โšก Zeus

The compute engine behind your intelligence. When Praxis thinks, Zeus is doing the lifting.

What is Zeus?

Zeus is the GPU-driven node in the Praxis ecosystem โ€” a modular, scalable unit designed to handle all real-time inference, on-device model execution, and in some cases, lightweight training or finetuning.

It's not just for neural nets. Zeus can power symbolic AI chains, image generation, video compression, synthetic simulation, and any other workload that demands serious parallel horsepower.

Key Functions

๐Ÿš€ Edge Compute, Central Power

Zeus can sit on a workbench, inside a datacenter, or on the field. All it needs is a PCIe lane and a power source.

๐Ÿ“ฆ Container-Ready

Comes preconfigured with Docker or Podman support for isolated workloads, API-based deployment, and auto-scaling.

๐Ÿ”— Orchestrated by Athena

Athena manages model selection, fallback conditions, and execution time tracking โ€” you donโ€™t babysit jobs anymore.

๐Ÿงฉ Plug & Train

Attach Zeus to any Praxis Core, and itโ€™ll automatically register its available resources to the Pantheon interface.

Hardware Profile

Zeus runs best on high-core CPUs with dual or quad-GPU setups. Praxis doesnโ€™t require vendor lock โ€” build it with whatever youโ€™ve got:

If Hermes is the memory and Alexandria the archive, Zeus is the execution core.

Deploy a Zeus Node

Zeus lets you run advanced AI workloads without relying on the cloud. Itโ€™s your own datacenter โ€” in a single rack.

Ideal for:

Join the Waitlist