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7.3 | 5B32-01 | 5B module current 4-20mA in, 0-5V out | call | |
7.3 | 5B31-06 | 5B module ±10V in, 0-5V out, 4Hz | call | |
7.3 | 5B31-05 | 5B module ±5V in, 0-5V out, 4Hz | call | |
7.3 | 5B31-04 | 5B module ±1V in, 0-5V out, 4Hz | call | |
7.3 | 5B31-03 | 5B module ±10V in, ±5V out, 4Hz | call | |
7.3 | 5B31-02 | 5B module ±5V in, ±5V out, 4Hz | call | |
7.3 | 5B31-01 | 5B module ±1V in, ±5V out, 4Hz | call | |
7.3 | 5B30-06 | 5B module ±100mV in, 0-5V out, 4Hz | call | |
7.3 | 5B30-05 | 5B module ±50mV in, 0-5V out, 4Hz | call | |
7.3 | 5B30-04 | 5B module ±10mV in, 0-5V out, 4Hz | call | |
7.3 | 5B30-03 | 5B module ±100mV in, ±5V out, 4Hz | call | |
7.3 | 5B30-01 | 5B module ±10mV in, ±5V out, 4Hz | call | |
7.3 | MBES4x | Frontplatte für Euroformat 9TE | call | |
7.3 | MB5B19R | 19'' Einschub 3HE für 9 MT5BB4 | call | |
7.3 | MT5BB8G | Tischgehäuse für 2*MT5BB4 | call | |
7.3 | MT5BB4G | Handgehäuse für MT5BB4 | call | |
7.3 | MT5BB2 | Basisplatine im Europaformat zur Aufnahme von 1-2 Modulen | call | |
7.3 | MT5BB4 | Basisplatine im Europaformat zur Aufnahme von 1-4 Modulen | call | |
7.2 | MTVA3011 | Module true RMS amplification, In ±500mV, Out ±5V, isolated | call | |
7.2 | MTVA3104 | Module true RMS amplification, In ±5V, Out ±5V, isolated | call | |
7.2 | MTV3011 | Module amplification, input ±500mV output ±5V, isolated | call | |
7.2 | MTV3104 | Module amplification, input ±5V output ±5V, isolated | call | |
7.2 | MTV4106 | Eingangsspannung ±10V DC, Ausgang ±10V | call | |
7.2 | MTBPC16 | PC Basisplatine für 1-16 Signalkonditionierungsmodule | call | |
7.2 | MTBPC8 | PC Basisplatine für 1-8 Signalkonditionierungsmodule | call | |
7.2 | MTISO | Galvanische Trennung | call | |
7.2 | MBES4B | Frontplatte 9TE mit 4 BNC Buchsen | call | |
7.2 | MBES4P | Frontplatte 9TE mit 4 4pol. Klemmsteckverbindern | call | |
7.2 | MBES4T | Frontplatte 9TE mit 4 Thermosteckern | call | |
7.2 | MBES4L | Frontplatte 9TE 9TE mit 4 4pol. Lemosabuchsen | call | |
7.2 | MB19R-MTB4 | 19'' Einschub 3HE für 9 MTB4 | call | |
7.2 | MTB8G | Tischgehäuse für 2*MTB4. | call | |
7.2 | MTB4G | Handgehäuse für MTB4. | call | |
7.2 | MTB4 | Europakarten Basisplatine zur Aufnahme von 1-4 Modulen | call | |
1.7.2 | F845A | Socket478 slot CPU, VGA, 2*LAN |
620,00 € (w/o VAT) |
|
1.7.2 | AP-40AHD | Slot CPU all in one Card 486 processor chip-on-disk edo RAM | use HS-5620 | |
1.7.2 | NuPro-315/2M | ISA slot CPU 386, with 2MB DRAM onboard, DOC, with 16bit DIO | EOL | |
1.7.2 | NuPro-315 | ISA slot CPU 386, with DOC, with 16bit DIO | EOL | |
1.7.2 | HS-4500 | Embedded socket 7 Board with CRT/Panel, LAN & Audio | phased out | |
1.7.2 | HS-3000/4M | ISA slot CPU 386, with 4MB DRAM, VGA, DOC, 4*RS232/485 | phased out | |
1.7.2 | NuPro-335 | ISA slot CPU 386, with disk-on-chip socket, with VGA/LCD | EOL | |
1.7.2 | NuPro-375 | ISA slot CPU 386, disk-on-chip socket, VGA/LCD, 4 serial | EOL | |
1.7.2 | NuPro-405 | ISA slot CPU 486, with disk-on-chip socket | EOL | |
1.7.2 | NuPro-406 | ISA slot CPU with AMD X5 133MHz, with disk-on-chip socket | EOL | |
1.7.2 | NuPro-451 | ISA slot CPU 486, with disk-on-chip socket, with VGA/LCD | EOL | |
1.7.2 | NuPro-450 | ISA slot CPU 486, disk-on-chip socket, VGA/LCD, Ethernet | EOL | |
1.7.2 | NuPro-570 | PICMG slot CPU AMD K6 266MHz, disk-on-chip socket, VGA/LCD | EOL | |
1.7.2 | NuPro-575 | ISA slot CPU AMD K6 266MHz, DOC socket, VGA/LCD, half size | EOL | |
1.7.2 | NuPro-581 | PICMG slot CPU AMD K6 266MHz, with disk-on-chip socket | EOL | |
