Local Compute and Storage Only these jobs involve one Snowball Edge device, or multiple devices used in a cluster.It can undertake local processing and edge-computing workloads in addition to transferring data between your local environment and the AWS Cloud.Has on-board S3-compatible storage and compute to support running Lambda functions and EC2 instances.Options for device configurations Storage optimized this option has the most storage capacity at up to 80 TB of useable storage space, 24 vCPUs, and 32 GiB of memory for compute functionality.
You can transfer up to 100 TB with a single Snowball Edge Storage Optimized device. Compute optimized this option has the most compute functionality with 52 vCPUs, 208 GiB of memory, and 7.68 TB of dedicated NVMe SSD storage for instances. ![]() Compute Optimized with GPU identical to the compute optimized option, save for an installed GPU, equivalent to the one available in the P3 Amazon EC2 instance type. Encryption is enforced, protecting your data at rest and in physical transit. You can import or export data between your local environments and S3. Snowball Edge devices come with an on-board LCD display that can be used to manage network connections and get service status information. You can cluster Snowball Edge devices for local storage and compute jobs to achieve 99.999 percent data durability across 510 devices, and to locally grow and shrink storage on demand. You can use the file interface to read and write data to a Snowball Edge device through a file share or Network File System (NFS) mount point. You can write Python-language Lambda functions and associate them with S3 buckets when you create a Snowball Edge device job. Each function triggers whenever theres a local S3 PUT object action executed on the associated bucket on the appliance. ![]() Customers who need to run Amazon EC2 workloads on AWS Snowball Edge devices can attach multiple persistent block storage volumes to their Amazon EC2 instances. For latency-sensitive applications such as machine learning, you can deploy a performance-optimized SSD volume (sbp1). Performance optimized volumes on the Snowball Edge Compute Optimized device use NVMe SSD, and on the Snowball Edge Storage Optimized device they use SATA SSD. ![]() Snowball vs Snowball Edge (View AWS Migration CheatSheet: Snowball: Snowball vs Snowball Edge section) Job Types Import To S3 transfer of 80 TB or less of your local data copied onto a single device, and then moved into S3. Snowball Edge devices and jobs have a one-to-one relationship. If you need to import more data, you can create new import jobs or clone existing ones. Export From S3 transfer of any amount of data located in S3, copied onto any number of Snowball Edge devices, and then move one Snowball Edge device at a time into your on-premises data destination. Each job part is no more than 100 TB in size, and each job part has exactly one Snowball Edge device associated with it.
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