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September 2025 Beckhoff Upgrades Industrial PCs
SAVAGE, MN — Since the begin- ning, PC-based control technolo- gy from Beckhoff has benefited from a deliberate convergence of automation and IT standards. Current examples include the use of the latest industry-standard processor generations, high-qual- ity, demand-optimized flash memory, and the long-term avail- ability version of Windows 11. The latest CPU generations
costs while maintaining the same computing power depend- ing on the device. The new Intel Core i proces-
sors, which have a structure size of 10 nm, offer particularly high
potential for innovation with a significant leap in performance and efficiency. In addition, Twin- CAT Core Boost technology from Beckhoff can be used to further elevate system performance for
the most demanding applica- tions.
In the case of the ultra-com-
pact C6025 and C6030 Industri- al PCs (IPCs) with 11th genera- tion processors, very high per- formance can even be imple- mented in an extremely small form factor. With TwinCAT Core Boost,
include Intel® Atom® x6 proces- sors, the 11th generation of Intel Core™ i and Core i U processors, the 12th and 13th generation of Intel Core i processors, and the 5th generation of Intel Xeon® processors. These deliver signifi- cant performance increases and result in more powerful con- trollers or reduced hardware
the clock frequency of the proces- sor cores can be configured indi- vidually as required, so they no longer all have to be clocked at the same rate. The clock rate can be set for each core to achieve real-time transmission and user-
mode applications. Contact: Beckhoff Automa-
Industrial PCs.
tion, 13130 Dakota Avenue, Sav- age, MN 55378 % 952-428-7321 E-mail:
s.novacek@
beckhoff.com Web:
www.beckhoffautomation.com
See at The Battery Show, Booth 3511
ROHM Semi Develops AI-Equipped
MCU SANTA CLARA, CA — ROHM Semiconductor has developed AI-equipped MCUs (AI MCUs) — the ML63Q253x-NNNxx and ML63Q255x-NNNxx — that en- able fault prediction and degra- dation forecasting using sensing data in a wide range of devices, including industrial equipment such as motors. These MCUs in- dependently execute both learn- ing and inference without rely- ing on a network connection. Equipment manufacturers
are seeking solutions that allow real-time monitoring of opera- tional status while avoiding the drawbacks of network latency and security risks. Standard AI processing models, however, typ- ically depend on network con- nectivity and high-performance CPUs, which can be costly and difficult to install. ROHM’s new AI MCUs en-
able standalone AI learning and inference directly on the device. The new products adopt a simple 3-layer neural network algo- rithm to implement ROHM’s proprietary on-device AI solu- tion, Solist-AI™. This enables the MCUs to perform learning and inference independently, without the need for cloud or
network connectivity. Contact: ROHM Semicon-
ductor USA, 2323 Owen Street,
Santa Clara, CA 95054 % 408-720-1900 E-mail:
hmueller@rohmsemiconductor.com Web:
www.rohmsemiconductor.com
See at SMTA Guadalajara, Booth 922
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