Specifications
Vendor
Supermicro
Model
SYS-111AD-WN2R
Form Factor
1U rackmount, short depth
CPU
Single LGA-1700 Intel Core i9/i7/i5/i3
CPU Generations
12th / 13th / 14th Gen Intel Core
Max CPU TDP
80W with air cooling
GPU Support
Up to 1 double-width PCIe GPU
Memory
4 DIMM slots, DDR5-4400MHz
Max Memory
Up to 128GB
Storage
4x SATA + 2x NVMe
Networking
2x 2.5Gb/s RJ45
Use Case
Edge AI inference, retail, healthcare, industrial
Fabric / Remote
IoT SuperServer with out-of-band management
Thermal
Air cooling, short-depth chassis
Deployment
Space-constrained edge racks and telco cabinets
Related
SYS-111AD-WRN2 (Series 2 Core variant)
Overview
The Supermicro SYS-111AD-WN2R is a short-depth 1U server built for edge deployments where a standard 1U chassis is too deep for the available cabinet. It accepts a single LGA-1700 Intel Core processor from the 12th, 13th or 14th generation — i9, i7, i5 or i3 — up to 80W TDP with air cooling, and holds up to four DDR5-4400 DIMMs for 128GB of memory.
The practical reason this platform exists is its GPU slot. Despite the short chassis, the system supports one double-width PCIe GPU. That combination — a compact Core-class CPU platform with a single high-performance accelerator — is the pattern that fits most edge AI inference workloads, where a full 8-GPU data-centre node is both unnecessary and physically impossible to install.
Storage is provisioned with four SATA bays plus two NVMe drives, and networking comes from two 2.5-gigabit RJ45 ports, which is sufficient for camera streams, sensor aggregation or a segmented management network. Because it is part of Supermicro's IoT SuperServer line it carries out-of-band management, so it can be administered in an unattended retail, clinical or industrial location.
QS Compute supplies Supermicro compact and edge server platforms, along with the GPUs, memory and NVMe storage to populate them. Contact us for a configured quote.
Key Benefits
Short-depth 1U fits edge racks and telco cabinets where standard servers will not. One double-width GPU in a compact chassis — enough acceleration for most edge inference. Up to 128GB DDR5-4400 on four DIMMs. 4x SATA + 2x NVMe for local data retention plus fast scratch storage.
Applications
Edge AI inference nodes, retail analytics and loss prevention, clinical imaging at the point of care, industrial machine vision, and space-constrained telco cabinet deployments.
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