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What is ORBexpress?

The ORBexpress® line of products showcases OIS's cutting-edge implementation of CORBA technology, providing a high-efficiency solution. By embracing a standards-driven methodology, developers are able to craft applications that shine in terms of portability and interoperability. The use of a commercially supported ORB allows these developers to focus more on application creation rather than the intricacies of system-level coding. ORBexpress acts as a standards-compliant alternative to proprietary communication protocols, all while minimizing application overhead and footprint. This technology simplifies the workflow for software developers, facilitating the development of distributed applications that are not only scalable and efficient but also robust, thus enabling quicker response to market needs. Designed with a focus on real-time, embedded, and high-performance development scenarios, the ORBexpress product suite combines outstanding performance with exceptional reliability, ensuring that applications operate effectively across a range of environments. Ultimately, it empowers developers to expand their innovative potential while preserving system stability and integrity, making it an invaluable asset in today's technology-driven landscape. Furthermore, ORBexpress encourages collaboration among developers, leading to shared knowledge and enhanced project outcomes.

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.

Media

Media

Integrations Supported

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform

Integrations Supported

AWS Marketplace
Azure Marketplace
Domino Enterprise AI Platform

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

Objective Interface Systems

Company Location

United States

Company Website

www.ois.com/Products/communications-middleware.html

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/hpc-sdk

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

HPC

Popular Alternatives

Popular Alternatives

CUDA Reviews & Ratings

CUDA

NVIDIA