CUDA Description
CUDA®, a parallel computing model and platform developed by NVIDIA, is designed for general computing using graphical processing units. CUDA allows developers to accelerate computing applications using GPUs.
In GPU-accelerated apps, the sequential workload is run on the CPU (which is optimized for single threaded performance), while the compute-intensive portion of the application is run on thousands of GPUs in parallel. CUDA allows developers to program in popular languages like C, C++ Fortran, Python, and MATLAB, and express parallelism using extensions.
The CUDA toolkit from NVIDIA includes everything you need to create GPU-accelerated applications. The CUDA toolkit includes GPU-accelerated library, a compiler and development tools, as well as the CUDA Runtime.
CUDA Alternatives
Mojo
Mojo - a new language for AI developers.
Mojo combines Python's usability with C's performance, unlocking AI hardware programmability and extensibility that is unmatched.
Scale Python down to the metal. Programming low-level AI hardware. No C++ or Cuda required.
With the most advanced compilers and runtimes, you can harness the full power of your hardware, including the multiple cores, vectors and exotic accelerators. You can achieve performance comparable to C++ and CUDA, without the complexity.
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Tencent Cloud GPU Service
Cloud GPU Service provides GPU computing power and high-performance parallel computing. It is a powerful tool for the IaaS layer that delivers high computing power to deep learning training, scientific computation, graphics and image processors, video encoding/decoding, and other intensive workloads.
Improve your business efficiency with high-performance parallel processing. Install your deployment environment quickly using preinstalled driver and GPU images, CUDA and cuDNN, and auto-installed GPU and CUDA drivers. TACO Kit is a computing acceleration engine that Tencent Cloud provides to accelerate distributed training and inference.
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NVIDIA DRIVE
Software is what transforms a vehicle into a smart machine. Open source software stack NVIDIA DRIVE™, enables developers to quickly build and deploy a variety state-of the-art AV applications. This includes perception, localization, mapping, driver monitoring, planning and control, driver monitoring and natural language processing. DRIVE OS, the foundation of the DRIVE SoftwareStack, is the first secure operating system for accelerated computation. It includes NvMedia to process sensor input, NVIDIACUDA®, libraries for parallel computing implementations that are efficient, NVIDIA TensorRT™ for real time AI inference, as well as other tools and modules for accessing hardware engines. NVIDIA DriveWorks®, a SDK that provides middleware functions over DRIVE OS, is essential for autonomous vehicle development. These include the sensor abstraction layer (SAL), sensor plugins, data recorder and vehicle I/O support.
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NVIDIA RAPIDS
The RAPIDS software library, which is built on CUDAX AI, allows you to run end-to-end data science pipelines and analytics entirely on GPUs. It uses NVIDIA®, CUDA®, primitives for low level compute optimization. However, it exposes GPU parallelism through Python interfaces and high-bandwidth memories speed through user-friendly Python interfaces. RAPIDS also focuses its attention on data preparation tasks that are common for data science and analytics. This includes a familiar DataFrame API, which integrates with a variety machine learning algorithms for pipeline accelerations without having to pay serialization fees. RAPIDS supports multi-node, multiple-GPU deployments. This allows for greatly accelerated processing and training with larger datasets. You can accelerate your Python data science toolchain by making minimal code changes and learning no new tools. Machine learning models can be improved by being more accurate and deploying them faster.
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Pricing
Pricing Starts At:
Free
Free Version:
Yes
Integrations
Company Details
Company:
NVIDIA
Year Founded:
1993
Headquarters:
United States
Website:
developer.nvidia.com/cuda-zone
Media
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Product Details
Platforms
Windows
Mac
Linux
Type of Training
Documentation
CUDA Features and Options
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