Dell VEP4600 Edge Computing Platform

Specifications

Design
Design Dell VEP4600 Edge Computing Platform
Chassis type
Rack-mounted
Rack capacity
1U
Product colour
Black, Grey
Performance
Performance Dell VEP4600 Edge Computing Platform
Processor manufacturer
Intel
Processor family
Intel® Xeon® D
Processor cores
16
57% better than others
Internal memory
32 GB
51% better than others
Maximum internal memory
128 GB
94% better than others
Storage drive capacity
240 GB
35% better than others
Storage media
SSD
SSD form factor
M.2
Maximum storage capacity
1.92 TB
42% better than others
Network
Network Dell VEP4600 Edge Computing Platform
Wi-Fi
No
18% do not have it
Ethernet LAN interface type
10 Gigabit Ethernet
Ethernet LAN data rates
10,100,1000 Mbit/s
Copper ethernet cabling technology
10BASE-T, 100BASE-T, 1000BASE-T
Management protocols
SNMPv3
Ports & interfaces
Ports & interfaces Dell VEP4600 Edge Computing Platform
Ethernet LAN (RJ-45) ports
6
10G Ethernet ports quantity
2
IPMI LAN (RJ-45) port
Yes
73% have it
SFP+ module slots quantity
2
USB 3.2 Gen 1 (3.1 Gen 1) Type-A ports quantity
2
Power
Power Dell VEP4600 Edge Computing Platform
AC input voltage
100 - 240 V
AC input frequency
50 - 60 Hz
Redundant power supply (RPS) support
Yes
65% have it
Number of redundant power supplies supported
2
Operational conditions
Operational conditions Dell VEP4600 Edge Computing Platform
Operating temperature (T-T)
0 - 45 °C
Storage temperature (T-T)
-40 - 70 °C
Operating relative humidity (H-H)
5 - 85%
Storage relative humidity (H-H)
5 - 90%
Weight & dimensions
Weight & dimensions Dell VEP4600 Edge Computing Platform
Width
434 mm
75% better than others
Depth
381 mm
16% better than others
Height
43.7 mm
79% better than others
Disclaimer: Information on this page may need review. If you notice any discrepancies, please report them
Nolan Brooks
Reviewed by
Nolan Brooks Storage Systems Analyst & Network Engineer Versus Wizard

The Dell VEP4600 represents a robust entry into the specialized field of edge computing platforms, designed for deployment in environments demanding high reliability and performance. This compact yet powerful system is engineered to process data closer to its source, reducing latency and enabling real-time analytics and control for critical applications. Its architecture is optimized for industrial IoT, retail analytics, and telecommunications infrastructure, where efficient data handling at the edge is paramount.

Leveraging a fanless design for enhanced durability and quiet operation, the VEP4600 is well-suited for challenging operational settings. The platform's core capabilities are bolstered by its support for a range of Intel processors, allowing for scalable performance tailored to specific workload requirements. Connectivity is a key strength, featuring multiple Ethernet ports for network segmentation and integration, alongside USB and serial interfaces for peripheral and legacy device support. This versatility ensures the VEP4600 can serve as a central hub for diverse edge deployments, facilitating data aggregation, pre-processing, and secure transmission to cloud or data center environments.

Pros & Cons

Pros
What we love about this product
    • Compact and Fanless Design: Ideal for rugged, space-constrained, or noise-sensitive environments, enhancing reliability through reduced moving parts.
    • Scalable Intel Processing: Offers flexibility to choose processors that match specific performance needs, from general-purpose tasks to demanding AI inference at the edge.
    • Extensive Connectivity Options: Multiple Gigabit Ethernet ports, serial ports, and USB interfaces provide broad compatibility for diverse edge devices and network setups.
    • Designed for Edge Workloads: Optimized for real-time data processing, analytics, and control, directly addressing the requirements of IoT and industrial applications.
Cons
Points to consider before buying
    • Limited Integrated Graphics: While suitable for edge management, onboard graphics may not be sufficient for visually intensive edge AI inference tasks without a dedicated GPU.
    • Potentially High Cost for Customization: Specific configurations and processor choices might lead to a significant investment, especially for smaller-scale deployments.
    • No Integrated Wireless Options: Requires external modules for Wi-Fi or cellular connectivity, adding to complexity and potential points of failure.

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