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1.8.1 EGPL-G2P1-C1-A71 M.2 to dual isolated PoE module Request a quote
1.8.1 EGPL-G2P1-W1-A71 M.2 to dual isolated PoE module WT Request a quote
1.8.1 ESPL-G4P1-C1-A71 PCIe to four isolated PoE/PoE+ Module Request a quote
1.8.1 ESPL-G4P1-W1-A71 PCIe to four isolated PoE/PoE+ Module WT Request a quote
1.8.1 EMUI-0D01-W1-A71 USB to 32bit Digital I/O Module Request a quote
1.8.1 EMPA-I101-C1-A71 mPCIe to one MYDX Module Request a quote
1.8.1 EGPA-I201-C1-A71 M.2 to dual MYDX Module Request a quote
1.8.1 ELPP-0101-C2-A71 mPCIe to PCIe x 1 Module Request a quote
1.8.1 EZSS-0101-C1-A71 CFast to SATA Module Request a quote
1.8.1 E2SS-0101-C1-A71 mSATA to SATA Module Request a quote
1.8.1 EZSS-0102-C1-A71 SATADOM to SATA Module Request a quote
1.8.1 EMXX-0101-W1-A71 mPCIe to M.2 A key Module Request a quote
1.8.1 EMXX-0101-W2-A71 mPCIe to M.2 E key Module Request a quote
1.8.1 EMXX-0102-W1-A71 mPCIe to M.2 B key Module Request a quote
2.1.1 DLAP-201-JT2 NVIDIA Jetson TX2 Edge Inference Platform Request a quote
2.1.1 DLAP-4000 MiniITX Embedded Computer System for deep learning Request a quote
2.1.1 EGX-MXM-P2000 NVIDIA Pascal Quadro P2000 Embedded Graphics Module Request a quote
2.1.1 EOS-J-Series NVIDIA Jetson TX2-based Vision System Request a quote
2.1.2 Neon-1040 Intel® Atom™ Quad-Core Processor based Smart Camera Request a quote
2.1.2 NEON-i1000 series NVIDIA Jetson TX2-based industrial AI camera family for Edge Request a quote
2.1.2 NEON-i2000 series Intel Movidius Myriad-based AI camera family for the Edge Request a quote
2.1.3 NeuronBot Autonomous robot platform with high-power computer Request a quote
2.1.3 ROScube-I Embedded Real-Time Robotic Controller Request a quote
2.1.3 ROScube-I Starter Kit ROS Starter Kit with Intel Core Motherboard and MXM Graphics Request a quote
2.1.3 ROScube-X Embedded Robotic Controller with NVIDIA® Jetson AGX Xavier Request a quote
2.2.1.1 MXC-6401D/M4G Core i7-QM170 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 Request a quote
2.2.1.1 MXC-6402D/M4G Core i5-QM170 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 Request a quote
2.2.1.1 MXC-6403D/M4G Core i3-QM170 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 Request a quote
2.2.1.1 MXC-6301D Core i7-QM77 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 EOL, check MXC-6401D/M4G
2.2.1.1 MXC-6302D Core i5-QM77 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 EOL, check MXC-6402D/M4G
2.2.1.1 MXC-6303D Core i3-QM77 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 EOL, check MXC-6403D/M4G
2.2.1.1 MXC-6305D Celeron-QM77 fanless 2*Dport, 1*PCI 2*PCIe*8 or 1*PCIe*16 Request a quote
2.2.1.1 MXC-6311D Core i7-QM77 fanless 2*Dport, 1*PCI, 1*PCIe*16 EOL, check MXC-6401D/M4G
2.2.1.1 MXC-6312D Core i5-QM77 fanless 2*Dport, 1*PCI, 1*PCIe*16 EOL, check MXC-6402D/M4G
2.2.1.1 MXC-6313D Core i3-QM77 fanless 2*Dport, 1*PCI, 1*PCIe*16 EOL, check MXC-6403D/M4G
2.2.1.1 MXC-6321D Core i7-QM77 fanless 2*Dport, 3*PCI, 1*PCIe*16 EOL, check MXC-6401D/M4G
2.2.1.1 MXC-6322D Core i5-QM77 fanless 2*Dport, 3*PCI, 1*PCIe*16 EOL, check MXC-6402D/M4G
2.2.1.1 MXC-6323D Core i3-QM77 fanless 2*Dport, 3*PCI, 1*PCIe*16 EOL, check MXC-6403D/M4G
2.2.1.1 MXC-6101D Core i7-QM57 fanless 2*PCI Request a quote
2.2.1.1 MXC-6201D Core i7-QM57 fanless 1*PCI 1*PCIe Request a quote
2.2.1.1 MVP-6001/M4G Core i7-H110 fanless 2*Dport, 1*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6002/M4G Core i5-H110 fanless 2*Dport, 1*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6003/M4G Core i3-H110 fanless 2*Dport, 1*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6011 i7-6700TE H110 fanless 2*Dport, 3*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6012 i5-6500TE H110 fanless 2*Dport, 3*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6013 i3-6100TE H110 fanless 2*Dport, 3*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6015 i7-6700 H110 fanless 2*Dport, 3*PCI 1*PCIe*16 3*GbE Request a quote
2.2.1.1 MVP-6021 i7-6700TE Q170 fanless 2*Dport, 2*PCI 2*PCIe*8 3*GbE Request a quote
2.2.1.1 MVP-6022 i5-6500TE Q170 fanless 2*Dport, 2*PCI 2*PCIe*8 3*GbE Request a quote
2.2.1.1 MVP-6023 i3-6100TE Q170 fanless 2*Dport, 2*PCI 2*PCIe*8 3*GbE Request a quote

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acceed news

Nuvo-9166GC: AI controller from Acceed equipped for robust application
Nuvo-9166GC: AI controller from Acceed equipped for robust application

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.

Nuvo-10208GC: Robust dual GPU platform for high-end AI
Nuvo-10208GC: Robust dual GPU platform for high-end AI

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.

NRU-220S: AI platform supports assistance systems
NRU-220S: AI platform supports assistance systems

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.

NRU-51V+: 4-camera controller drives autonomous systems
NRU-51V+: 4-camera controller drives autonomous systems

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.

Nuvo-9160GC: GPU controller motorises AI and edge computing
Nuvo-9160GC: GPU controller motorises AI and edge computing

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.

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