Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS Inferentia accelerators, engineered by AWS, aim to provide exceptional performance while minimizing costs for deep learning (DL) inference tasks. The initial generation of AWS Inferentia accelerators supports Amazon Elastic Compute Cloud (Amazon EC2) Inf1 instances, boasting up to 2.3 times greater throughput and a 70% reduction in cost per inference compared to similar GPU-based Amazon EC2 instances. Numerous companies, such as Airbnb, Snap, Sprinklr, Money Forward, and Amazon Alexa, have embraced Inf1 instances and experienced significant advantages in both performance and cost. Each first-generation Inferentia accelerator is equipped with 8 GB of DDR4 memory along with a substantial amount of on-chip memory. The subsequent Inferentia2 model enhances capabilities by providing 32 GB of HBM2e memory per accelerator, quadrupling the total memory and decoupling the memory bandwidth, which is ten times greater than its predecessor. This evolution in technology not only optimizes the processing power but also significantly improves the efficiency of deep learning applications across various sectors.
Description
With just one command, you can swiftly create an Ubuntu virtual machine using Multipass, which is capable of launching and managing VMs while configuring them with cloud-init, akin to public cloud environments. This tool allows you to experiment with cloud launches right on your local machine at no cost, and in just five minutes, you'll realize how effortlessly a lightweight cloud setup can be achieved. To get started, you can launch several LTS instances, check their status, execute commands, apply cloud-init configurations, and remove older instances as needed. For those looking to master the Linux command line, the "Ubuntu Server CLI cheat sheet" serves as a quick reference for skills ranging from basic file management to advanced deployments like Kubernetes and OpenStack. Multipass also features a command line interface that simplifies the launching, management, and interaction with Linux instances. You'll find that downloading a fresh image is incredibly fast, enabling you to have a fully operational VM in mere minutes. Furthermore, you can create Ubuntu instances and initialize them with cloud-init metadata, similar to setups on AWS, Azure, Google, IBM, and Oracle clouds, allowing you to effectively simulate a cloud deployment directly on your workstation. This capability makes it easier than ever to experiment and learn about cloud computing without the need for extensive resources.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS EC2 Trn3 Instances
Yes
AWS Parallel Computing Service
Yes
Amazon EC2 Inf1 Instances
Yes
Amazon EC2 Trn1 Instances
Yes
Ansible
No
Anyscale
Yes
Cisco AnyConnect
No
Huawei FusionStorage
No
IBM Cloud
No
Intelligent Management Center
No
Integrations
AWS EC2 Trn3 Instances
No
AWS Parallel Computing Service
No
Amazon EC2 Inf1 Instances
No
Amazon EC2 Trn1 Instances
No
Ansible
Yes
Anyscale
No
Cisco AnyConnect
Yes
Huawei FusionStorage
Yes
IBM Cloud
Yes
Intelligent Management Center
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/machine-learning/inferentia/
Vendor Details
Company Name
Canonical
Founded
2010
Country
United Kingdom
Website
multipass.run/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No
Product Features
Infrastructure-as-a-Service (IaaS)
Analytics / Reporting
No
Configuration Management
No
Data Migration
No
Data Security
No
Load Balancing
No
Log Access
No
Network Monitoring
No
Performance Monitoring
No
SLA Monitoring
No