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Data Center News > Blog > Edge Computing > OnLogic launches Karbon 520 for edge AI in harsh environments
Edge Computing

OnLogic launches Karbon 520 for edge AI in harsh environments

Last updated: September 26, 2025 1:30 pm
Published September 26, 2025
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OnLogic launches Karbon 520 for edge AI in harsh environments
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OnLogic has introduced the discharge of the ultra-rugged Karbon 520 Collection, a line of business computer systems designed to fulfill robust environmental requirements, powered by Intel Core Extremely processors.

With purposes together with industrial automation, robotics and autonomous techniques, the Karbon 520 Collection gives scalability and suppleness.

Options of the module are built-in AI, DDR5 reminiscence as much as 96 GB; NVIDIA MXM AI GPU assist and an working temperature vary from -40°C as much as 70° C.

“Enhanced by Intel Core Extremely’s ruggedization, large temperature assist and built-in NPU, the OnLogic Karbon 520 Collection is a perfect answer for demanding edge AI use instances in industrial and cell environments,” says Michael Masci, vice chairman, product administration of the Edge Computing Group, Intel Company. “From fleet administration to manufacturing unit automation, this system is a implausible instance of {hardware} engineered to handle these demanding wants.” 

The system can be rugged, that includes fanless design, MIL-STD-810H shock and vibration testing, in addition to automotive energy enter for cell purposes. Growth of the ModBay & PCIe permits for I/O flexibility and absolutely bespoke configurations.

Karbon 520 Series is an effective match for purposes in fleet administration, manufacturing unit automation and healthcare market segments with intensive EMC testing to be used in delicate or harsh environments.

Associated

edge AI  |  edge computing  |  manufacturing unit automation  |  Intel  |  OnLogic

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See also  Nscale moves into power with AIPCorp deal, building 8GW U.S. AI campus to bypass energy bottlenecks
TAGGED: edge, Environments, harsh, Karbon, launches, OnLogic
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