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.
Storage Quotas
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:
-
Storage quotas for the Snowball Edge Storage Optimized option – The total available storage for Amazon S3 is between 60 TB and 80 TB depending on whether you're using compute instances on the device. If you are using compute instances, then total available dedicated storage for
sbe1compute instances for the Snowball Edge Storage Optimized option is 1,000 GB. -
Storage quotas for the Snowball Edge Compute Optimized and with GPU options – The total available dedicated storage for
sbe-candsbe-ginstances is 7.68 TB. The total available storage remaining is 42 TB.
The following tables outline the available compute resources for Snowball Edge devices.
| Feature | Limitation |
|---|---|
| Number of AMIs on a single Snowball Edge Storage Optimized option | 10 |
| Number of AMIs on a single Snowball Edge Compute Optimized option | 20 |
| Number of AMIs on a single Snowball Edge Compute Optimized with GPU option | 20 |
| Number of volumes per instance | 10 |
| Concurrently running (or stopped) instances | Varies depending on available resources |
| Instance type | vCPU cores | Memory (GiB) | GPUs | Supported device option |
|---|---|---|---|---|
sbe1.small |
1 | 1 | 0 | storage optimized |
sbe1.medium |
1 | 2 | 0 | storage optimized |
sbe1.large |
2 | 4 | 0 | storage optimized |
sbe1.xlarge |
4 | 8 | 0 | storage optimized |
sbe1.2xlarge |
8 | 16 | 0 | storage optimized |
sbe1.4xlarge |
16 | 32 | 0 | storage optimized |
sbe1.6xlarge |
24 | 32 | 0 | storage optimized |
sbe-c.small |
1 | 2 | 0 |
compute optimized |
sbe-c.medium |
1 | 4 | 0 |
compute optimized |
sbe-c.large |
2 | 8 | 0 |
compute optimized |
sbe-c.xlarge |
4 | 16 | 0 |
compute optimized |
sbe-c.2xlarge |
8 | 32 | 0 |
compute optimized |
sbe-c.4xlarge |
16 | 64 | 0 |
compute optimized |
sbe-c.8xlarge |
32 | 128 | 0 |
compute optimized |
sbe-c.12xlarge |
48 | 192 | 0 |
compute optimized |
sbe-c.16xlarge |
64 | 256 | 0 |
compute optimized |
sbe-c.24xlarge |
96 | 384 | 0 |
compute optimized |
sbe-g.small |
1 | 2 | 1 | with GPU |
sbe-g.medium |
1 | 4 | 1 | with GPU |
sbe-g.large |
2 | 8 | 1 | with GPU |
sbe-g.xlarge |
4 | 16 | 1 | with GPU |
sbe-g.2xlarge |
8 | 32 | 1 | with GPU |
sbe-g.4xlarge |
16 | 64 | 1 | with GPU |
sbe-g.8xlarge |
32 | 128 | 1 | with GPU |
sbe-g.12xlarge |
48 | 192 | 1 | with GPU |
Shared Compute Resource Limitations
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 52 vCPUs and 208 GiB of memory for your compute instances. This is also true for the with GPU option.
-
-
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. This is also true for the GPU option.
-
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 Snow Family devices 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 Snow Family devices, 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 Snow Family devices, it uses 20 vCPU cores and 40 GB of memory. For a cluster, it uses 20 vCPU cores and 40 GB of memory.
On a Snowball Edge Compute Optimized with AMD EPYC Gen1, HDD, and optional GPU, for a single node it uses 8 vCPU cores and 16 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 Getting Service Status.
