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2.2.2 | POC-300-Series | Atom E3950 Ultra-Compact Fanless Controller | Request a quote | |
2.2.2 | POC-222 | Atom E3825 Ultra-Compact Fanless Controller with HDD Bay | Request a quote | |
2.2.2 | POC-212 | Atom E3845 Ultra-Compact Fanless Controller with HDD Bay | Request a quote | |
2.2.2 | POC-210 | Atom E3845 Ultra-Compact Fanless Controller 4*COM | Request a quote | |
2.2.2 | POC-200 | Atom E3845 Ultra-Compact Fanless Controller 2*PoE 4*COM | Request a quote | |
2.2.2 | POC-200-Series | Atom E3845 Ultra-Compact Fanless Controller | Request a quote | |
2.2.2 | PXIe-3935/M8G/SSD | 3U PXIe Celeron 2,2GHz HM86 8GB 6*USB 2*GbE 240GB SSD | Request a quote | |
2.2.2 | PXIe-3935/SSD | 3U PXIe Celeron 2,2GHz HM86 4GB 6*USB 2*GbE 240GB SSD | Request a quote | |
2.2.2 | PXIe-3935/M8G | 3U PXIe Celeron 2,2GHz HM86 8GB 6*USB 2*GbE 500GB HDD | Request a quote | |
2.2.2 | PXIe-3935 | 3U PXIe Celeron 2,2GHz HM86 4GB 6*USB 2*GbE 500GB HDD | Request a quote | |
2.2.2 | MXE-212-WT/M2G | Intel Atom E3930 Ultra Compact 2*GbE 2*COM 4*USB wide temp. | call | |
2.2.2 | MXE-210-Series | Intel Atom E3900 Based Ultra Compact Embedded Platform | Request a quote | |
2.2.2 | IoT Gateway Starter kit (MXE-202i) | IoT Gateway Starter kit (MXE-202i), USB ZigBee,sensor&actor | Request a quote | |
2.2.2 | MXE-202i | Atom E3826 fanless 2*GbE 2*COM 1*USB 3.0 2*USB 2.0 OS Windr | EOL, call | |
2.2.2 | MXE-202 | Atom E3826 fanless 2*GbE 2*COM 1*USB 3.0 2*USB 2.0 | Request a quote | |
2.2.2 | MXE-201 | Atom E3845 fanless 2*GbE 2*COM 1*USB 3.0 2*USB 2.0 | Request a quote | |
2.2.2 | MXE-1502/M8G | QC N3060 fanless 8GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | MXE-1502/M4G | QC N3060 fanless 4GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | MXE-1502 | QC N3060 fanless 2GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | MXE-1501/M8G | QC N3160 fanless 8GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | MXE-1501/M4G | QC N3160 fanless 4GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | MXE-1501 | QC N3160 fanless 2GB 1*mini PCIe, 4*USB 2.0 2*USB 3.0, 4*DIO | Request a quote | |
2.2.2 | Nuvo-2030 | Atom D525 Fanless PC 3* PCI 1*GbE 2*COM | use Nuvo-2430 | |
2.2.2 | Nuvo-2030+ | Atom D525 Fanless Controller 3* PCI 1*GbE 2*COM | use Nuvo-2430 | |
2.2.2 | Nuvo-2021 | Atom D525 Fanless PC 2* PCI 1* PCIe x4 1*GbE 2*COM | use Nuvo-2421 | |
2.2.2 | Nuvo-2021+ | Atom D525 Fanless Controller 2* PCI 1* PCIe x4 1*GbE 2*COM | use Nuvo-2421 | |
2.2.2 | Nuvo-2010 | Atom D525 Fanless PC 1* PCI 1*GbE 2*COM | use Nuvo-2430 | |
2.2.2 | Nuvo-2010+ | Atom D525 Fanless Controller 1* PCI 1*GbE 2*COM | use Nuvo-2430 | |
2.2.2 | WMI6201 | Wi-Fi dongle IEEE Bluetooth PCB Antenna | call | |
6.5.3 | autoLABw-Up | autoLAB auf autoLABw | call | |
6.5.3 | autoLAB | Data acquisition, analysis, storage and documentation | call | |
2.2.3.3 | PAC-5070 | ARM-9 DIN-Rail Linux Autom. Control. isol. 4*AD 8/8DIO 2*LAN |
430,00 € (w/o VAT) |
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2.2.3.3 | PAC-5010 | ARM-9 DIN-Rail Linux Automation Controller 16*DI 8*DO |
320,00 € (w/o VAT) |
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2.2.3.3 | RIO-2018BM | Modbus/TCP Remote AI Module Bluemix ready 3*Thermocouple In | Request a quote | |
2.2.3.3 | RIO-2018 | Modbus/TCP Remote AI Module 3* Thermocouple Input | Request a quote | |
2.2.3.3 | RIO-2017PG | Modbus/TCP Remote AI Module C Programmable 8*AD | Request a quote | |
2.2.3.3 | RIO-2017BM | Modbus/TCP Remote AI Module Bluemix ready 8*AD | Request a quote | |
2.2.3.3 | RIO-2017 | Modbus/TCP Remote AI Module 8*AD | Request a quote | |
2.2.3.3 | RIO-2015PG | Cortex M3 FreeRTOS I/O Module 4*AD 2*AO 2*DA 4*DI 2*Relay | Request a quote | |
2.2.3.3 | RIO-2014PG | Cortex M3 FreeRTOS I/O Module isol: 4*AD 2*DA 4*DI 2*Relay | Request a quote | |
2.2.3.3 | RIO-2010PG | Cortex M3 FreeRTOS Programmable I/O Module 16* Isol. DIO | Request a quote | |
2.2.3.3 | RIO-2010BM | Modbus/TCP Remote DIO Module Bluemix ready 16*DI 8*Relay | Request a quote | |
2.2.3.3 | RIO-2010 | Modbus/TCP Remote DIO Module 16*Isol. In 8* Relay Out | Request a quote | |
2.2.3.3 | PAC-5010T | ARM-9 DIN-Rail Linux Automation Controller 16*DI 8*DO ext.T. | Request a quote | |
2.2.3.3 | PAC-4070 | ARM-9 Autom. Controller 4*AD 16bit 2*LAN 2*USB Isol. 4/4*DIO | call | |
2.2.3.3 | PAC-4010T | ARM-9 Automation Controller 2*LAN 2*USB 8*DI 8*DO wide temp | call | |
2.2.3.3 | PAC-4010 | ARM-9 Automation Controller 2*LAN 2*USB 8*DI 8*DO | call | |
2.2.3.3 | PAC-4000 | ARM-9 Automation Controller 2*LAN 2*USB 4*RS232/485 Isol. | call | |
3.4.7.4 | AX-UNIX | Unix device driver, SCO and Interactive UNIX | call | |
3.4.7.4 | AS59040-3 | Windows NT device driver package (-3) for AX-series | call |
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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.