Industrial GPU Computer
With 7th Gen Intel® Core™ Processor
Premio's Industrial GPU Computer is the ideal solution for Machine Vision, Edge Computing, Traffic Vision, Telemedicine, Intelligent Control, Deep Learning, Artificial Intelligence, Voice Recognition and any application workloads requiring intensive processing parallelism and performance driven analytics for Industry 4.0/IIoT applications.
- Support Nvidia GeForce® GTX 1050 Ti and RTX 2060 Super graphics engine
- LGA 1151 socket for 6th/7th Gen Intel® Core™ i7/i5/i3 or Pentium®/Celeron® Processor
- 6x display interface supported by 2x DVI-I, 3x DisplayPort, 1x HDMI
- Intel® GbE supporting Wake-On-LAN and PXE
- Full-size mini PCIe for communication or expansion modules
- 9 to 48VDC wide range power input supporting AT/ATX modes
- Wide Operating Temperature (-25°C to 60°C)
Products:
Regular price total regular price: $1,796.00
Regular price total regular price: $1,778.00
Download Our Solution Guide For Embedded Computer and Industrial Touch Display Solutions
High Performance Edge Computing
By moving computing and data closer to the user, edge computing can provide significantly improved throughput, better performance, and real-time processing. The ability to analyze data closer to the source will minimize latency, reduce network traffic, and lower data management costs while improving privacy and security.
Read More on the benefits of Edge Computing ...
Reduce Network Traffic
and Cloud Reliance
Accelerate Time
to Action and Control
Cost Efficency
7th Gen Intel® Core™ Processor
Powered by 7th Generation Intel® Core™ Processor for blazing fast performance for AI, machine learning, industrial automation, surveillance, and metrology. The 7th Generation Intel® Core™ Processor is up to 17% percent faster than its prior generation, all without increasing the thermal design power (TDP). Industrial GPU computer also features the 35W LGA 1151 socket designed for low-power IoT deployments and is packaged with Intel Q170 PCH chipset for I/O expansion and accessibility.
Supports Nvidia CUDA Core Architecture for Performance Acceleration
Industrial GPU computers are designed to balance both multi-core processing and dedicated GPU acceleration for machine learning and inference analysis of sensory data. Many new industry 4.0 applications rely on computer vision technology and hardware acceleration for precision accuracy of real-time processing and floating-point calculations. The dedicated PCIe add-in card provides a scalable GPU solution for power and performance efficiency in industrial-grade settings
The Power of GeForce RTX 2060S
| GPU Architecture | Turing |
| Nvidia® CUDA® Cores | 2176 |
| RTX-OPS | 41 T |
| Boost Clock | 1650 Mhz |
| Frame Buffer | 8GB GDDR6 |
| Memory Speed | 14 Gbps |
The Power of GeForce GTX 1050Ti
| GPU Architecture | Pascal |
| Nvidia® CUDA® Cores | 768 |
| Frame Buffer | 4 GB GDDR5 |
| Memory Speed | 7 Gbps |
| Boost Clock | 1392 MHz |
Support up to 8K Resolution & 6 Independent Displays
Through combining discrete Nvidia GPU and integrated Intel HD Graphics units, Premio GPU computers enable support for up to 8K resolution and six independent displays.
Versatile Industrial I/O Interfaces & Diverse Expandability
Rich multi-functional I/O ports including Dual GbE (additional 4x LAN port on RCO-6000-KBL-1050TI ), 4x COM, up to 8x USB, and 8 digital I/O ports allow Premio’s industrial GPU computer for better expansion and future utility. An additional up to 4 mini PCIe slots provide more flexibility for multiple applications.
Robust system design enabling GPU computing in harsh environment
Flexibility and performance are packed into a robust and durable design for incomparable user experience. Premio GPU computing systems go through a rigorous design cycle with strict quality assurance procedures and extensive product testing. These industrial computers are the ideal solution for versatile operations in rough and harsh environments.
Successful Deployment Applications For Industrial GPU Computer
Inference Processing and Machine Learning At The Edge
Reducing Airport Security Check to Just 20 Seconds using powerful GPU computing for machine learning and facial recognition
Industrial Metrology and Quality Inspection at the Edge
High Performance Industrial GPU Computer Helps Industrial Metrology Increase Scan Speeds up to 10X Faster
FAQ
An Industrial GPU computer is a rugged, edge computing solution that utilizes a dedicated GPU (Graphics Processing Unit) card for computational intensive applications requiring advanced image processing and machine vision/intelligence. In addition to a performance boost from the GPU, an industrial GPU computer will also have all the key requirements of what makes up an industrial computer, such as support for high shock/vibration ratings, wide operating temperatures, and over voltage/reverse polarity protection. The industrial GPU computer is transforming how factory automation and smart manufacturing verticals are utilizing computational analysis and machine intelligence in real-time.
