Every application and framework that uses the GPU does so through CUDA's libraries, compilers, runtimes and language — which means CUDA is growing as fast as its ecosystem is evolving. At this engineering-focused talk by one of the architects of CUDA, you'll learn what's new and what's...
May 09, 2025 CUDA C++ Compiler Updates Impacting ELF Visibility and Linkage Read More May 08, 2025 Spotlight: Accelerating the Discovery of New Battery Materials with SES AI's Molecular Universe Read More Training Get NVIDIA AI Certified Join NVIDIA Certification experts, certified professionals...
May 05, 2025 Just Released: CUDA 12.9 Read More May 02, 2025 HackAI Challenge Winners Announced Read More April 29, 2025 Spotlight: Personal AI Brings AI Receptionists to Small Business Owners with NVIDIA Riva Read More Training Get NVIDIA AI Certified Join NVIDIA Certification experts...
Single and multi-GPU Deep Learning training using TensorFlow, PyTorch and NVIDIA DeepStream Transfer Learning Toolkit High volume, low latency inference using NVIDIA TensorRT, TensorRT Inference Server, and DeepStream Data Science using RAPIDS and XGBoost Application development using the CUDA Toolkit. NGC...
N卡在深度学习领域具备无可替代的地位,这里记录以下在我这台配备GF MX250 N卡笔记本 上安装cuda以及cuNN的具体步骤。MX250属于低端显卡了,一开始我还担心它会不会不支持CUDA,后面确认了一下,发现可以支持。关于确认N卡是否支持CUDA以及支持版本的具体步骤,可以参考我的这篇博客: ...
Learn the basics of writing parallel CUDA kernels to run on NVIDIA GPUs. Self-Paced Course Free 1 hours Take the Course Learn OpenUSD Discover how to supercharge your 3D workflows with Universal Scene Description (OpenUSD), an open and extensible ecosystem for describing, composing, simulating...
NVIDIA-Certified workstations provide the hardware foundation of Data Science Workstations that combine optimized hardware with a data science software stack built on NVIDIA CUDA-X AI. They utilize enterprise-class GPUs to accelerate data science workloads, and are validated for optimal performance, ...
A collection of CUDA-accelerated libraries, AI models, and reference workflows for developing autonomous mobile robots (AMRs) to operate in unstructured environments.
显卡版本需要匹配或者超越CUDA版本。 或者用如下命令,查看显卡版本 cat /proc/driver/nvidia/version 对应本机的个版本下载NVIDIA Driver 和 CUDA,以便于后续在无桌面命令终端操作。 2、禁用自带nouveau 查看是否被禁用命令,没有任何显示说明被禁用成功: lsmod | grep nouveau ...
CUDA Cores 896 GPU Memory 8 GB GDDR6 Peak FP32 Performance 2.50 TFLOPS Memory Interface 128-bit Memory Bandwidth 160 GB/s Max Power Consumption 50 W System Interface PCI Express 3.0 x16 Display Connectors 4x mDP Form Factor 2.713” H x 6.137” L, Low-Profile Single Slot Thermal Solution Ac...