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1.7.8.1.1 | i7-3610QE | Intel Core i7-3610QE | call | |
1.7.8.1.1 | i3-6100TE | Intel Core i3-6100TE | call | |
1.7.8.1.1 | i5-6500TE | Intel Core i5-6500TE | call | |
1.7.8.1.1 | i7-6700TE | Intel Core i7-6700TE | call | |
3.2.1.3 | ACL-6126 | 6 DA Card 12bit 15kS/s 16/16TTL DIO | EOL | |
3.2.1.3 | A-628 | 8 DA Card 12bit 15kS/s 16/16TTL DIO | OEM | |
3.2.1.2 | PCI-6208A | 8 DA PCI Card 16bit Current Out |
716,00 € (w/o VAT) |
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3.2.1.2 | PCI-6216V-GL | 16 DA UPCI Card 16bit |
871,00 € (w/o VAT) |
|
3.2.1.2 | PCI-6208V-GL | 8 DA UPCI Card 16bit ±10V |
529,00 € (w/o VAT) |
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3.2.1.2 | DA12-16(PCI) | PCI 16 DA Card 12bit |
640,00 € (w/o VAT) |
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3.2.1.2 | DA16-4(LPCI)L | PCI Low Profile 4 DA Card 16bit |
400,00 € (w/o VAT) |
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3.2.1.2 | DA16-8(LPCI)L | PCI Low Profile 8 DA Card 16bit |
530,00 € (w/o VAT) |
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3.2.1.2 | DA16-16(LPCI)L | PCI Low Profile 16 DA Card 16bit |
750,00 € (w/o VAT) |
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3.2.1.2 | DA12-8(PCI) | 8 D/A Card 12bit 100kS/s 4/4 TTL DIO |
580,00 € (w/o VAT) |
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3.2.1.1 | AO-1616L-LPE | PCIe Low Profile DA 100kS/s 16 Bit 16 CH + 4*DI + 4*DO + Cou |
830,00 € (w/o VAT) |
|
3.2.1.1 | AO-1608L-LPE | PCIe Low Profile DA 100kS/s 16 Bit 8 CH + 4*DI + 4*DO + Cou |
530,00 € (w/o VAT) |
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3.2.1.1 | AO-1604L-LPE | PCIe Low Profile DA 100kS/s 16 Bit 4 CH + 4*DI + 4*DO + Cou |
440,00 € (w/o VAT) |
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3.2.1.1 | PCIe-6208V-GL | PCIe 8 DA Card 16bit ±10V |
544,00 € (w/o VAT) |
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3.2.2.2 | DAQ-2502 | PCI DA Card 8*Chan 1MS/s |
1.300,00 € (w/o VAT) |
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3.2.2.2 | DAQ-2501 | PCI DA Card 4*Chan 1MS/s |
867,00 € (w/o VAT) |
|
3.2.2.2 | DAQ-2502L | PCI DA Card 8*Chan 1MS/s w/o trigger | call | |
3.2.2.1 | DAQe-2502 | PCIe DA Card 8*Chan 1MS/s |
1.239,00 € (w/o VAT) |
|
3.2.2.1 | DAQe-2501 | PCIe DA Card 4*Chan 1MS/s |
828,00 € (w/o VAT) |
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3.2.2.3 | cPCI-6216V-GL | 16 DA cPCI Card 16bit ±10V |
999,00 € (w/o VAT) |
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3.2.2.3 | cPCI-6208V-GL | 8 DA cPCI Card 16bit ±10V |
666,00 € (w/o VAT) |
|
3.2.2.3 | PXI-2502 | PXI DA Card 8*Chan 1MS/s |
1.500,00 € (w/o VAT) |
|
3.2.2.3 | PXI-2501 | PXI DA Card 4*Chan 1MS/s |
1.093,00 € (w/o VAT) |
|
3.2.3.2 | PCI-6308A | 8 isolated DA PCI Card 12bit 0..20/4..20/5..25mA |
851,00 € (w/o VAT) |
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3.2.3.2 | PCI-6308V | 8 isolated DA PCI Card 12bit ±10V/0..10V |
660,00 € (w/o VAT) |
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3.2.3.2 | AO-1604CI3-PCI | PCI isolated DA card 50kS/s 16Bit 4CH + Timer + ext Trigger | on request | |
3.2.3.1 | AO-1604LI-PE | PCIe isolated DA card 100kS/s 16 Bit 4 CH + 4*DI 4*DO + Cou |
550,00 € (w/o VAT) |
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6.5.1 | DasyLAB-RT | Dasylab, Run Time Version | call | |
6.5.1 | DasyLAB-P | Dasylab Pro Version mit Analysetoolkit | call | |
6.5.1 | DasyLAB-B | Dasylab Basic Version | call | |
6.5.1 | DasyLAB-L | Dasylab, Lite Version | call | |
4.5.6 | MAQ20-DIOH | DIN Rail 4/4 chan digital IO out AC load MAQ20 module |
181,00 € (w/o VAT) |
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4.5.6 | MAQ20-DIOL | DIN Rail 5/5 chan digital IO MAQ20 module |
162,00 € (w/o VAT) |
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4.5.6 | MAQ20-IO | DIN Rail 8 chan Courrent out MAQ20 module |
420,00 € (w/o VAT) |
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4.5.6 | MAQ20-VO | DIN Rail 8 chan Voltage out MAQ20 module |
430,00 € (w/o VAT) |
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4.5.6 | MAQ20-RTD41 | DIN Rail 5 chan 4 wire RTD/Potentiometer/Pt/Ni MAQ20 module |
299,00 € (w/o VAT) |
|
4.5.6 | MAQ20-RTD31 | DIN Rail 6 chan 3 wire RTD/Potentiometer/Pt/Ni MAQ20 module |
299,00 € (w/o VAT) |
|
4.5.6 | MAQ20-RSTC | DIN Rail 8 chan thermocouple typ R and S MAQ20 module |
271,00 € (w/o VAT) |
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4.5.6 | MAQ20-TTC | DIN Rail 8 chan thermocouple typ T MAQ20 module |
270,00 € (w/o VAT) |
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4.5.6 | MAQ20-KTC | DIN Rail 8 chan thermocouple typ K MAQ20 module |
269,00 € (w/o VAT) |
|
4.5.6 | MAQ20-JTC | DIN Rail 8 chan thermocouple typ J MAQ20 module |
268,00 € (w/o VAT) |
|
4.5.6 | MAQ20-IDN | DIN Rail 8 chan mA diff MAQ20 module |
252,00 € (w/o VAT) |
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4.5.6 | MAQ20-ISN | DIN Rail 16 chan mA SE MAQ20 module |
242,00 € (w/o VAT) |
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4.5.6 | MAQ20-VDN | DIN Rail 8 chan V AD diff MAQ20 module |
251,00 € (w/o VAT) |
|
4.5.6 | MAQ20-VSN | DIN Rail 16 chan V AD SE MAQ20 module |
241,00 € (w/o VAT) |
|
4.5.6 | MAQ20-MVDN | DIN Rail 8 chan mV AD diff MAQ20 module |
250,00 € (w/o VAT) |
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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.