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What is Rackspace?

Enhanced capabilities for full-lifecycle cloud native development allow customers to build applications that are prepared for the future. By leveraging the extensive resources of the cloud now, organizations can design applications that meet the demands of tomorrow. Traditionally, strategies for adopting the cloud have focused primarily on migrating infrastructure and applications, often overlooking necessary updates in the foundational code. While the cloud has always offered benefits such as elasticity and scalability, its true potential is unlocked only when application code undergoes modernization. Adopting cloud native technologies and modern architectures facilitates the development of innovative applications that fully utilize the cloud’s capabilities, improving agility and accelerating innovation. By creating applications that can self-heal and automatically scale, organizations free themselves from traditional server limitations. Serverless architectures not only enhance efficiency and reduce costs but also shift the burden of infrastructure and software management to the platform, leading to a more efficient development process. This transformation enables companies to prioritize innovation over infrastructure, setting the stage for remarkable advancements in their offerings. Ultimately, embracing this shift in mindset can propel organizations into a new era of rapid technological progress.

What is Amazon Elastic Inference?

Amazon Elastic Inference provides a budget-friendly solution to boost the performance of Amazon EC2 and SageMaker instances, as well as Amazon ECS tasks, by enabling GPU-driven acceleration that could reduce deep learning inference costs by up to 75%. It is compatible with models developed using TensorFlow, Apache MXNet, PyTorch, and ONNX. Inference refers to the process of predicting outcomes once a model has undergone training, and in the context of deep learning, it can represent as much as 90% of overall operational expenses due to a couple of key reasons. One reason is that dedicated GPU instances are largely tailored for training, which involves processing many data samples at once, while inference typically processes one input at a time in real-time, resulting in underutilization of GPU resources. This discrepancy creates an inefficient cost structure for GPU inference that is used on its own. On the other hand, standalone CPU instances lack the necessary optimization for matrix computations, making them insufficient for meeting the rapid speed demands of deep learning inference. By utilizing Elastic Inference, users are able to find a more effective balance between performance and expense, allowing their inference tasks to be executed with greater efficiency and effectiveness. Ultimately, this integration empowers users to optimize their computational resources while maintaining high performance.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
AlertOps
Boardwalktech
Cloudflare
Google Cloud Platform
HostBill
HybridMount
IBM Apptio
MQTTRoute
Microsoft Azure
New Relic
Rackspace OpenStack
RecoveryTools Email Backup Wizard
Shopify
VMware Cloud
Value Innovation Labs Enterprise HRMS
Value Innovation Labs Marketing Automation Platform
Zoho DataPrep
activeDEFENCE
cloud-init

Integrations Supported

Amazon Web Services (AWS)
AlertOps
Boardwalktech
Cloudflare
Google Cloud Platform
HostBill
HybridMount
IBM Apptio
MQTTRoute
Microsoft Azure
New Relic
Rackspace OpenStack
RecoveryTools Email Backup Wizard
Shopify
VMware Cloud
Value Innovation Labs Enterprise HRMS
Value Innovation Labs Marketing Automation Platform
Zoho DataPrep
activeDEFENCE
cloud-init

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

Rackspace

Date Founded

1998

Company Location

United States

Company Website

www.rackspace.com

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/machine-learning/elastic-inference/

Categories and Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Web Hosting

Cloud Hosting
DDOS Protection
Dedicated Hosting
Email Hosting
Managed Hosting
Multiple Datacenter Locations
Private SSL
SSD Storage
Server Backups
Shared Website Hosting
Unlimited Bandwidth Option
VPS
Website Builder

Categories and Features

Infrastructure-as-a-Service (IaaS)

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

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Popular Alternatives

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