Step 1 of 7

CPU configuration. Choose your compute foundation.

Scale CPU core and thread capacity for local AI services, orchestration, concurrent workloads, and higher-throughput system processing.

Step 2 of 7

ECC memory. Build for sustained AI workloads.

128GB ECC is the required baseline, with scalable memory options up to 2048GB ECC for larger models, multi-GPU workloads, and concurrent AI services.

Step 3 of 7

GPU configuration. Scale local AI across up to four cards.

Scale GPU capacity to accelerate larger models, higher-throughput inference, multimodal workloads, and concurrent AI services.

GPU 1 · Required

GPU 2 · Optional

GPU 3 · Optional

GPU 4 · Optional

Step 4 of 7

SSD storage. Choose your system drive and optional expansion.

Expand high-speed SSD capacity for faster model loading, vector search, scratch workloads, and sustained data-intensive AI workflows.

System SSD

SSD 2 · Optional drive

SSD 3 · Optional drive

Step 5 of 7

HDD storage. Keep your data close.

High-endurance HDDs for sustained workloads, long service life, and protected RAID5 or RAID10 capacity. RAID storage pools are built once at deployment and cannot be upgraded or changed later.

Step 6 of 7

Power. Match the PSU to your GPU configuration.

1600W Platinum and 3000W Platinum are both available until GPU 4 is unlocked. Once GPU 4 is unlocked, 3000W Platinum is required and 1600W becomes unavailable.

Step 7 of 7

Networking. Move data without waiting.

Dual 10GbE is standard. Upgrade to Dual 25GbE, Dual 100GbE, or Dual 400GbE for higher-bandwidth AI data workflows.