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 toolkit includes GPU-accelerated libraries, debugging and optimization tools, a C/C++ compiler, and a runtime library.

Features

• Built-In Capabilities for Easy Scaling: Using built-in capabilities for distributing computations across multi-GPU configurations, you can develop applications that scale from single-GPU workstations to cloud installations with thousands of GPUs.
• Support for Hopper Architecture: Includes next-generation Tensor Cores and Transformer Engine, high-speed NVIDIA NVLink® Switch, mixed-precision modes, second-generation Multi-Instance GPU (MIG), advanced memory management, and standard C++/Fortran/Python parallel language constructs.
• CUDA Developer Tools: A series of tutorial videos designed to get you started using NVIDIA Nsight™ tools for CUDA development, exploring key features for CUDA profiling, debugging, and optimizing.
• Performance-Optimized Libraries: Enhancements to the CUDA graphs API, revamped dynamic parallelism APIs, and new developer tool capabilities.
• CUDA-X™ Libraries: A suite of AI, data science, and math libraries developed to help developers accelerate their applications.

Benefits

• High Performance: Develop high-performance applications with GPU acceleration.
• Scalability: Scale applications from single-GPU workstations to cloud installations with thousands of GPUs.
• Advanced Architecture Support: Leverage the latest NVIDIA Hopper™ and Ada Lovelace architectures.
• Comprehensive Tools: Access a wide range of tools for debugging, profiling, and optimizing applications.
• Developer Support: Benefit from extensive documentation, tutorials, and community support.