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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
The AWS Nitro System serves as the backbone for the newest generation of Amazon EC2 instances, enabling quicker innovation, cost reductions for users, and improved security along with the introduction of new instance types. By rethinking virtualization infrastructure, AWS has transferred essential functions like CPU, storage, and networking virtualization to specialized hardware and software, thus freeing up nearly all server resources for use by instances. This innovative architecture includes several essential components: Nitro Cards, which accelerate and offload I/O tasks for services such as VPC, EBS, and instance storage; the Nitro Security Chip, which minimizes the attack surface and restricts administrative access to prevent human error and tampering; and the Nitro Hypervisor, a streamlined hypervisor that efficiently manages memory and CPU allocation, providing performance that closely resembles that of bare metal systems. Furthermore, the modular nature of the Nitro System facilitates the swift introduction of new EC2 instance types, enhancing the overall agility of AWS services. Overall, this comprehensive approach positions AWS to continue leading in cloud innovation and resource optimization.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon EC2 Inf1 Instances
Yes
Amazon EC2 Trn1 Instances
Yes
AWS EC2 Trn3 Instances
Yes
AWS Elastic Fabric Adapter (EFA)
No
AWS HPC
No
AWS Nitro Enclaves
No
AWS Parallel Computing Service
Yes
Amazon EC2
No
Amazon EC2 Capacity Blocks for ML
No
Amazon EC2 G5 Instances
No
Integrations
Amazon EC2 Inf1 Instances
Yes
Amazon EC2 Trn1 Instances
Yes
AWS EC2 Trn3 Instances
No
AWS Elastic Fabric Adapter (EFA)
Yes
AWS HPC
Yes
AWS Nitro Enclaves
Yes
AWS Parallel Computing Service
No
Amazon EC2
Yes
Amazon EC2 Capacity Blocks for ML
Yes
Amazon EC2 G5 Instances
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
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
Yes
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/ec2/nitro/
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