- Computer / Machine Vision
- Production line inspection
- Medical imaging
- Metrology imaging
- Facial recognition
- Navigation
- Autonomous vehicle
- Pathfinding
- Automation
- Factory automation
- Pathfinding
- Artificial Intelligence
- Deep learning
- Machine learning
Both GPUs (Graphics Processing Unit) and CPUs (Central Processing Unit) have many traits in common; they are both specifically designed microprocessors to handle various tasks. The key difference is HOW they process these tasks. In a computer, the CPU is often referred to as the brain of the system; it is the central processing unit which handles all computing tasks. A GPU, while similar to a CPU, is engineered specifically to process or render graphics. As such, a GPU can work in conjunction with the CPU to help it offload graphics intensive tasks, while freeing up the CPU for other non-graphics related jobs.
The CPU is ideal for serialized, generic tasks, which makes it well-suited for common business or productive applications such as Word, Excel, or a web browser. The number of cores in a given CPU is limited, up to 28 cores for the latest Xeon server class CPU. Conversely, the GPU comes with hundreds or even thousands of cores, which is designed for parallelized, specific tasks; the GPU is optimized for intensive computational applications such as image processing or AI.
As an example, let's examine the fundamentals of image processing. The 4K image of the clock consists of 8.2 million discrete pixels (4K resolution is 3,840 x 2,160, which gives us 8.2 million pixels). From a high level, in order to process the image, we will need to perform some type of computation to each individual pixel. If this task is given to a CPU, with its limited number of cores, the processing time will take very long, as the CPU does not have enough cores to handle the task in parallel. The GPU, which its thousands of specialized cores, can complete the task up to 50-100X faster due to its parallel architecture. This makes the GPU the optimal microprocessor to handle tasks that require parallelism with a high degree of computation.
We begin with a proven embedded system that is engineered to withstand extreme shock and vibration, along with a wide operating temperature range; the inclusion of an industrial class GPU will enable the system to operate reliability in industrial/manufacturing sectors, with the GPU handling AI or image processing applications that require massive parallelism.
One way to compare the performance of various GPUs is by their TFLOP rating. TFLOP stands for "teraflop," which is a measurement of the GPU to performance one trillion floating point operations per second. By adding a GPU to an industrial system, another critical variable we need to consider is the TDP (Thermal Design Power) rating of the GPU. The TDP rating tells us the maximum heat, in watts, generated by the GPU when operating at maximum capacity. This is key in determining the operational temperature range of an industrial GPU system, which should be optimally in the range of -25C to 60C for factory/manufacturing averse conditions. By looking at the Performance versus TDP chart below, we can see the direct correlation between these two values: as the GPU performance increases, so does its corresponding TDP value. When designing an industrial GPU system, there is a fine balance to strike between GPU performance versus overall system operating temperature.
| KEY DIFFERENCE | VCO | RCO |
|---|---|---|
| Ports Accessibility | All front facing ports Ideal for factory line mounting |
Front and rear facing ports |
| Vibration Rating | 3 Grms Ideal for staionary factory line mount |
Higher 5 Grms Ideal for mobile mount in cars or carts |
| Wide Range Temperature | -25C to 70C (-13F to 158F) | -25C to 70C (-13F to 158F) |
| Wide Range Voltage | 9 ~ 50 VDC | 9 ~ 48 VDS |
| Expandability | 2x mini PCIe slots | 2x universal slots for additional ports, 2x mini PCIe slots |
| Communication | Wifi optional; 2x antenna holes | Wifi and Cellular (4G/LTE) optional; 4x antenna holes |
| Mounting | Wallmount, Bookmount, or DIN rail | Wallmount |
| Shared Features | ||
| Processor | Intel 6th gen/ 7th gen i3, i5, i7, quad core | |
| Chipset | Intel Q170 | |
| Digital I/O ports | 8 in / 8 out isolated | |
| Video Ports | 2x DVI-I, 1x HDMI, 3x DisplayPort | |
We offer two options of GPU chipsets for the 7th gen industrial GPU computers that have been tested and approved for fit and functionality. The Nvidia GTX1050Ti and the RTX2060 Super chipsets are two options system integrators can bundle for performance acceleration. Contact our embedded experts for more information on PCIe add-in cards.
