Quotas for compute instances on a Snowball Edge device - AWS Snowball Edge Developer Guide
Compute resource storage quotas on Snowball EdgeShared compute resource limitations on Snowball Edge

Quotas for compute instances on a Snowball Edge device

The following are storage quotas and shared resource limitations for compute resources on an AWS Snowball Edge device.

Compute resource storage quotas on Snowball Edge

The storage available for compute resources is a separate resource from the dedicated Amazon S3 storage on a Snowball Edge device. The quotas for storage are as follows:

A Snowball Edge compute-optimized device can run up to 20 AMIs and 10 volumes per instance.

Instance type vCPU cores Memory (GiB) Supported device option
sbe1.small 1 1 storage optimized
sbe1.medium 1 2 storage optimized
sbe1.large 2 4 storage optimized
sbe1.xlarge 4 8 storage optimized
sbe1.2xlarge 8 16 storage optimized
sbe1.4xlarge 16 32 storage optimized
sbe1.6xlarge 24 32 storage optimized
sbe-c.small 1 2

compute optimized
sbe-c.medium 1 4

compute optimized
sbe-c.large 2 8

compute optimized
sbe-c.xlarge 4 16

compute optimized
sbe-c.2xlarge 8 32

compute optimized
sbe-c.4xlarge 16 64

compute optimized
sbe-c.8xlarge 32 128

compute optimized
sbe-c.12xlarge 48 192

compute optimized
sbe-c.16xlarge 64 256

compute optimized
sbe-c.24xlarge 96 384

compute optimized

Shared compute resource limitations on Snowball Edge

All services on a Snowball Edge device use some of the finite resources on the device. A Snowball Edge device with its available compute resources maximized can't launch new compute resources. For example, if you try to start the NFS interface while also running a sbe1.4xlarge compute instance on a storage optimized device, the NFS interface service doesn't start. The following outlines the available resources on the different device options as well as resource requirements for each service.

  • If no compute services are ACTIVE:

    • On a storage optimized option, you have 24 vCPUs and 32 GiB of memory for your compute instances.

    • On a compute optimized option, you have 104 vCPUs and 208 GiB of memory for your compute instances.

  • While AWS IoT Greengrass and AWS Lambda powered by AWS IoT Greengrass are ACTIVE:

    • On a storage optimized option, these services use 4 vCPU cores and 8 GiB of memory.

    • On a compute optimized option, these services use 1 vCPU core and 1 GiB of memory.

    • While the NFS interface is ACTIVE, it uses 8 vCPU cores and 16 GiB of memory on a Snowball Edge device.

    • While Amazon S3 compatible storage on Snowball Edge is ACTIVE on a Snowball Edge Compute Optimized with AMD EPYC Gen2 and NVME, for a single node with the minimum configuration of 3 TB of Amazon S3 compatible storage on Snowball Edge, it uses 8 vCPU cores and 16 GB of memory. For a single node with more than 3 TB of Amazon S3 compatible storage on Snowball Edge, it uses 20 vCPU cores and 40 GB of memory. For a cluster, it uses 20 vCPU cores and 40 GB of memory.

You can determine whether a service is ACTIVE on a Snowball Edge by using the command snowballEdge describe-service on the Snowball Edge client. For more information, see Vieiwing status of services running on Snowball Edge.