congatec launches its new 100 Watt ecosystem for embedded edge and micro servers at CIIF 2019 Shanghai. The ecosystem is...
congatec introduces a new SMARC 2.0 Computer-on-Module with NXP i.MX 8M Mini processor. The conga-SMX8-Mini offers highe...
This enables congatec to provide all 10 new processors on one COM Express module design the conga-TS370. A total of 14 processor module variants are now available on this single microarchitecture, offering extremely wide scalability. The spearhead in terms of computing power is the 45 watt 6-core module with 2.8 GHz Intel Xeon E-2276ME processor. It provides the highest embedded computing performance with integrated high-performance processor graphics currently available worldwide, while the 2.4 GHz Intel Celeron G4930E processor module with 35 watts sets the new price-performance benchmark.
Particularly noteworthy are the two 6-core congatec modules with a TDP of 25 watts offered on Intel Xeon E-2276ML and Intel Core i7-9850HL processors. They enable developers to create completely passively cooled embedded edge computing systems that can run up to 12 standalone virtual machines in parallel thanks to hyperthreading. This allows operation even in fully sealed systems, under the harshest environmental conditions and with the highest IP protection. The same applies to the two quad-core modules with Intel Xeon E-2254ML or Intel Core i3-9100HL processor as well as the Intel Celeron G4932E processor-based module, all featuring a partly configurable TDP of 25 watts.
"In the embedded edge computing segment, our OEM customers are now using such multicore platforms to consolidate several formerly separate systems on a single embedded edge computer. Hypervisor technology allows them to operate up to 12 virtual machines in parallel on one system," explains Andreas Bergbauer, Product Line Manager for COM Express Modules at congatec.
"These include real-time controllers (soft PLCs), Industry 4.0 gateways for tactile Internet via Time Synchronized Networking, IoT gateways for sending big data towards the cloud and central management systems, as well as vision systems, artificial intelligence (AI) and deep learning applications. In addition, there are software-defined networking functions such as intrusion prevention and detection systems that analyze data traffic parallel to the applications, thereby avoiding latencies that would arise with serial operation of analytics and applications."
Other applications besides embedded edge computing include, of course, classic high-end medical imaging systems and HMIs as well as high-end gaming, infotainment and digital signage systems that require best-in-class computing power and throughput on a single die in tandem with the Intel graphics technology.
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