Specifications

Portfolio

Supermicro AI-at-the-Edge systems

Announced

23 June 2026

CPU Options

Intel Core Ultra Series 3, Intel Core Series 2

GPU Options

Intel Arc Pro B-series professional GPUs

Form Factors

Compact fanless systems, short-depth 1U rackmount servers, mini tower

Design Goal

Cost-optimised low-latency AI inferencing

Target Verticals

Retail, manufacturing, physical security, transportation, logistics

Deployment Class

Edge / industrial, space-constrained environments

Platform Base

Supermicro Data Center Building Block Solutions (DCBBS)

Software

Intel AI acceleration stack with Core Ultra integrated NPU

Management

Out-of-band BMC management on rackmount models

Overview

Supermicro expanded its AI-at-the-Edge portfolio in June 2026 with systems powered by Intel Core Ultra Series 3 and Intel Core Series 2 processors, alongside support for Intel Arc Pro B-series professional discrete GPUs. The range deliberately spans three physical classes: compact fanless systems for industrial cabinets, short-depth 1U rackmount servers for space-constrained racks, and a mini tower for office environments.

The design point is cost-optimised low-latency inference rather than peak throughput. Core Ultra Series 3 adds an integrated NPU, so light inference can run on the CPU package without a discrete card, while Arc Pro B-series GPUs provide a step up in visual-computing and inference throughput where the workload demands it.

Because the same portfolio runs from fanless to 1U, an integrator can standardise on one Intel platform generation and scale the chassis to the site — the pattern Supermicro positions for retail, manufacturing, physical-security, transportation and logistics deployments.

Key Benefits

Core Ultra Series 3 with integrated NPU, Arc Pro B-series GPU options, three form factors from fanless to short-depth 1U, and cost-optimised low-latency inference for distributed sites.

Applications

Retail analytics, factory-floor inference, physical-security video analytics, transportation and logistics edge AI, and distributed office inference.

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