Many organizations have remote operations that are disconnected from corporate networks and the AWS Cloud. These operations, whether they are mines, ships, farms, or remote industrial sites, often need to do critical processing before they ship data back to AWS. Join this interactive chalk talk with the AWS engineering team to understand how the AWS Snowball Edge service can help you capture, preprocess, and migrate data into and out of AWS where you don't have reliable or adequate network connectivity. In particular, we discuss the details of running Amazon EC2 instances and AWS Lambda functions on Snowball Edge for common and emerging edge compute applications.

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Edge Computing Use Cases:
Interactive Deep Dive on AWS
Snowball Edge
Frank Paterra
General Manager, AWS Snowball
S T G 3 8 7
Vaibhav Tyagi
Development Manager, AWS Snowball

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Agenda
What is the AWS Snowball family and why did we build it
Evolution of AWS Snowball
Features and services of AWS Snowball Edge Compute Optimized
Demo
Q & A

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What is Snowball and
why did we build it?
Moving large volumes of data over the internet can take
years – we ship secure physical devices to you to transfer
your data at the source before shipping it back for bulk
import to the cloud.
The cloud is not always accessible from remote locations
where connectivity is sparse or intermittent – deploy
ruggedized devices at the edge with local storage and
compute capacity to process data without network
dependencies.

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AWS Snowball –2015
• Ruggedized, automated logistics
• Data always encrypted and secure
• Automated tracking
• 50 and 80TB capacity
• Dual 10Gb/s interfaces

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AWS Snowball Edge –2016
• Ruggedized, automated logistics
• Data always encrypted and secure
• Automated tracking
• 100TB capacity
• 10, 25, and 40 Gb/s interfaces
• AWS Lambda
• Local Amazon S3 compatible storage

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AWS Snowball Edge –2017
• Ruggedized, automated logistics
• Data always encrypted and secure
• Automated tracking
• 100TB capacity
• 10, 25, and 40 Gb/s interfaces
• AWS Lambda
• Local Amazon S3 compatible storage
• Clusterable, expandable, storage

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AWS Snowball Edge –2018
• Ruggedized, automated logistics
• Data always encrypted and secure
• Automated tracking
• 100TB capacity
• 10, 25, and 40 Gb/s interfaces
• AWS Lambda
• Local Amazon S3 compatible storage
• Clusterable, expandable, storage
• Local Amazon Elastic Compute
Cloud (Amazon EC2) compatible
compute

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Snowball Edge Compute Optimized –2018
• Ruggedized
• Automated logistics
• Data always encrypted and secure
• Automated tracking
• 42TB capacity
• 10, 25, and 40 Gb/s interfaces
• AWS Lambda
• Local Amazon S3 compatible storage
• Clustering
• More Local Amazon EC2 compatible
compute
• Nvidia V100 GPU

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Snowball Edge
Storage Optimized
Snowball Edge
Compute Optimized
• 24 vCPUs
• 32 GBs of memory
• 1 TB of instance storage
• 100TB object storage
• 52 vCPUs
• 208 GBs of memory
• 7.68 TB of instance storage
• Nvidia V100 GPU
• 42TB object store

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Snowball Edge
Storage Optimized
Instance type vCPUs Memory (GiB)
sbe1.small 1 1
sbe1.medium 1 2
sbe1.large 2 4
sbe1.xlarge 4 8
sbe1.2xlarge 8 16
sbe1.4xlarge 16 32
sbe1.6xlarge 24 32
Snowball Edge
Compute Optimized
Instance type vCPUs Memory (GiB) GPUs
sbe-c.small 1 2 0
sbe-c.medium 1 4 0
sbe-c.large 2 8 0
sbe-c.xlarge 4 16 0
sbe-c.2xlarge 8 32 0
sbe-c.4xlarge 16 64 0
sbe-c.8xlarge 32 128 0
sbe-c.12xlarge 48 192 0
sbe-g.small 1 2 1
sbe-g.medium 1 4 1
sbe-g.large 2 8 1
sbe-g.xlarge 4 16 1
sbe-g.2xlarge 8 32 1
sbe-g.4xlarge 16 64 1
sbe-g.8xlarge 32 128 1
sbe-g.12xlarge 48 192 1

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Who are our customers?

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14. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Frank Paterra
paterra@amazon.com
Vaibhav Tyagi
vaibhavt@amazon.com

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