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Ruggedised GPU-Computing Platform – 9th/8th Gen Intel Core Processor – Supports NVIDIA RTX 30 Series up to RTX 3080 – Up to 128GB ECC/Non-ECC DDR4 – 2x PCIe x16 & 2x PCIe x8 Slots – Dual M.2 B Key & Full-Size mPCIe Expansion – 8V to 48V DC Input with Ignition Control – Patented Thermal & Damping Design – 3 Grms Vibration Resistance – -25°C to 60°C Temperature Operation
Who We Are
Impulse Embedded is a leading provider of Industrial computing systems and solutions. Our customers rely on us to provide the best embedded computing products and solutions for the challenges presented by today’s industrial demands. Together with our global manufacturing partners we provide world-class innovative embedded computing and automation products and solutions suitable for multiple industrial market sectors.
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Neousys' Nuvo-8108GC-XL is a rugged edge AI platform built to support the NVIDIA RTX 3000 series GPU cards, including the RTX 3080. Offering GPU performances of up to 29.8 TFLOPS in FP32 calculations, the Nuvo-8108GC/XL is perfect for Edge AI inference and other GPU-accelerated computing applications.
With the demand for GPU-driven computing on the increase and being applied in areas like autonomous driving, vision inspection and surveillance, users have been asking for more and more computational power. Neousys have designed a way to fit more power into a small footprint by using their patented heat dissipation design, damping brackets and the patent-pending GPU press bar.
In addition to supporting the NVIDIA RTX 3000 GPU cards, the Nuvo-8108GC-XL also features a workstation-grade Intel C246 chipset that supports Intel Xeon E, 9th or 8th Gen Core multi-threaded processors, four SO-DIMM memory slots supporting up to 128GB EEC or non-EEC DDR4 memory modules and a M.2 NVMe socket offering the fastest disk performance, one 2.5” hot-swap HDD/SSD bay and one internal 2.5" HDD/SSD bay with support for RAID 1/0.
The Nuvo-8108GC-XL also features front-accessible dual Gigabit Ethernet ports and 8x USB3.1 ports, all with screw lock cable mechanisms for added security. There are additional breakout ports provided on the case to suit a variety of expansion card options that the extra two PCIe x16 and two PCIe x8 slots can offer.
Impulse also offers various in-house design services and can supply any of the Nuvo-8108GC-XL series fully configured and tested in our UK engineering facility with your choice of processor, memory, storage, peripheral cards and operating system.
For more information about the Nuvo-8108GC-XL GPU computing platform, don't hesitate to get in touch with our technical sales team on +44 (0)1782 337 800 or alternatively submit an enquiry.
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RMA
In order to process returned goods, Impulse Embedded Limited uses an internal RMA system. Before returning goods for any reason, please contact Impulse Embedded Limited (returns@impulse-embedded.co.uk) to request an RMA number. Please confirm the reason for the return of the goods, providing the Serial Number, Product Code, and Impulse Embedded Limited Invoice Number (if known).
When returning goods, please ensure they are suitably packed so as to avoid damage, are in the original packaging, along with all accessories, with the outer packaging marked with the RMA number. It is recommended that you use a signed delivery service, as goods lost in transit are not the responsibility of Impulse Embedded Limited.
Please do not write the RMA number on the goods or on the original packaging. Impulse Embedded Limited may refuse returned goods and return them if they arrive without an RMA number, or not in the original packaging.
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Neousys 9th/8th Gen Intel Core i9/i7/i5/i3 LGA1151 Industrial Edge AI XL GPU Computer
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NUVO-8108GC-XL
9th/8th Gen Intel Core i9/i7/i5/i3 LGA1151 Industrial Edge AI XL GPU Computer
GPU computer custom built for autonomous vehicle control system
WMG, University of Warwick’s Intelligent Vehicles research group works with a variety of industrial partners to address challenges presented by the concept of autonomous vehicles. Operating within this department is a multi-million pound funded project ‘Cloud assisted real time methods for autonomy’ (CARMA), working in collaboration with Jaguar Land Rover and EPSRC (Engineering and Physical Sciences Research Council).