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RVS-T1M, ENBIK Ultra-Mini Palm size MXM GPU Edge AI Computer
The world’s smallest ultra-Mini palm-sized MXM GPU Edge AI Computer , supports Intel® 13th/12th Core™ processor and NVIDIA GPU
- Supports NVIDIA® Ampere/Ada Lovelace TYPE A MXM GPU Module
- Supports NVIDIA MX550-4G, RTX4050-6G, A2000-8G
- Supports Intel® 13th/ 12th-Gen Core™ 15W CPU
- 2x RJ45 LAN(1x 2.5GbE, 1x GbE)
- 1x RS232/422/485, 1x RS232
- 8x USB( 6x USB3.2 GEN1x1 5Gbps, 2x USB 2.0)
- 1x Mic In/Line Out
- 2x Displays (1x HDMI , 1x DP)
- 2x M.2 2242 SATA III for SSD (1x share with M.2 3052 slot )
- 1x M.2 2242/3052 B key with SIM slot, support 4G/5G
- 1x Full Size Mini-PCIe with SIM slot, support 4G/5G
- 1x M.2 Key E Type 2230 for WIFI/BT/GPS
- 6~48V Wide DC Input Voltage
- Wide operating temperature -40°C ~ 50°C ( 35W GPU TGP)
- Ignition/Remote Power Switch Control
ENBIK RugCon-RVS-T1M is a ultra-mini palm-sized edge AI computer with only 145 x 125 x 83 mm size ideal for space-constrained setups. RVS-T1M combines low power consumption Intel® 13th/12th generation core™ 15W processor with high-performance AI computing ability which can effectively solve the problem of edge artificial intelligence deployment with limited power supply. RVS-T1M offers a wide range of I/O ports including 2x LAN(2.5GbE/GbE), 1x RS232/422/485, 1x RS232, 8x USB and Multiple M.2 internal expansion slots for 5G/4G/WIFI/GPS. RVS-T1M also has 2x M.2 2242 SATA III slots, which can install two SSD at the same time.
What is exciting is that the RVS-T1M can support MXM GPU of NVIDIA, which undoubtedly makes software developers more excited. The rich NVIDIA software ecosystem makes edge artificial intelligence deployment faster and easier to implement, effectively solves the installation and low-latency reasoning problems of various artificial intelligence models at the edge, and quickly makes various decisions and judgments at the edge. Modular GPU scalability ensures seamless upgrades to meet evolving application demands, the ENBIK’s RVS-T2M is definitely the best choice for edge deployment of demanding artificial intelligence tasks, limited space and limited power in various edge applications.
Application
ENBIK RugCon-RVS-T1M is suitable for edge computing, AIoT, machine vision, AGV/AMR, In-Vehicle systems, rail transit, robot control and automation control, as well as various harsh and extreme edge environments with limited installation space and limited power supply.

Specifications
| GPU Performance | ||
| RTX4050-35W | 6GB GDDR6 96bit/8.218TFLOPS/194 TOPS/2560 CUDA/80 Tensor/20 RT Core | |
| MX550-35W | 4GB GDDR6 64 bit/4.5 TFLOPS/1024 CUDA/32 Tensor/16 RT Core | |
| IO Interface | ||
| USB |
8 |
4x USB 3.2 Gen2x1(10Gbps)/USB 2.0,
4x USB 2.0 |
| Display |
2 |
1x HDMI , 1x DP |
| Audio |
1 |
1x Mic-In , 1x Line Out |
| LAN |
2 |
1x RJ45 2.5 GbE with TSN support , 1x RJ45 GbE |
| COM |
2 |
1x RS232/422/485,1x RS232 |
| CAN |
0 |
N/A |
| DIO |
0 |
N/A
|
| Storage | ||
| M.2 |
2 |
2x M.2 2242 M key SATAIII |
| 2.5” |
0 |
N/A |
| On Board Expansion | ||
| Mini-PCIe
M.2 Expansion |
3 |
2x Full Size Mini-PCIe with SIM supporting 4G/5G/LTE
1x M.2 Key E Type 2230 for BT/GPS |
| M.2 2280 M key |
0 |
N/A |
| Mechanical | ||
| Mechanical | Dimension : 145(w) x 125(D) x 60(H) mm
Weight : 1.2 kg Mounting : Wall Mount |
|
| Mechanical | ||
| AI BOX |
Support installing MFSA, this is ENBIK AI BOX which equipped with MXM GPU AI Card |
|
| Environmental | ||
| Operating Temp. | -25°C ~ 70°C
-40°C ~ 85°C ( Extended) |
|
| Storage Temp. | -40°C ~ 85°C | |
| Humidity | 0%~90% , non-condensing | |
| Vibration | EN 50155:2017/ IEC 61373, Category I, Class B – Body mounted
MIL-STD-810H, Method 514.8, Category 4 |
|
| Shock | EN 50155:2017/ IEC 61373, Category I, Class B – Body mounted
MIL-STD-810H, Method 516.8, Procedure I |
|
| EMC | CE/FCC Class A | |
| Power |
| 1x Power Button
1x 3-pin pluggable terminal block for 6~48V DC Input 1x 4-pin pluggable terminal block forIgnition control and Remote Control |
| Warranty |
| 3 Year Warranty |
Cenvalsa, distribuidor de componentes electrónicos, mecánicos e industriales























