CPU & Microcontroller IP Cores

Discover CPU and Microcontroller IP for embedded processing, real-time control, and general-purpose computation in semiconductor designs. This category includes processor IP used in SoCs, ASICs, and embedded platforms requiring software programmability, deterministic control, and scalable compute performance.

Compare CPU and Microcontroller IP by ISA, bit width, safety support, performance level, memory architecture, debug features, ecosystem maturity, and target applications. These IP cores are widely used in automotive, industrial, IoT, consumer, and communication chips.

 
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Compare 440 CPU & Microcontroller IP Cores from 72 vendors

Compare CPU & Microcontroller IP from leading vendors

Use Semi IP Hub to browse CPU & Microcontrollers IP cores, review available implementations, and compare vendor offerings for your next semiconductor project.

Frequently asked questions about CPU & Microcontroller IP cores

What is CPU & Microcontroller IP?

CPU & Microcontroller IP is a reusable semiconductor IP block used in SoCs and ASICs to provide this function with faster integration, better reuse, and lower implementation risk.

What capabilities does CPU & Microcontroller IP typically provide?

Typical capabilities include production-ready implementation, configurable features, verification collateral, subsystem integration support, and reuse across multiple silicon programs.

Where is CPU & Microcontroller IP used?

CPU & Microcontroller IP is used in semiconductor designs that need this capability with proven IP, predictable integration, and faster time-to-market.

How do I choose CPU & Microcontroller IP?

You should evaluate feature coverage, performance, power consumption, verification maturity, integration complexity, ecosystem fit, and process node compatibility.

Why use dedicated CPU & Microcontroller IP instead of building it from scratch?

Using proven CPU & Microcontroller IP reduces design effort, lowers technical risk, shortens schedules, and improves integration consistency across chip programs.

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