WEKApod: Maximum Capacity and Performance Density

They said one rack couldn't do this. It does.

Your GPUs are the most expensive thing in the building, and they are waiting: on storage, on data movement, on infrastructure that wasn't built for the way AI actually runs. The teams pulling ahead right now aren't the ones with more racks or more power. They're the ones getting more out of every rack unit, every watt, and every dollar they've already committed.

That's the problem WEKApod™ was built to solve.

One integrated stack, not a bundle of parts

Most storage systems bolt hardware, software, and networking together and hope they play nice. WEKApod is different: it's engineered from the chassis up as a single AI stack, with every layer tuned to work together. The result is capacity and performance density that a stitched-together system can't match.

What "more" actually looks like:

In one rack, WEKApod delivers:

• 1.1 exabytes of capacity
• 10.2 terabytes per second of throughput
• 210 million IOPS

That's more AI per rack, more GPUs actually earning their keep, and more inference running inside the power budget you already have, no rebuild required.

Deploy. Run. Done.

WEKApod gives you more processing power and more context memory, in one rack, without asking you to find more space, more power, or more time you don't have.