GPU IP Cores

GPU IP cores (Graphics Processing Unit IP) are specialized processors designed to accelerate graphics rendering, parallel computing, and increasingly AI workloads in modern SoC and ASIC designs.

Embedded graphics IP cores are widely used in mobile devices, automotive systems, consumer electronics, and industrial applications, providing high-performance visualization and compute capabilities.

This catalog allows you to compare GPU IP cores from leading vendors based on performance, power efficiency, API support (OpenGL, Vulkan, DirectX), and process node compatibility.

Whether you are targeting embedded graphics, automotive displays, or compute acceleration, you can find the right GPU IP for your design.

 
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Compare 88 GPU IP Cores from 12 vendors

What is a GPU IP core?

A GPU IP core is a reusable hardware block designed to accelerate graphics processing and parallel computation in SoCs and ASICs. It handles tasks such as image rendering, video processing, and increasingly AI and compute workloads.

GPU IP cores are optimized for massively parallel operations, making them essential for modern applications that require high throughput and efficient data processing.

Main types of GPU IP cores

Embedded GPU IP

Embedded GPU IP is used in mobile devices, consumer electronics, and IoT systems to provide efficient graphics rendering with low power consumption.

Automotive GPU IP

Automotive-grade GPU IP is designed for reliability and safety, supporting applications such as digital dashboards, infotainment systems, and advanced driver-assistance systems (ADAS).

Compute-oriented GPU IP

Some GPU IP cores are optimized for general-purpose compute (GPGPU), enabling acceleration of parallel workloads such as AI inference, image processing, and scientific computing.

Key features of GPU IP cores

  • Parallel processing architecture for high throughput
  • Support for graphics APIs such as OpenGL, Vulkan, and DirectX
  • Energy-efficient performance for embedded systems
  • Scalability across different performance levels
  • Integration with display and video pipelines

How to choose a GPU IP core

Selecting the right GPU IP depends on your target application and design constraints:

  • Performance requirements (graphics throughput, compute capability)
  • Power consumption and thermal constraints
  • Supported APIs and software ecosystem
  • Target application (mobile, automotive, industrial, AI)
  • Process node compatibility and silicon area

Applications of GPU IP cores

  • Mobile devices (smartphones, tablets)
  • Automotive systems (infotainment, digital cockpit, ADAS)
  • Consumer electronics (smart TVs, AR/VR devices)
  • Industrial systems (visualization, HMI)
  • AI and compute acceleration

Compare GPU IP cores from leading vendors

This catalog provides access to a wide range of GPU IP cores from leading semiconductor IP providers.

Use filters to compare solutions based on performance, power efficiency, API support, and integration requirements to find the best GPU IP for your design.

Frequently asked questions about GPU IP cores

What is a GPU IP core?

A GPU IP core is a hardware block used in SoCs and ASICs to accelerate graphics rendering and parallel computation.

What is the difference between a GPU and a CPU?

CPUs are optimized for general-purpose tasks, while GPUs are designed for parallel processing, making them more efficient for graphics and compute-intensive workloads.

What APIs are supported by GPU IP cores?

GPU IP cores typically support APIs such as OpenGL, Vulkan, and sometimes DirectX, depending on the target platform.

Where are GPU IP cores used?

They are used in mobile devices, automotive systems, consumer electronics, industrial applications, and AI workloads.

How do I choose a GPU IP core?

Key criteria include performance, power efficiency, supported APIs, target application, and integration constraints.

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