Intel Core 14th Gen i9-14900 24C/32T · NVIDIA RTX 200W GPU · 2× 10GbE + 2× 2.5GbE · 4× PoE+ · -25°C~60°C · 8-48VDC
Vecow Co., Ltd.
Intel/ NVIDIA Partner
Intel Core 14th Gen
Up to i9-14900 24C/32T
65W/35W TDP LGA1700
NVIDIA RTX up to 200W
Dual-slot GPU bay
PCIe Gen5 x16
Up to 128GB DDR5-5600
4× SODIMM slots
ECC support
2× 10GbE (X550-AT2)
RJ45 copper
SR-IOV support
2× 2.5GbE (I226)
4× PoE+ (802.3at)
100W total budget
4× USB 3.2 Gen2 10Gbps
4× USB 3.2 Gen1 5Gbps
2× USB 2.0
4× RS-232/422/485
Software-selectable
Isolated option
2× M.2 NVMe Gen4
2× SATA 2.5" Trays
RAID 0/1/5
1× M.2 E-key WiFi 6E
1× M.2 B-key 4G/5G
1× Mini PCIe
-25°C to 60°C
With 200W GPU
8-48V DC Input
3-pin/4-pin terminal
Ignition control
The Vecow RCX-3000 is a high-performance edge AI inference PC designed for real-time multi-camera vision inspection and AI analytics at the edge. It combines a socket-type Intel Core 14th Gen desktop processor (up to 24C/32T) with a PCIe Gen5 x16 slot supporting up to 200W NVIDIA RTX GPUs. Dual 10GbE ports powered by Intel X550-AT2 deliver 20 Gbps aggregate throughput for high-bandwidth sensor fusion, while 4 PoE+ ports and 4 serial ports provide comprehensive industrial I/O.
Vecow's Flex I/O architecture supports application-specific customization including isolated serial ports, additional LAN ports, and 4G/5G cellular. Built for 24/7 operation in harsh environments (-25°C to 60°C with GPU), the RCX-3000 is deployed in semiconductor AOI, food sorting, traffic analytics, and smart factory MES integration. QS Compute provides full system integration and GPU validation.
Need Vecow RCX-3000 for edge AI inference?
Contact QS Compute for GPU selection, 10GbE network integration, and custom I/O configuration.
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