2U Edge AI GPU Server | VG-622G4
VINCANWO GROUP
| Availability: | |
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| Quantity: | |
Model | VG-622G4 | |
Processor System | CPU Technology | Intel® LGA4710 |
CPU Type | Dual Intel® Xeon 6 processors, TDP up to 350W | |
Memory Type | 4TB | |
Graphics | Controller | Aspeed AST2600 |
VRAM | 64 MB | |
Expansion Slots | Slot 1 | PCIe 5.0 x16 slot (from CPU0) |
Slot 2 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 3 | PCIe 5.0 x16 slot (from CPU1) | |
Slot 4 | PCIe 5.0 x16 slot (from CPU1) | |
Slot 5 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 6 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 7 | PCIe 5.0 x16 slot (from CPU1) | |
Drive Bay | 2.5" (Internal) | --- |
E1.S (Front) | 8 (PCIe 5.0) | |
M.2 (2280) | 2 (PCIe) | |
Ethernet | Interface | 2 x 10GbE |
Controller | Intel X710-AT2 (dual 10GbE port) | |
Front I/O Interface | USB | 1 (USB2.0) |
COM | 1 | |
Display | 1 x VGA | |
Rear I/O Interface | USB | 2 x USB3.2 Gen1 |
RJ-45 | 3 (1 x dedicated NIC for IPMI) | |
Internal Connector | USB 2.0 Pin Header | 1 (single port) |
COM | 1 | |
VGA | 1 | |
Watchdog Timer | Output | System reset |
Interva | Programmable, 1~255 sec/min | |
Power Supply | Power Output Wattage | 80+ platinum 3+1 power supply 6000 W @ 100-240 VAC |
Input Range | AC 100 ~ 240 V | |
Cooling | Chassis Fan | 6 x 60 x 56 mm high speed fans |
Dust Filter | --- | |
Miscellaneous | LED Indicators | Power status, LAN status, information LED |
Remote Management | Advantech Remote Monitoring Utility | |
Environment | Temperature | Operating Temperature 10°C ~ 60°C Non-Operating Temperature -40 ~ 70°C |
Humidity | Operating Temperature 95% @ 40°C Non-Operating Temperature 95% @ 60°C | |
Vibration (5 ~ 500 Hz) | Operating 0.3 Grms Non-Operating 1.88 Grms | |
Shock | Operating 10G (with 11ms duration, half since wave) Non-Operating Optional | |
Physical Characteristics | Dimensions (W x H x D) | 438 x 88 x 900 mm |
Package Dimensions (W x H x D) | --- | |
Weight (N.W. / G.W.) | 35 / - Kg | |
Installation | Rack mount | |
The VG-622G4 is a high-density, enterprise-grade 2U edge AI GPU server engineered for low-latency, real-time AI inference and high-performance computing (HPC) at the edge. Optimized for deployment in remote industrial sites, smart cities, and edge data centers, this server integrates powerful GPUs, robust processing capabilities, and flexible connectivity to deliver accelerated AI performance while minimizing bandwidth usage and latency. Designed for 24/7 operation in space-constrained and harsh environments, it is the ideal solution for edge AI applications requiring reliability, scalability, and energy efficiency
Edge AI Acceleration: Up to 4 high-performance GPUs deliver massive parallel computing power, enabling real-time AI inference for applications like computer vision (object detection, facial recognition), natural language processing (NLP), and predictive maintenance—all at the edge, reducing reliance on cloud connectivity.
High-Density 2U Design: Packing up to 4 double-width GPUs in a compact 2U form factor maximizes performance per rack unit, ideal for edge data centers and industrial sites with limited space.
Low-Latency Performance: Local AI processing eliminates cloud latency (typically <1ms inference time), critical for time-sensitive applications such as autonomous vehicles, industrial robotics, and emergency response systems.
Reliability for Edge Deployments: Redundant power supplies, hot-swap storage, and ruggedized components ensure 99.99% uptime in harsh edge environments (e.g., manufacturing plants, oil refineries, smart city infrastructure).
Scalability & Flexibility: Support for dual Xeon processors, 4TB RAM, and multiple GPU options allows easy scaling to meet growing AI workload demands; rich network connectivity enables seamless integration with edge sensors, cameras, and IoT devices.
Energy Efficiency: 80+ Titanium power supplies and intelligent thermal management reduce power consumption by up to 20% compared to conventional servers, lowering operational costs for 24/7 edge deployments.
Industrial AI & Automation: Predictive maintenance, quality control (visual inspection), robotics control, and factory IoT (IIoT) data processing.
Smart Cities & Transportation: Traffic flow optimization, license plate recognition, pedestrian detection, and public safety surveillance.
Healthcare & Medical: Remote patient monitoring, medical image analysis (X-rays, MRIs), and AI-assisted diagnostics at clinics and hospitals.
Retail & Logistics: Inventory management (barcode/QR code scanning), checkout automation, and supply chain optimization (predictive demand forecasting).
Telecommunications: 5G edge computing, network function virtualization (NFV), and AI-powered network traffic management.
Defense & Security: Surveillance analytics, threat detection, and mission-critical edge computing for military deployments.
GPU Configuration: Custom GPU models (e.g., low-power NVIDIA T4 for energy-constrained sites, high-performance H100 for heavy inference workloads) or GPU quantity adjustments.
Hardware: Expanded storage (e.g., 16× hot-swap bays), specialized network cards (100GbE/200GbE), or ruggedized enclosures for extreme temperatures.
Software: Pre-installed AI/ML frameworks, custom drivers, or edge-specific software (e.g., edge computing platforms, IoT device management tools).
Management: Remote monitoring tools (e.g., NVIDIA Fleet Command, Intel vPro), automated firmware updates, or custom alert systems.
