AI developers use popular frameworks like TensorFlow, PyTorch, and JAX to work on their projects. All these frameworks, in turn, rely on Nvidia's CUDA AI toolkit and libraries for high-performance AI ...

英伟达显卡的CUDA内核的英文为“Compute Unified Device Architecture”，简而言之，它是由英伟达开发的一种并行计算平台和编程模型，允许开发者利用NVIDIA GPU进行通用计算，CUDA核心是这个平台上执行具体运算的基础单元。 二、CUDA内核的优势 它最主要的用途在于将GPU ...

Nvidia Corporation's high profit margins face pressure as competitors and major AI firms pursue chip alternatives. Click for ...

Most notably, the chipmaker announced a compiler source code enabling software developers to add new languages and architecture support to Nvidia’s CUDA parallel programming model. The new ...

A hands-on introduction to parallel programming and optimizations for 1000+ core GPU processors, their architecture, the CUDA programming model, and performance analysis. Students implement various ...

Hello folks，我是 Luga，今天我们来聊一下人工智能应用场景 - 构建大模型推理关键技术 - “ CUDA Graph”。 随着 LLM 的参数规模与应用场景以前所未有的速度扩张，推理（Inference）阶段的性能优化，已从单纯追求理论浮点运算（FLOPs）的竞赛，转向一场对 ...

In a move that shouldn't be that surprising, NVIDIA has announced that its popular CUDA platform is being ported to x86. The obvious angle here is that this will give NVIDIA a weapon against OpenCL ...

Programmers have been interested in leveraging the highly parallel processing power of video cards to speed up applications that are not graphic in nature for a long time. Here, I explain how to do ...

In this Programming Throwdown podcast, Mark Harris from Nvidia describes CUDA programming for GPUs. “CUDA is a parallel computing platform and programming model invented by NVIDIA. It enables dramatic ...

Getting started with parallel programming is easier than ever. In fact, now you can develop right on your Macbook Pro using its built-in Nvidia GeForce GPU. Over at QuantStart, Valerio Restocchi has ...