The NVIDIA® CUDA® Toolkit provides a development environment for creating high-performance, GPU-accelerated applications. With it, you can develop, optimize, and deploy your applications on GPU-accelerated embedded systems, desktop workstations, enterprise data centers, cloud-based platforms, and supercomputers.

The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable ...

Get the latest feature updates to NVIDIA's compute stack, including compatibility support for NVIDIA Open GPU Kernel Modules and lazy loading support.

NVIDIA HPC SDK. 全套 C、C++和 Fortran 编译器、库和工具，适用于 GPU 加速的 HPC 应用程序。

The AMD GPU Services (AGS) should be your first port of call when working with AMD GPUs. It provides software developers with the ability to query AMD GPU software and hardware state information that is not normally available through standard operating systems or graphics APIs.

The AMD Pensando Software-in-Silicon Development Kit (SSDK) provides a complete container-based development environment for creating and integrating data plane, management plane, and control plane functions, including DPU fast path, DPU slow path, security offloads, PCIe® emulation, and CPU complex applications.

NVIDIA Omniverse™ 是一个 API、SDK 和服务平台，使开发者能够轻松地将通用场景描述 (OpenUSD) 和 NVIDIA RTX™ 渲染技术集成到构建 AI 系统的现有软件工具和仿真工作流中。 ... NVIDIA Brev 通过跨云的无缝 GPU 访问、自动环境设置和灵活的部署选项来简化 AI 开发，使开发 …

使用Qualcomm® Adreno™ SDK，您可以充分利用了Adreno GPU提供的图形和计算能力。 该定制的Adreno GPU集成的Snapdragon™处理器和移动设备上沉浸式的2D和3D游戏体验。

NVIDIA ® CUDA® 工具包为创建高性能 GPU 加速应用提供开发环境。 借助它，您可以在 GPU 加速的嵌入式系统、桌面工作站、企业数据中心、基于云的平台和超级计算机上开发、优化和部署应用。 该工具包包括 GPU 加速库、调试和优化工具、C/C++编译器和运行时库。 借助在多 GPU 配置中分配计算的内置功能，您可以开发从单 GPU 工作站到拥有数千个 GPU 的云安装的应用程序。 CUDA 12 引入对 NVIDIA Hopper™ 和 Ada Lovelace 架构、Arm® 服务器处理器、延迟模块和 …

NVIDIA GPU Computing Documentation. The GPU Computing SDK includes 100+ code samples, utilities, whitepapers, and additional documentation to help you get started developing, porting, and optimizing your applications for the CUDA architecture. You can get quick access to many of the SDK resources on this page, or download the complete SDK.