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21.5” High Performance GPU Panel PC | GFACE4L-215
VINCANWO GROUP
| Availability: | |
|---|---|
| Quantity: | |
Model | GFACE4L-215 | |
Primary Components | Processor Family | Intel Core I series 14th Generation Raptor Lake |
Processor Model | Core i5-14400 | |
Processor Speed | 4x Efficient Cores up to 3.5GHz, up to 4.7 GHz, 6x Performance Cores @ 2.5 GHz, up to 4.7 GHz Turbo | |
Memory Type | 2x DDR5 SO-DIMM | |
Memory Support | 4GB, 8GB, 16GB, 32GB, 64GB, 96GB | |
Storage Type | 1x M.2 2242/2280 NVME SSD Slot, 1x M.2 2242 SATA/NVMe SSD Slot | |
Storage Support | M.2: 128GB-1TB | |
Display | Screen Size | 21.5 |
Resolution | 1920 x 1080 (Full HD) | |
Screen Ratio | 16:9 | |
Brightness | 250 nits | |
Touch Screen | Touch Screen | Projected Capacitive (Multi-touch), Resistive |
Hardness | Resistive: 3H, P-cap: 7H | |
External I/O Ports | USB | 1x front USB, 4x rear USB |
Serial / Com | 3x COM | |
Serial Protocol Detail | COM1 & COM2 - RS-232/422/485, COM3 - RS-232 | |
Ethernet / LAN | 1x RJ45 2.5 GbE LAN, 3x RJ45 GbE LAN | |
Core Specifications
CPU
Processor:
Intel Core i9/i7/i5 or higher (e.g., 12th, 13th, or 14th Gen), or Intel Xeon for server-grade applications.
Architecture:
Look for hybrid architectures with high-performance cores (P-cores) and efficient cores (E-cores) to maximize multitasking and performance.
GPU
GPU:
NVIDIA GeForce RTX 40 series or AMD Radeon RX 6000/7000 series or higher are top-tier options.
VRAM:
At least 12GB of VRAM is recommended for high resolutions and demanding applications. For professional workloads, consider GPUs with 96GB of memory or more, like the NVIDIA RTX Pro 6000.
Technology:
Support for technologies like NVIDIA G-SYNC, AMD FreeSync, and ray tracing hardware is beneficial.
Memory and Storage
RAM:
A minimum of 16GB of DDR5 RAM is recommended. 32GB is better for heavy multitasking, streaming, or future-proofing.
Storage:
High-speed SSDs are essential for fast boot times and application loading. NVMe drives offer superior performance.
Connectivity and Expansion
I/O:
Look for a variety of high-speed ports like 2.5GbE or 10GbE LAN, USB 3.2, and display outputs like DisplayPort and HDMI.
Expansion:
Multiple PCIe slots are important for adding expansion cards like network interface cards (NICs) or high-bandwidth fabric cards.
Cooling and Durability
Cooling:
Efficient cooling is critical for sustained performance. Look for systems with mechanical structures, heat pipes, and/or isolated external smart fan kits.
Durability:
Industrial or ruggedized versions often feature a durable chassis and compliance with military standards like MIL-STD-810H for shock resistance.
Other Features
Management:
IT management software and hardware-level security features are beneficial for professional and enterprise deployments.
Modularity:
Consider systems that support toolless designs for easier maintenance and upgrades.
Key slimness engineering innovations
Advanced cooling systems:
Liquid-assisted air cooling: Systems like Lenovo's Neptune® Air combine liquid-based cooling with traditional air cooling, enabling a compact design without sacrificing performance.
Integrated heatsinks and fans: Specialized thermal designs with integrated external fans are used to manage heat from powerful CPUs and GPUs in smaller chassis, ensuring stable operation.
Compact and specialized components:
Low-profile GPUs: The use of low-profile GPU modules, such as NVIDIA MXM Type A and Type B cards, allows for a significant reduction in overall system height.
Modular design: Modular designs, like Cincoze's CDS (Convertible Display System), enable a slim form factor by separating the display from the computing module, offering flexibility while maintaining a low profile.
Efficient processors: Modern processors with low TDP (Thermal Design Power) like the Intel® Core™ Ultra series, which offer high performance with a low-power 15W TDP, are key to reducing both heat and bulk.
Optimized internal structure:
Dense component layout: Engineers arrange components tightly to minimize internal space, a technique that requires careful design to ensure adequate airflow and prevent hotspots.
Integration of functions: Integrating functions like wireless communication (5G/Wi-Fi) directly onto the motherboard or in compact M.2 slots reduces the need for extra expansion cards and enclosures.
Specialized chassis: Rugged, slim, and durable chassis made from materials like stainless steel are designed for both a compact size and protection in harsh environments.
GPUs enhance edge AI performance
Parallel Processing:
Unlike traditional CPUs that handle tasks sequentially, GPUs can perform massive parallel computations simultaneously, which is ideal for the intensive calculations needed for machine learning inference and computer vision.
Reduced Latency:
By processing data locally at the "edge" where it is generated (e.g., from cameras and sensors), GPUs eliminate the need for data to be sent to the cloud for processing, resulting in near-instantaneous insights and faster decision-making.
Bandwidth and Cost Savings:
Processing data on-site reduces the amount of data that needs to be transmitted to the cloud, which saves on bandwidth costs and network congestion.
