Hardware Intelligence

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Infineon Details MCU Roadmap for Edge AI and IoT Deployment

Infineon's leadership highlights the expanding role of edge AI and machine learning across consumer and industrial embedded devices. For hardware teams, modern MCUs require balancing heterogeneous processing cores with specialized, low-power neural accelerators.

EE Times게시됨 1일 전

Google TPUv7 Ironwood Benchmarks Challenge NVIDIA Blackwell on Inference Cost-Per-Dollar: Sourcing and Architecture Evaluation

Google's TPUv7 Ironwood is gaining significant external traction, delivering competitive or superior performance-per-dollar against NVIDIA's latest B200, B300, and GB300 systems on realistic agentic inference benchmarks. This commercial externalization and deep open-source software integration present alternative high-performance options for datacenter hardware buyers and AI infrastructure planners.

SemiAnalysis게시됨 1일 전

Infineon Leadership Reflects on a Decade of OktoberTech and Strategic Shifting Toward Physical AI Platform Design

Infineon leaders Andreas Urschitz and Maher Matta reflect on a decade of OktoberTech, highlighting how the event has evolved into a global showcase for physical AI, power management, and automotive tech. For hardware teams, this trajectory underscores a broader shift toward tighter component integration across edge computing and high-efficiency power architectures.

EE Times게시됨 1일 전