1.7.2 | NuPro-580 | PICMG slot CPU AMD K6 266MHz, disk-on-chip socket, VGA/LCD | EOL |
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acceed news
The inference AI controller Nuvo-9166GC is the latest model from the renowned manufacturer Neousys and now available from the German distributor Acceed. Above all, its combination of robustness meeting industry requirements, individual expansion options for example for cameras, and server-based inference performance as required for current and future artificial intelligence. The platform, which can be configured in accordance with the customers’ wishes supports the latest GPU card 1.4 from Nvidia and provides the 13th generation (Raptor Lake) with a processor power of up to 30 TeraFLOPS.
For increasingly efficiently working automation based on artificial intelligence, above-all performant hardware for Edge AI applications is gaining significance. In this context, the German distributor Acceed has now augmented its portfolio with the Nuvo-10208GC, a further latest generation robust platform, which makes a wide range of demanding applications possible. Autonomous driving, optical quality inspection and the monitoring of traffic and material flows are just some of the complex tasks for which the Nuvo-10208GC can provide its strong computing capacity supported by two GPUs.
The NRU series for Edge AI applications from the German distributor Acceed is growing. With their fanless chassis design for operation at high temperatures and powerful inference performance, the NRU series controllers are pre-destined for Edge computing installations in confined spaces, e.g. for AI-based video analysis, for monitoring and steering tasks or for manufacturing controls. The robust and fanless NRU-220S and NRU-222S controllers have six RJ45 or M12 Ethernet connections, two of which have 2.5 GbB bandwidth. PoE with an overall capacity of 100 W is available for the remaining four interfaces.
Above-all, the sensor system is extremely important for autonomous robots, vehicles, ground conveyors and similar autonomously acting machines. What is meant is data acquisition with cameras or other sensors and its processing as fast as possible in order to execute the desired programmed functions and actions. The German distributor Acceed has now announced the new series of compact industrial AI platforms with the name NRU-51V+ for the near future. The robust and fanless controllers have four FAKRA-Z ports for GMSL2 cameras and are precisely tailored to these tasks with their equipment with type Jetson Orin or Xavier Nvidia high-performance modules.
In addition to large memory capacity for the data basis, AI applications and edge computing scenarios above-all require high processor power for the evaluation of data and real time reaction. Here, the main performance is currently provided by specialised GPU computers whose architecture is precisely tailored to these tasks. At the same time, the controllers with as small a construction size as possible should be robust and usable in virtually all areas, whether automation, medicine, logistics or general image and data processing. The new Box controller Nuvo-9160GC from the German distributor Acceed is designed to achieve precisely these targets. The platform, which can be configured in accordance with customer requirements, supports the latest RTX-GPU from Nvidia with an output of up to 130 W and supplies a processor power of up to 9 teraflops based on various 12th generation Intel processors.