MCMQ12/13
12th and 13th Gen Intel Core compact desktop series
MCMQ12/13 is a compact Intel Core platform covering 12th and 13th Gen U, P, H, and HK processor options with USB4, dual HDMI, DDR4 memory, and dual M.2 storage.
MCMQ12/13 da vicino
Diverse viste del prodotto evidenziano il design dell'involucro, la disposizione delle interfacce e i dettagli di installazione.
MCMQ12/13 enclosure and interface view
MCMQ12/13 product view 2
Dettagli di configurazione industriale
Configurazioni hardware disponibili
- Model
- MCMQ12/13
- CPU
- 12th / 13th Gen Intel Core U, P, H, and HK options
- Chipset
- Intel Alder Lake platform
- Graphics
- Intel Iris Xe Graphics eligible
- Video
- 2 x HDMI 2.1 and USB4 Type-C, supporting 4K at 60Hz
- Memory
- 2 x DDR4 SO-DIMM at 3200MHz, up to 64GB or 96GB by configuration
- USB
- 5 x USB 3.2 and 1 x USB4 Type-C
- Power
- 19V / 3.78A adapter, 100-240V AC input
- Network
- 1 x 2.5GbE RJ45
- Storage
- M.2 NVMe 2280 and M.2 NVMe 2242, up to 2TB
- Expansion
- M.2 E-Key Wi-Fi and Bluetooth 5.2; TPM 2.0 integrated in CPU
- Front I/O
- 1 x power button; 1 x 3.5 mm audio jack; 1 x USB4 Type-C; 1 x USB 3.2
- Rear I/O
- 1 x DC input; 2 x HDMI 2.1; 4 x USB 3.2; 1 x 2.5GbE RJ45
- Dimensions
- 113 x 113 mm
- BIOS
- Resume by alarm, UEFI diskless boot, automatic power-on
- System
- Windows 11 / Linux
- Working Environment
- 0°C to 45°C operating; -20°C to 70°C storage; 5% to 95% RH
Pronto per quadri di controllo, gateway edge e calcolo a bordo macchina
MCMQ12/13 is a compact Intel Core platform covering 12th and 13th Gen U, P, H, and HK processor options with USB4, dual HDMI, DDR4 memory, and dual M.2 storage.
Flexible Compute Platforms
The desktop range spans efficient Intel N-series systems, Intel Core platforms, and AMD Ryzen performance configurations.
Display & Peripheral Connectivity
Model-specific HDMI, DisplayPort, Type-C, USB4, Thunderbolt, and OCuLink options support varied commercial workspaces.
Configurable Memory & Storage
Choose memory capacity, NVMe, SATA, wireless, and network options according to the target workload and deployment.
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