Compute8x NVIDIA GPUs, 512 GB memoryCPUDual AMD EPYC CPUsStorage12 TB NVMe plus 180 TB HDDNetwork10 GB dual port
Configuration Choices
Processor
Select CPU capacity around GPU count, memory bandwidth, and scheduler needs.
Graphics Card
Choose accelerator count and memory class around training, inference, or simulation requirements.
Memory
Size ECC memory relative to GPU VRAM and host-side preprocessing.
Operating System
Choose the deployment image for AI frameworks, orchestration, or your own imaging process.
Primary SSD
Use fast local storage for the OS, models, checkpoints, and active datasets.
Additional SSD
Add a secondary storage tier when local datasets exceed the primary drive.
RAID Controller
Use a RAID controller only when redundancy or specific storage topology requires it.
Network
Plan fabric speed around shared storage, cluster scheduling, and east-west traffic.
Trusted Platform Module
Add hardware-backed platform security if your deployment policy requires it.
UPS System
Add rack power protection when the server will run outside an existing UPS-backed rack.
Warranty/Support
Choose the support window for the server lifecycle.
Why this configuration path
Starter cluster path for shared lab compute.Combines GPU nodes, storage, and network planning.Useful when a single workstation no longer fits the queue.