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What is InterBase and Firebird Data Access Components?

InterBase (along with FireBird) offers Data Access Components, a suite that enables native connectivity for Delphi and C++Builder to both InterBase and Firebird databases. Additionally, it supports Community Edition and Lazarus, along with Free Pascal, catering to both 32-bit and 64-bit systems. Clients utilizing IBDAC can establish direct connections to the server, enhancing the functionality of applications built on this framework. IBDAC is designed to help developers create more efficient and streamlined InterBase applications. This component acts as a comprehensive substitute for conventional InterBase connectivity options, providing a robust alternative to the InterBase express components, the Borland Database Engine (BDE), and the standard dbExpress driver for accessing InterBase databases. By leveraging IBDAC, programmers can achieve superior performance and cleaner code in their database-driven applications.

What is AWS Elastic Fabric Adapter (EFA)?

The Elastic Fabric Adapter (EFA) is a dedicated network interface tailored for Amazon EC2 instances, aimed at facilitating applications that require extensive communication between nodes when operating at large scales on AWS. By employing a unique operating system (OS), EFA bypasses conventional hardware interfaces, greatly enhancing communication efficiency among instances, which is vital for the scalability of these applications. This technology empowers High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that depend on the NVIDIA Collective Communications Library (NCCL), enabling them to seamlessly scale to thousands of CPUs or GPUs. As a result, users can achieve performance benchmarks comparable to those of traditional on-premises HPC clusters while enjoying the flexible, on-demand capabilities offered by the AWS cloud environment. This feature serves as an optional enhancement for EC2 networking and can be enabled on any compatible EC2 instance without additional costs. Furthermore, EFA integrates smoothly with a majority of commonly used interfaces, APIs, and libraries designed for inter-node communications, making it a flexible option for developers in various fields. The ability to scale applications while preserving high performance is increasingly essential in today’s data-driven world, as organizations strive to meet ever-growing computational demands. Such advancements not only enhance operational efficiency but also drive innovation across numerous industries.

Media

Media

Integrations Supported

AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Amazon Web Services (AWS)
Caffe
Chainer
MXNet
OpenFOAM
PyTorch
SAP Store
TensorFlow

Integrations Supported

AWS HPC
AWS Nitro System
AWS ParallelCluster
Amazon
Amazon EC2
Amazon Web Services (AWS)
Caffe
Chainer
MXNet
OpenFOAM
PyTorch
SAP Store
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

$169.95
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

Devart

Date Founded

1997

Company Location

Czech Republic

Company Website

www.devart.com

Company Facts

Organization Name

United States

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/hpc/efa/

Categories and Features

Categories and Features

HPC

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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