Coming Soon – Snowball Edge with More Compute Power and a GPU
I never get tired of seeing customer-driven innovation in action! When AWS customers told us that they needed an easy way to move petabytes of data in and out of AWS, we responded with the
Great progress, but we are not done yet!
More Compute Power and a GPU
I’m happy to tell you that we are getting ready to give you two new Snowball Edge options: Snowball Edge Compute Optimized and Snowball Edge Compute Optimized with GPU (the original Snowball Edge is now called Snowball Edge Storage Optimized). Both options include 42 TB of S3-compatible storage and 7.68 TB of NVMe SSD storage, and allow you to run any combination of instances that consume up to 52 vCPUs and 208 GiB of memory. The additional processing power gives you the ability to do even more types of processing at the edge.
Here are the specs for the instances:
Instance Name | vCPUs | Memory |
sbe-c.small / sbe-g.small |
1 | 2 GiB |
sbe-c.medium / sbe-g.medium |
1 | 4 GiB |
sbe-c.large / sbe-g.large |
2 | 8 GiB |
sbe-c.xlarge / sbe-g.xlarge |
4 | 16 GiB |
sbe-c.2xlarge / sbe-g.2xlarge |
8 | 32 GiB |
sbe-c.4xlarge / sbe-g.4xlarge |
16 | 64 GiB |
sbe-c.8xlarge / sbe-g.8xlarge |
32 | 128 GiB |
sbe-c.12xlarge / sbe-g.12xlarge |
48 | 192 GiB |
The Snowball Edge Compute Optimized with GPU includes an on-board GPU that you can use to do real-time full-motion video analysis & processing, machine learning inferencing, and other highly parallel compute-intensive work. You can launch an sbe-g instance to gain access to the GPU.
You will be able to select the option you need using the console, as always:
The Compute Optimized device is just a tad bigger than the Storage Optimized Device. Here they are, sitting side-by-side on an Amazon door desk:
Stay Tuned
I’ll have more information to share soon, so stay tuned!
— Jeff;