AsRock 2U2G-GENOA 2U GPU Rack Server Barebone

Overview

The AsRock 2U2G-GENOA is a 2U rack-mount server barebone built around AMD's Genoa platform, configured to house GPU accelerators in a 2U chassis footprint — the model designation itself signals a 2U form factor with dual-GPU support. At 38.19 x 25.20 x 11.02 in (L x W x H) and 61.73 lb bare, this is a full-depth rack chassis intended for standard 19-inch server racks with adequate rail depth and airbrfow clearance in a data center or server room, not a shallow edge cabinet. The 2U2G-GENOA (often searched as 2U2G GENOA) ships as a barebone, meaning it is sold without CPU, memory, storage, or GPU installed — integrators configure it to the workload rather than buying a fixed configuration.

Key Features

• 2U Rack Height: fits standard 19-inch server racks without consuming 3U or 4U of valuable rack space — a meaningful density advantage when colocating multiple GPU nodes.
• Barebone Configuration: lets you match CPU, RAM, and storage to the exact workload (AI inference, video analytics processing, render farms) instead of paying for a fixed bundle you don't need.
• 61.73 lb Chassis Weight: confirms a full steel/aluminum server-grade chassis rather than a lightweight desktop enclosure — plan rack rail and lift capacity accordingly during installation.
• 38.19 in Depth: verify rack cabinet depth before ordering; full-depth GPU servers this size commonly require deep-format enterprise racks, not compact network cabinets.
• Taiwan Manufacturing Origin: country of origin is confirmed as Taiwan (TW), relevant for procurement teams tracking supply chain origin on federal or regulated bids.

Integration & Compatibility

As a barebone chassis, the 2U2G-GENOA integrates into existing rack infrastructure alongside network video recorders and other rack-mount compute for sites running GPU-accelerated video analytics or AI workloads. Pair it with a PoE switch where the deployment also needs camera-side power delivery, and review a VMS architecture guide when scoping how this server slots into a broader surveillance or analytics stack. For the full AsRock server lineup, compare barebone chassis options before committing to CPU and GPU selection.

Frequently Asked Questions

Q: Does the 2U2G-GENOA include CPU, RAM, or GPU?

A: No. The 2U2G-GENOA ships as a barebone chassis — CPU, memory, storage, and GPU accelerators are configured and installed separately based on the deployment's workload.

Q: What rack height does the 2U2G-GENOA require?

A: It is a 2U chassis designed for standard 19-inch server racks.

Q: How much does the 2U2G-GENOA weigh?

A: The bare chassis weighs 61.73 lb, confirm rack rail and lift capacity before installation.

Q: Where is the 2U2G-GENOA manufactured?

A: Country of origin is confirmed as Taiwan (TW).

Jerry Tildsen

The AsRock 2U2G-GENOA lands on my bench as a barebone, and the spec sheet I have to work with is limited to the physical shell — but that shell tells you a lot. At 38.19 x 25.20 x 11.02 in and 61.73 lb, this is a full-depth 2U chassis, not a compact edge box.

Technical Highlights:

• 2U Form Factor: standard 19-inch rack height keeps density high when you're stacking multiple GPU nodes in the same cabinet.
• 61.73 lb Bare Weight: confirms server-grade chassis construction before you even add CPU, GPU, or drives — budget for a heavier fully-loaded unit.
• 38.19 in Depth: this is a deep chassis; measure your rack before ordering, since some network-oriented cabinets won't clear it.

Deployment Considerations:

• Because the 2U2G-GENOA ships as a barebone, plan your CPU, memory, and GPU procurement as a separate line item — this quote covers the chassis and platform, not a turnkey server.
• Rack depth and weight are the two numbers that will bite you on install day if you haven't confirmed cabinet clearance and rail load rating in advance.

Reach for the 2U2G-GENOA when you're standing up a GPU-accelerated compute node for video analytics or AI inference in a data center rack and want to control component selection rather than take a fixed configuration.