Configure Your Local AI Infrastructure

Step 1 of 9

CPU. Establish the compute foundation.

Choose the core and thread capacity for local AI services, orchestration, and concurrent workloads.

Step 2 of 9

Memory. Add working headroom.

Choose ECC memory capacity for local AI services, containers, and concurrent workloads.

Step 3 of 9

GPU. Scale your local AI acceleration.

Choose GPU 1, then add optional GPUs in order. Max-Q and WS are separate options.

GPU 1

GPU 2 · Optional

GPU 3 · Optional

GPU 4 · Optional

Step 4 of 9

SSD storage. Choose your system and optional drives.

Choose NVMe capacity and PCIe generation. Add up to three optional drives in order.

System SSD This is the primary system drive and can’t be upgraded later.

System SSD

SSD 2 · Optional drive

SSD 3 · Optional drive

SSD 4 · Optional drive

Step 5 of 9

SATA storage. Choose capacity and drive count.

Choose a SATA SSD or SATA drive capacity. Selecting a capacity starts at one drive; use − / + to adjust the quantity from 0–8.

SATA drive quantity None Choose a capacity, or adjust quantity while using None.
0

Step 6 of 9

Power. Match your GPU configuration.

1600W and Server PSU support up to two GPUs. Three or more GPUs require 3000W.

Step 7 of 9

Network card. Choose your uplink.

Choose a 100GbE or 400GbE network card, or select None.

Step 8 of 9

Warranty and upgrade service.

Choose your warranty and upgrade coverage.

Step 9 of 9

Agentic AI training. Choose coverage and agent count.

Add dedicated training for AI agents (CA$120 per agent). Selecting a training starts at one agent; use − / + to adjust the quantity from 0–5.

Trained agent quantity None Choose a training option, or adjust quantity while using None.
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Included platform

Powered by ZimaOS+

The TeraNAS runs Zima OS+ to unify local AI services, private data access, model deployment, storage management, containerized applications, and intelligent workflows in one streamlined platform built for secure, responsive everyday operation.

ZimaOS+ Integrated operating foundation for local AI, storage services, applications, and workflow orchestration.
Included

Final configuration

TeraNAS Ultra

Ready to export

Configuration sheet

Product
TeraNAS Ultra
CPU
Not selected
Memory
Not selected
GPU 1
Not selected
GPU 2
Not selected
GPU 3
Not selected
GPU 4
Not selected
System SSD
Not selected
SSD 2
Not selected
SSD 3
Not selected
SSD 4
Not selected
SATA storage
Not selected
Power
Not selected
Network card
Not selected
Warranty
Not selected
Agentic AI training
Not selected
Product Total
CA$28,999

CAD · Before tax · Updates with your selected configuration.

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Your selection requires a change to your configuration.

1600W and Server PSU support up to two GPUs. Configurations with three or more GPUs require a 3000W power supply.

Current

3000W

Your selection

Up to 2 GPUs. Reduce your GPU count to use this power supply.