timing, and JSON handling. We check whether we are running inside Google Colab, define a reusable section ...

CUDA almost blew a hole in Nvidia’s finances, according to chief executive Jensen Huang. Huang told the Lex Fridman podcast that the 2006 push to make GeForce GPUs programmable was a bet that could ...

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

In this tutorial, we explore how to use NVIDIA Warp to build high-performance GPU and CPU simulations directly from Python. We begin by setting up a Colab-compatible environment and initializing Warp ...

WASHINGTON, DC - APRIL 30: U.S. President Donald Trump (L) listens as Nvidia CEO Jensen Huang speaks in the Cross Hall of the White House during an event on "Investing in America" on April 30, 2025, ...

第一章：什么是 GPU 并行计算？ 学习目标：理解并行计算的基本概念，以及为什么 GPU 适合并行计算 假设你需要计算 100 道数学题，每道题需要 1 分钟。 图示说明（来自 CUDA C++ Programming Guide 12.2.1）：GPU 将更多晶体管用于数据处理，而非数据缓存和流控制。

NVIDIA's new CUDA Tile IR backend for OpenAI Triton enables Python developers to access Tensor Core performance without CUDA expertise. Requires Blackwell GPUs. NVIDIA has released Triton-to-TileIR, a ...

Competition in the GPU industry ultimately comes down to developer ecosystems. Against that backdrop, Moore Threads' inaugural MUSA Developer Conference (MDC 2025) on December 20-21 marked a clear ...

Abstract: Heterogeneous CPU-GPU systems are extensively utilized in high-performance computing. Compute Unified Device Architecture (CUDA) [1] is a model for programming the GPUs. A CUDA program ...