Data Privacy and Security:
Processing sensitive data locally on the device can help maintain data privacy and security, as the data does not need to leave the premises for analysis.
Model | GFACE4L-215 | |
Primary Components | Processor Family | Intel Core I series 14th Generation Raptor Lake |
Processor Model | Core i5-14400 | |
Processor Speed | 4x Efficient Cores up to 3.5GHz, up to 4.7 GHz, 6x Performance Cores @ 2.5 GHz, up to 4.7 GHz Turbo | |
Memory Type | 2x DDR5 SO-DIMM | |
Memory Support | 4GB, 8GB, 16GB, 32GB, 64GB, 96GB | |
Storage Type | 1x M.2 2242/2280 NVME SSD Slot, 1x M.2 2242 SATA/NVMe SSD Slot | |
Storage Support | M.2: 128GB-1TB | |
Display | Screen Size | 21.5 |
Resolution | 1920 x 1080 (Full HD) | |
Screen Ratio | 16:9 | |
Brightness | 250 nits | |
Touch Screen | Touch Screen | Projected Capacitive (Multi-touch), Resistive |
Hardness | Resistive: 3H, P-cap: 7H | |
External I/O Ports | USB | 1x front USB, 4x rear USB |
Serial / Com | 3x COM | |
Serial Protocol Detail | COM1 & COM2 - RS-232/422/485, COM3 - RS-232 | |
Ethernet / LAN | 1x RJ45 2.5 GbE LAN, 3x RJ45 GbE LAN | |
Core Specifications
CPU
Processor:
Intel Core i9/i7/i5 or higher (e.g., 12th, 13th, or 14th Gen), or Intel Xeon for server-grade applications.
Architecture:
Look for hybrid architectures with high-performance cores (P-cores) and efficient cores (E-cores) to maximize multitasking and performance.
GPU
GPU:
NVIDIA GeForce RTX 40 series or AMD Radeon RX 6000/7000 series or higher are top-tier options.
VRAM:
At least 12GB of VRAM is recommended for high resolutions and demanding applications. For professional workloads, consider GPUs with 96GB of memory or more, like the NVIDIA RTX Pro 6000.
Technology:
Support for technologies like NVIDIA G-SYNC, AMD FreeSync, and ray tracing hardware is beneficial.
Memory and Storage
RAM:
A minimum of 16GB of DDR5 RAM is recommended. 32GB is better for heavy multitasking, streaming, or future-proofing.
Storage:
High-speed SSDs are essential for fast boot times and application loading. NVMe drives offer superior performance.
Connectivity and Expansion
I/O:
Look for a variety of high-speed ports like 2.5GbE or 10GbE LAN, USB 3.2, and display outputs like DisplayPort and HDMI.
Expansion:
Multiple PCIe slots are important for adding expansion cards like network interface cards (NICs) or high-bandwidth fabric cards.
Cooling and Durability
Cooling:
Efficient cooling is critical for sustained performance. Look for systems with mechanical structures, heat pipes, and/or isolated external smart fan kits.
Durability:
Industrial or ruggedized versions often feature a durable chassis and compliance with military standards like MIL-STD-810H for shock resistance.
Other Features
Management:
IT management software and hardware-level security features are beneficial for professional and enterprise deployments.
Modularity:
Consider systems that support toolless designs for easier maintenance and upgrades.
Key slimness engineering innovations
Advanced cooling systems:
Liquid-assisted air cooling: Systems like Lenovo's Neptune® Air combine liquid-based cooling with traditional air cooling, enabling a compact design without sacrificing performance.
Integrated heatsinks and fans: Specialized thermal designs with integrated external fans are used to manage heat from powerful CPUs and GPUs in smaller chassis, ensuring stable operation.
Compact and specialized components:
Low-profile GPUs: The use of low-profile GPU modules, such as NVIDIA MXM Type A and Type B cards, allows for a significant reduction in overall system height.
Modular design: Modular designs, like Cincoze's CDS (Convertible Display System), enable a slim form factor by separating the display from the computing module, offering flexibility while maintaining a low profile.
Efficient processors: Modern processors with low TDP (Thermal Design Power) like the Intel® Core™ Ultra series, which offer high performance with a low-power 15W TDP, are key to reducing both heat and bulk.
Optimized internal structure:
Dense component layout: Engineers arrange components tightly to minimize internal space, a technique that requires careful design to ensure adequate airflow and prevent hotspots.
Integration of functions: Integrating functions like wireless communication (5G/Wi-Fi) directly onto the motherboard or in compact M.2 slots reduces the need for extra expansion cards and enclosures.
Specialized chassis: Rugged, slim, and durable chassis made from materials like stainless steel are designed for both a compact size and protection in harsh environments.
GPUs enhance edge AI performance
Parallel Processing:
Unlike traditional CPUs that handle tasks sequentially, GPUs can perform massive parallel computations simultaneously, which is ideal for the intensive calculations needed for machine learning inference and computer vision.
Reduced Latency:
By processing data locally at the "edge" where it is generated (e.g., from cameras and sensors), GPUs eliminate the need for data to be sent to the cloud for processing, resulting in near-instantaneous insights and faster decision-making.
Bandwidth and Cost Savings:
Processing data on-site reduces the amount of data that needs to be transmitted to the cloud, which saves on bandwidth costs and network congestion.
Data Privacy and Security:
Processing sensitive data locally on the device can help maintain data privacy and security, as the data does not need to leave the premises for analysis.
