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Description
Amazon Elastic Inference provides an affordable way to enhance Amazon EC2 and Sagemaker instances or Amazon ECS tasks with GPU-powered acceleration, potentially cutting deep learning inference costs by as much as 75%. It is compatible with models built on TensorFlow, Apache MXNet, PyTorch, and ONNX. The term "inference" refers to the act of generating predictions from a trained model. In the realm of deep learning, inference can represent up to 90% of the total operational expenses, primarily for two reasons. Firstly, GPU instances are generally optimized for model training rather than inference, as training tasks can handle numerous data samples simultaneously, while inference typically involves processing one input at a time in real-time, resulting in minimal GPU usage. Consequently, relying solely on GPU instances for inference can lead to higher costs. Conversely, CPU instances lack the necessary specialization for matrix computations, making them inefficient and often too sluggish for deep learning inference tasks. This necessitates a solution like Elastic Inference, which optimally balances cost and performance in inference scenarios.
Description
Cloudalize's GPU-enhanced solutions provide unmatched agility, flexibility, and security for a variety of applications including IIoT and Machine Learning, as well as support for remote work. With a comprehensive suite of GPU-powered cloud services, Cloudalize enables businesses to realize their true potential. Their Desktop-as-a-Service (DaaS) offering allows users to effortlessly design and render projects using a wide array of professional software from leading vendors. This DaaS solution is quick to launch, making it an affordable and efficient option for organizations looking to enhance collaboration and enable remote work across any device. It boasts exceptional processing capabilities, ensuring operations run seamlessly and with minimal risk. Furthermore, Cloudalize’s GPU-powered DaaS is well-suited for both small to medium enterprises and larger organizations with extensive user bases, making it a versatile choice for any scale of operation. Ultimately, leveraging Cloudalize’s technology can significantly elevate a company's performance and productivity.
API Access
Has API
API Access
Has API
Integrations
Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
MXNet
PyTorch
TensorFlow
Integrations
Amazon EC2
Amazon EC2 G4 Instances
Amazon Web Services (AWS)
MXNet
PyTorch
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
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/machine-learning/elastic-inference/
Vendor Details
Company Name
Cloudalize
Founded
2011
Country
Belgium
Website
www.cloudalize.com
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring
Product Features
Desktop as a Service (DaaS)
Admin Console
Application Management
BYOL Management
Backup & Recovery
Cloud Encryption
Device Management
File Management
GPU Virtualization
Multi-Factor Authentication
Policy Management
Single Sign On
User Provisioning
Virtual Desktop (VDI)
Desktop-as-a-Service
Load Balancing
Multi-Device Support
Multi-Factor Authentication
Permissions / Access Controls
Self Service Portal
Third Party Integration