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Description

The Elastic Fabric Adapter (EFA) serves as a specialized network interface for Amazon EC2 instances, allowing users to efficiently run applications that demand high inter-node communication at scale within the AWS environment. By utilizing a custom-designed operating system (OS) that circumvents traditional hardware interfaces, EFA significantly boosts the performance of communications between instances, which is essential for effectively scaling such applications. This technology facilitates the scaling of High-Performance Computing (HPC) applications that utilize the Message Passing Interface (MPI) and Machine Learning (ML) applications that rely on the NVIDIA Collective Communications Library (NCCL) to thousands of CPUs or GPUs. Consequently, users can achieve the same high application performance found in on-premises HPC clusters while benefiting from the flexible and on-demand nature of the AWS cloud infrastructure. EFA can be activated as an optional feature for EC2 networking without incurring any extra charges, making it accessible for a wide range of use cases. Additionally, it seamlessly integrates with the most popular interfaces, APIs, and libraries for inter-node communication needs, enhancing its utility for diverse applications.

Description

To accommodate the dynamic requirements of your business, you can swiftly add or remove CVMs within minutes. By establishing appropriate policies, you can guarantee that your CVM instances automatically scale up during peak demand periods to maintain application availability and scale down during low-demand periods to optimize costs. The CVM platform provides a diverse array of instances, operating systems, and software packages tailored to your needs. Each instance's CPU, memory, disk, and bandwidth configurations can be adjusted flexibly to align with your application's specifications. Additionally, CVM is compatible with multiple versions of Linux distributions as well as Windows Server editions. As an administrator, you have complete control over your Tencent Cloud CVMs, allowing for comprehensive management capabilities. You can utilize various tools, including the Tencent Cloud console and APIs, to connect to your CVM instances and carry out operations such as rebooting and altering network settings. This flexibility ensures that your infrastructure can adapt to changing demands effectively and efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

United States

Founded

1994

Country

United States

Website

aws.amazon.com/hpc/efa/

Vendor Details

Company Name

Tencent

Founded

2013

Country

China

Website

intl.cloud.tencent.com/product/cvm

Product Features

HPC

Machine Learning

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

Product Features

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

Alternatives

Alternatives