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Bringing the AMD Radeon AI PRO R9700 Online in OpenStack Flex

I'll be honest. When the AMD Radeon AI PRO R9700 first showed up on my radar, I wasn't sure what to make of it. It's not a traditional datacenter card and it's not a gaming card either. The R9700 is a 32 GB professional GPU that won't break the bank, and sits in a product category that didn't really exist eighteen months ago.

This week our team brought a pair of R9700 GPUs online in Rackspace OpenStack Flex; like any good story there was a bit of drama with servers, placement, shipping times, cables oddities, chassis crisis, and more; we had the making of a full feature length K-Drama with all the twists and turns. Once we got past the drama, parts were installed and powered on, the entire deployment took about ten minutes which is a testament to the power of Genestack's Kubernetes-native architecture and OpenStack's hardware-agnostic design.

Solving GPU Passthrough Memory Addressing in OpenStack

Delivering Accelerator enabled Developer Cloud Functionality on Rackspace OpenStack Flex.

When AMD launched the AMD Developer Cloud, we took notice. Here was a streamlined platform giving developers instant access to high-performance MI300X GPUs, complete with pre-configured containers, Jupyter environments, and pay-as-you-go pricing. The offering resonated with the AI/ML community because it eliminated friction: spin up a GPU instance, start training, destroy it when done.