Model | VG-622G4 | |
Processor System | CPU Technology | Intel® LGA4710 |
CPU Type | Dual Intel® Xeon 6 processors, TDP up to 350W | |
Memory Type | 4TB | |
Graphics | Controller | Aspeed AST2600 |
VRAM | 64 MB | |
Expansion Slots | Slot 1 | PCIe 5.0 x16 slot (from CPU0) |
Slot 2 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 3 | PCIe 5.0 x16 slot (from CPU1) | |
Slot 4 | PCIe 5.0 x16 slot (from CPU1) | |
Slot 5 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 6 | PCIe 5.0 x16 slot (from CPU0) | |
Slot 7 | PCIe 5.0 x16 slot (from CPU1) | |
Drive Bay | 2.5" (Internal) | --- |
E1.S (Front) | 8 (PCIe 5.0) | |
M.2 (2280) | 2 (PCIe) | |
Ethernet | Interface | 2 x 10GbE |
Controller | Intel X710-AT2 (dual 10GbE port) | |
Front I/O Interface | USB | 1 (USB2.0) |
COM | 1 | |
Display | 1 x VGA | |
Rear I/O Interface | USB | 2 x USB3.2 Gen1 |
RJ-45 | 3 (1 x dedicated NIC for IPMI) | |
Internal Connector | USB 2.0 Pin Header | 1 (single port) |
COM | 1 | |
VGA | 1 | |
Watchdog Timer | Output | System reset |
Interva | Programmable, 1~255 sec/min | |
Power Supply | Power Output Wattage | 80+ platinum 3+1 power supply 6000 W @ 100-240 VAC |
Input Range | AC 100 ~ 240 V | |
Cooling | Chassis Fan | 6 x 60 x 56 mm high speed fans |
Dust Filter | --- | |
Miscellaneous | LED Indicators | Power status, LAN status, information LED |
Remote Management | Advantech Remote Monitoring Utility | |
Environment | Temperature | Operating Temperature 10°C ~ 60°C Non-Operating Temperature -40 ~ 70°C |
Humidity | Operating Temperature 95% @ 40°C Non-Operating Temperature 95% @ 60°C | |
Vibration (5 ~ 500 Hz) | Operating 0.3 Grms Non-Operating 1.88 Grms | |
Shock | Operating 10G (with 11ms duration, half since wave) Non-Operating Optional | |
Physical Characteristics | Dimensions (W x H x D) | 438 x 88 x 900 mm |
Package Dimensions (W x H x D) | --- | |
Weight (N.W. / G.W.) | 35 / - Kg | |
Installation | Rack mount | |
The VG-622G4 is a high-density, enterprise-grade 2U edge AI GPU server engineered for low-latency, real-time AI inference and high-performance computing (HPC) at the edge. Optimized for deployment in remote industrial sites, smart cities, and edge data centers, this server integrates powerful GPUs, robust processing capabilities, and flexible connectivity to deliver accelerated AI performance while minimizing bandwidth usage and latency. Designed for 24/7 operation in space-constrained and harsh environments, it is the ideal solution for edge AI applications requiring reliability, scalability, and energy efficiency
Edge AI Acceleration: Up to 4 high-performance GPUs deliver massive parallel computing power, enabling real-time AI inference for applications like computer vision (object detection, facial recognition), natural language processing (NLP), and predictive maintenance—all at the edge, reducing reliance on cloud connectivity.
High-Density 2U Design: Packing up to 4 double-width GPUs in a compact 2U form factor maximizes performance per rack unit, ideal for edge data centers and industrial sites with limited space.
Low-Latency Performance: Local AI processing eliminates cloud latency (typically <1ms inference time), critical for time-sensitive applications such as autonomous vehicles, industrial robotics, and emergency response systems.
Reliability for Edge Deployments: Redundant power supplies, hot-swap storage, and ruggedized components ensure 99.99% uptime in harsh edge environments (e.g., manufacturing plants, oil refineries, smart city infrastructure).
Scalability & Flexibility: Support for dual Xeon processors, 4TB RAM, and multiple GPU options allows easy scaling to meet growing AI workload demands; rich network connectivity enables seamless integration with edge sensors, cameras, and IoT devices.
Energy Efficiency: 80+ Titanium power supplies and intelligent thermal management reduce power consumption by up to 20% compared to conventional servers, lowering operational costs for 24/7 edge deployments.
Industrial AI & Automation: Predictive maintenance, quality control (visual inspection), robotics control, and factory IoT (IIoT) data processing.
Smart Cities & Transportation: Traffic flow optimization, license plate recognition, pedestrian detection, and public safety surveillance.
Healthcare & Medical: Remote patient monitoring, medical image analysis (X-rays, MRIs), and AI-assisted diagnostics at clinics and hospitals.
Retail & Logistics: Inventory management (barcode/QR code scanning), checkout automation, and supply chain optimization (predictive demand forecasting).
Telecommunications: 5G edge computing, network function virtualization (NFV), and AI-powered network traffic management.
Defense & Security: Surveillance analytics, threat detection, and mission-critical edge computing for military deployments.
GPU Configuration: Custom GPU models (e.g., low-power NVIDIA T4 for energy-constrained sites, high-performance H100 for heavy inference workloads) or GPU quantity adjustments.
Hardware: Expanded storage (e.g., 16× hot-swap bays), specialized network cards (100GbE/200GbE), or ruggedized enclosures for extreme temperatures.
Software: Pre-installed AI/ML frameworks, custom drivers, or edge-specific software (e.g., edge computing platforms, IoT device management tools).
Management: Remote monitoring tools (e.g., NVIDIA Fleet Command, Intel vPro), automated firmware updates, or custom alert systems.