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What is NVIDIA HPC SDK?

The NVIDIA HPC Software Development Kit (SDK) provides a thorough collection of dependable compilers, libraries, and software tools that are essential for improving both developer productivity and the performance and flexibility of HPC applications. Within this SDK are compilers for C, C++, and Fortran that enable GPU acceleration for modeling and simulation tasks in HPC by utilizing standard C++ and Fortran, alongside OpenACC® directives and CUDA®. Moreover, GPU-accelerated mathematical libraries enhance the effectiveness of commonly used HPC algorithms, while optimized communication libraries facilitate standards-based multi-GPU setups and scalable systems programming. Performance profiling and debugging tools are integrated to simplify the transition and optimization of HPC applications, and containerization tools make deployment seamless, whether in on-premises settings or cloud environments. Additionally, the HPC SDK is compatible with NVIDIA GPUs and diverse CPU architectures such as Arm, OpenPOWER, or x86-64 operating on Linux, thus equipping developers with comprehensive resources to efficiently develop high-performance GPU-accelerated HPC applications. In conclusion, this powerful toolkit is vital for anyone striving to advance the capabilities of high-performance computing, offering both versatility and depth for a wide range of applications.

What is NVIDIA NGC?

NVIDIA GPU Cloud (NGC) is a cloud-based platform that utilizes GPU acceleration to support deep learning and scientific computations effectively. It provides an extensive library of fully integrated containers tailored for deep learning frameworks, ensuring optimal performance on NVIDIA GPUs, whether utilized individually or in multi-GPU configurations. Moreover, the NVIDIA train, adapt, and optimize (TAO) platform simplifies the creation of enterprise AI applications by allowing for rapid model adaptation and enhancement. With its intuitive guided workflow, organizations can easily fine-tune pre-trained models using their specific datasets, enabling them to produce accurate AI models within hours instead of the conventional months, thereby minimizing the need for lengthy training sessions and advanced AI expertise. If you're ready to explore the realm of containers and models available on NGC, this is the perfect place to begin your journey. Additionally, NGC’s Private Registries provide users with the tools to securely manage and deploy their proprietary assets, significantly enriching the overall AI development experience. This makes NGC not only a powerful tool for AI development but also a secure environment for innovation.

Media

Media

Integrations Supported

Domino Enterprise MLOps Platform
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

Integrations Supported

Domino Enterprise MLOps Platform
AWS Marketplace
Amazon Web Services (AWS)
Azure Marketplace
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/hpc-sdk

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

ngc.nvidia.com

Categories and Features

HPC

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

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