DFI VC300-CS: AI Edge Computing on the move!

DFI VC300-CS

In-vehicle fanless computer
with MXM GPU and 5G capabilities

Need a powerful and reliable computer for todays and future vehicle needs?

Introducing the DFI VC300-CS; the all-encompassing in-vehicle industrial computer. The VC300-CS provides two (imperative) features to produce an overall application solution befitting to any in-vehicle PC need – specifically, graphical processing via an MXM module to accelerate image analysis and 5G support for low latency and ultra-fast data transfer at a wide bandwidth.

With 4G transmission rates the delay is around 30~50ms – where with 5G communications the point-to-point delay is only 1~5ms. In real terms, a car traveling at 100km/h, and with the distance travelled, the delay time is only 3cm with 5G in comparison to 150cm with 4G which highlights the difference where efficiencies around hazard detection and fast responses are required. Where autonomous driving is concerned – which typically generates high volumes of data and the sharing of that data with  surrounding vehicles and devices – this highly depends on the ultra-high transmission speed that 5G communications can bring.

AI vision and machine learning requires considerable amounts of images and related data to be generated for precise analysis, making the GPU even more essential for future vehicle needs. The VC300-CS provides processing capabilities of up to 150W, 3072 CUDA cores, and 64TFlops via the MXM3.1 module, which is powerful enough to cope with the workloads of autonomous driving.

In association with autonomous driving, the need for advanced driving assistance and seamless collaboration in the internet of the vehicle ecosystem, the VC300-CS can be highly regarded as a capable solution in meeting the demands of future vehicle driving trends.

DFI VC300-CS with MXM support

AI Edge Computing in-vehicle: VC300-CS With MXM & 5G

DFI’s VC300-CS is a fanless, AI-enabled in-vehicle computer. Powered by Intel’s 8th / 9th generation  core processors and their integration with NVIDIA MXM modules, the VC300-CS accelerates graphical processing for AI vision and machine learning. In addition, 5G capability provides real-time communication and response to dynamics at the Edge. The VC300-CS achieves capable performance for advanced driver assistance where risk prediction, onboard surveillance and the delivery of passenger safety is concerned in today’s increasingly diverse ecosystem of intelligent transportation.

Enhanced AI – a realisation via MXM

Where moving vehicles are concerned, AI vision and machine learning require availability of imagery and relating data for precise analysis, making the incorporation of a competent GPU solution even more essential for vehicle control and safety.  Providing processing capabilities of up to 150W, 3072 CUDA cores, and 64TFlops via a MXM3.1 module, the VC300-CS is powerful enough for the workloads of autonomous driving.

The 5G era equals real-time data synchronization

To provide the ecosystem of future transportation needs, requires the ability to analyse and transfer large amounts of data in real-time. Therefore, a 5G network which features multi-gigabit speeds and ultra-low latencies strengthens the synergy of devices and makes communications efficient to achieve immediate roadway hazard detection and rapid response in emergencies.

DFI VC300-CS with 5G support

All-inclusive functionality and interfacing

The VC300-CS not only supports 4 x  15W M12 X-coded PoE, 2kV isolated DIO and numerous ruggedized I/O interfaces, it also provides multiple M.2 & mini PCIe slots for LTE, 5G, WiFi, GNSS, CANbus, or MVB functions. In addition, 4 x external 2.5” SSD bring an abundance of data storage and disk array functionality. The comprehensive variety of on board i/o meets most system requirements head on for a multitude of needs in smart transportation inclusive of wayside or onboard applications.

DFI VC300-CS I/O

A perfect balance between high performance and efficient heat dissipation

The VC300-CS, with its excellent dissipation design characteristics , can efficiently and sustainably operate in testing environments of –25°C through to 70°C even when deployed under driver or passenger seating – and  without the use ‘f active external cooling fans.

VC300-CS Wide Temp

Applications

vc300 cs app 3

Autonomous Driving

vc300 cs app 2

Internet of Vehicles

vc300 cs app 1

Onboard Security

VC300-CS Key Features

  • 8th/9th Generation Intel® Core™ Processors
  • 4 RJ45 PoE ports at 15.4W
  • AI accelerated: 115W MXM GPU
  • Expansion capabilities: 3 mini-PCIe, 1 M.2 M key, 1 M.2 B key
    (5G/LTE/WiFi/GNSS/CAN bus…)
  • Operating temperature up to -25 to 70°C (fanless)
  • Wide Voltage: 9~36V
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DFI VC300-CS

Compatible MXM Modules

TYPEMODELCUDA CORESPOWEROPPERATING TEMP
QuadroP100051247W-20°C to +70°C
QuadroP200076858W-20°C to +70°C
QuadroT100089650W-20°C to +70°C
Quadro RTXRTX3000192080W-20°C to +70°C
Quadro RTXRTX50003072150W-20°C to +70°C
(external airflow needed)

Similar Product
Rail – RC-300-CS

DFI RC-300-CS - fanless

Fanless

DFI RC-300-CS - mxm

MXM GPU

DFI RC-300-CS - en50155

EN50155 Certified

DFI RC-300-CS - 5G

5G Module

DFI RC-300-CS
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Features

  • 8th/9th Generation Intel® Core™ Processors
  • 4 x M12 X-coded PoE Ports at 15W
  • AI Accelerated: Up to 110W GPU MXM Module Supported
  • Multiple Expansion Slots for 3G/LTE/5G Cellular Support
  • Extended Operating Temperature: -25°C to 70°C Operation without Active Fan
  • Support 5G Communication
  • 15-Year CPU Life Cycle Support Until Q2′ 34 (Based on Intel IOTG Roadmap)

We like to make life easier ….

BVM supply a wide and diverse range of Industrial and Embedded Systems. From Industrial Motherboards, SBCs and Box PCs, to Rack Mount computers and Industrial Panel PCs so, if you cant find an off the shelf system that meets your specific requirements speak with our in house design team who can design a new product from start to finish.

You can either call us directly on +(0) 1489 780 144 and talk to one of the team | E-mail us at sales@bvmltd.co.uk | Use the contact form on our website

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