Bedrock on the AI accelerator track
We run Amazon Bedrock on the AWS AI accelerator track. It is the layer we reach for when elasticity is the thing that wins the argument.
The stack · Layer 03, elastic
AWS Bedrock. When it has to scale.
The elastic layer is where cloud-scale models earn their place: the work whose volume moves rather than the work that belongs on our own iron. Peak season is a setting, not a rebuild.
What we run
//01
//02
//03
Bedrock when it has to scale. What that means in practice.
Peak season is a setting
Commerce volume is not flat across a year, and the elastic layer is how the stack absorbs that without a rebuild. The capacity changes; the operation does not.
A membership we publish
The AWS Partner Network plate sits in the memberships row at the foot of every page, alongside the registries and certifications that confirm the rest of the company.
Why it is in the stack
//01
//02
Layer 03. Elastic.
It keeps the on-prem layer honest
Because there is somewhere elastic to put the work whose volume moves, the hardware in Patras can stay dedicated to the work that should not leave the building.
Capacity is not a project
Adding capacity for a peak is a setting in this layer. That is the difference between an operation that scales and one that plans a migration every autumn.
Questions
What people ask. Answered plainly.
Is this the same as selling on Amazon?
No, and they are separate relationships. Amazon Web Services is the elastic layer of our AI stack. The Amazon marketplace is one of the 12 channels we sell on, and it has its own page.
What runs here rather than on your own hardware?
The work whose volume moves. The work that should never leave the building runs on the DGX in Patras, and we draw that boundary ourselves.
Amazon Web Services and Bedrock are trademarks of their owner. TPL S.A. is a member of the AWS Partner Network and neither owns them nor acts as their agent.