Half-height graphics cards (sometimes called mini-cards) are effective for graphics subsystems with a TDP below 75.Ĭustom motherboard designs can also help combat some of the key GPU complications by strategically positioning components for maximal cooling and electrical efficiency.
MPCIE EXTERNAL GPU ENCLOSURE PC
The Nuvo-5095GC system from Neousys is an accomplished example of this modular approach that allows for the GPU cassette to be easily to swapped out for service or upgrading without requiring replacement of the entire system.Įxample NUVO-5095GC industrial fanless PC with external GPU cassetteĪn additional solution utilizes the range of available low profile, lower power half-height graphics cards, which run directly off a standard PCI-e expansion slot, helping reduce cost while offering a compact footprint and efficient cooling. The arrangement makes it possible to leverage powerful GPUs for specific computational tasks such as image analysis and display. Modular, cassette-based designs enable a fanless, sealed-case Industrial PC to accept a discreet graphics card module, complete with fan and heatsink. Nevertheless, it’s becoming progressively common to find industrial solutions that bridge the gap.
This kind of approach is problematic for Industrial PCs, which leverage solid state designs for maximum efficiency and reliability.
Your standard consumer-grade high-performance PC boasts multiple fans and heatsinks, with powerful GPUs that can pump out 200 watts or more of thermal design power (TDP). Industrial GPU computers provide a application-focused performance with the dependable platform for autonomous driving, vision-based quality assurance, medical imaging and other graphically depending tasks. The durable, industrial design keeps your GPU based application cool, protected and running longer with durable hardshell design, engineered specifically for challenging evironments. There are a wide range of GPU and system customization options with long-lasting industrial design for challenging environments and perfect for deep learning, machine vision, Al, and high-end image processing. What are the capabilities of an Industrial GPU Computer?ĭedicated graphics cards work as co-processors to enable advanced image processing and are available in a range of industrial fanless, actively cooled, and removable cassette configurations. Industrial VPU computers offer application-focused performance for reliable, long-lasting, low power platforms for object and facial recognition, security access and machine learning applications using Google Tensorflow and Facebook Caffe frameworks.įor flexible image data processing, industrial VPU computers match your image and object recognition needs with VPUs configurable in a range of PCs, from compact edge devices to Hexa-Core powerhouses.Īdditionally, for a durable and industrial design the low thermal and power footprint enables vision processing to move further out on the edge and stay protected with compact, fanless industrial enclosures. There are a wide range of VPU and system customization options with compact industrial and fanless designs for challenging environments and perfect for object recognition and machine learning applications. VPUs take the load off the CPU by assigning tasks to an application-specific co-processor for object, facial recognition and machine learning functions using less heat and power than a GPU. What are the capabilities of an Industrial VPU Computer? What are the differences between a VPU and GPU? These systems typically integrate either a VPU (Vision Processing Unit) or GPU (Graphics Processing Unit) and have the option to maintain a fanless design. It is becoming increasingly common that small ruggedized PCs are tackling compute-intensive tasks that call for powerful graphics hardware that enable leading-edge performance in a fanless, solid state system which is hard to do, as it must equivalate power consumption, cooling capacity, cost and system reliability.Īssured Systems build a wide range of Industrial GPU Accelerated PCs for machine vision, learning and AI applications requiring additional processing power while maintaining a ruggedized design.
0 kommentar(er)
