MVP-6100-MXM Series

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Value Family 9th Gen Intel® Xeon®/Core™ i7/i5/i3® Processor-Based Expandable GPU Workstation Platforms

Key Features

9th Gen Intel® Xeon®/Core™ i7/i5/i3 LGA processor
Dual SODIMMs sockets for up to 32GB DDR4 non-ECC/ECC
Abundant I/O: Up to 4x additional DP 1.4 from MXM, 2x DP++, DVI, VGA, 3x GbE, 3x COM, TPM2.0
2x USB 3.1 Gen 2, 1x USB 3.1 Gen 1, 3x USB 2.0
Rich storage options: up to 4x 2.5″ SATA, M.2 2280
Front accessible I/O and adaptive Function Module 2.0 options
Flexible functionality expansion: Expansion slots for standard PCIe and PCI card, Embedded slots for Mini PCIe, M.2 3042, 2x USIM
World leading embedded GP/GPU computing options built-in
DATA SHEET

Categories: Expandable Fanless Embedded PCs, Industrial PCs , Fanless pc, Value Family

Description

Ordering Information

MVP-612X-MXM-1E/M4G/[GPU] -:
Intel® Xeon® E-2278GE, 1 PCIe x4
MVP-612A-MXM-1E/M4G/[GPU] -:
Intel® Core™ i7-9700E, 1 PCIe x4
Intel® Core™ i7-9700E, 1 PCIe x4 -:
Intel® Core™ i7-9700TE, 1 PCIe x4
MVP-6122-MXM-1E/M4G/[GPU] -:
Intel® Core™ i5-9500TE, 1 PCIe x4
MVP-6123-MXM-1E/M4G/[GPU] -:
Intel® Core™ i3-9100TE, 1 PCIe x4
MVP-614X-MXM-2E/M4G/[GPU] -:
Intel® Xeon® E-2278GE, 2 PCIe x4, 1 PCI
MVP-614A-MXM-2E/M4G/[GPU] -:
Intel® Core™ i7-9700E, 2 PCIe x4, 1 PCI
MVP-6141-MXM-2E/M4G/[GPU] -:
Intel® Core™ i7-9700TE, 2 PCIe x4, 1 PCI
MVP-6142-MXM-2E/M4G/[GPU] -:
Intel® Core™ i5-9500TE, 2 PCIe x4, 1 PCI
MVP-6143-MXM-2E/M4G/[GPU] -:
Intel® Core™ i3-9100TE, 2 PCIe x4, 1 PCI
EGX-MXM-P1000 -:
NVIDIA® Quadro® Embedded P1000, 47W, 512 CUDA Cores, GDDR5 4GB
EGX-MXM-P2000 -:
NVIDIA® Quadro® Embedded P2000, 58W, 768 CUDA Cores, GDDR5 4GB
Accessory –
Storage -: Factory Installed 2.5″ SSD/HDD/M.2 Storage
Optional 2x 2.5” SATA Kit -: Includes cables and bracket
Wireless Mini PCIe/M.2 Module -: Wi-Fi/ BT/ 3G/ 4G LTE/ LoRa wireless kit (w/ antenna)
AC/DC Adapter -: 220W (P/N: 31-62149-0000)
280W (P/N: 31-62162-1010-A0)

GPUs Computing at the Edge

GPUs can boost the performance of a wide range of workloads, including image processing and analysis, compute acceleration, and artificial intelligence (AI). As requirements for responsiveness and accuracy become more demanding for edge systems, the combination of CPUs and GPUs is becoming more mainstream in order to deliver optimal efficiency in performance per watt and dollar.

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