Graphics
Processing
PowerVR-based GPUs delivering high performance, low power, and cutting-edge features, from wearables to cloud gaming.
STILL THE ORIGINAL; STILL THE BEST
With over 30 years and 14 generations of PowerVR development, Imagination pioneered parallel GPU architecture for power-constrained devices. Whether industrial UI or cloud gaming, our scalable GPUs set the standard.
Discover our GPU IP
OUR LATEST GRAPHICS INNOVATIONS
SAVE 35% POWER WITH OUR BURST PROCESSORS
UP TO 200 TOPS IN AI ACCELERATION
THE ORIGINAL POWER-EFFICIENT MOBILE RAY TRACING
WINDOWS & CLOUD-READY WITH DXD GPU
WHY CHOOSE IMAGINATION GPU?
FLEXIBLE GRAPHICS & COMPUTE FOR MODERN WORKLOADS
This flexibility supports a wide range of use cases, from automotive UI/UX and smart displays to cloud gaming and XR applications, all while maximising silicon efficiency.
BEST-IN-CLASS POWER EFFICIENCY
This makes them ideal for edge AI, wearables, consumer electronics, and power-sensitive mobile applications.
GRAPHICS IP FOR GAMING – FROM MOBILE TO CLOUD
Whether you’re designing for AAA cloud gaming, mid-range smartphones, or portable consoles, we offer scalable cores to suit your performance targets.
TRUSTED IP WITH AUTOMOTIVE-GRADE SAFETY
With over two decades of deployment in automotive environments, we continue to lead in GPU IP for safety-critical and in-vehicle applications.
RISC-V READY
We provide comprehensive tools, documentation, and support to help RISC-V developers bring graphics and compute functionality to embedded and edge platforms.
MEET THE IMAGINATION GPU FAMILY
Imagination’s E-Series GPU IP overcomes the performance, memory, and power limits of edge AI. Designed for next-gen applications across mobile, automotive, desktop, and consumer markets, E-Series combines high performance with the flexibility and programmability of GPU acceleration—enabling more adaptable and future-proof edge system designs.
Imagination’s D-Series takes GPU density, efficiency and performance to a new level and adds innovative extras that help our partners succeed in competitive markets – whether that’s enabling automotive chip designers to achieve ASIL-B functional safety without overhead, or halving the area penalty of mobile ray tracing.
Imagination’s efficient GPUs improve user experiences across a wide range of consumer devices. IMG CXM is Imagination’s latest, highly efficient GPU, available in a variety of configurations to ensure the best fit for your project.
B-Series covers all of Imagination’s markets, scaling from low-area configurations for set-top boxes right the way through to high-performance solutions for desktop. B-Series introduces Imagination’s innovative multi-core technology for boosting performance or adding extra multitasking flexibility to the GPU.
IMG A-Series contains Imagination’s smallest GPU IP and is perfect for industrial settings, consumer devices and entry-level mobile. Optimised for power efficiency, A-Series delivers consistent, sustainable frame rates without clock throttling.
ROBUST DEVELOPER SOFTWARE & COMMUNITY SUPPORT
PowerVR SDK
PowerVR TOOLS
OPEN SOURCE DRIVERS
READY TO POWER YOUR NEXT PRODUCT WITH AN INDUSTRY-LEADING GPU?
Let’s talk about how Imagination can help you deliver scalable graphics, AI, and compute acceleration, optimised for your market.
Talk to our Sales TeamFREQUENTLY ASKED QUESTIONS
A GPU, or Graphics Processing Unit, executes several independent instructions at the same time via numerous parallel pipelines. GPUs are designed to handle the repetitive and concurrent computations needed in graphics processing, such as computing the position of objects in a 3D scene and the lighting, shadows, and reflections associated with them. They are also ideally suited to some AI or machine learning activities such as denoising and upscaling.
The GPU is often connected to the CPU and memory through a high-speed bus, allowing data to be exchanged swiftly between the two units. When a programme sends a request to the GPU for processing, the appropriate data is placed into the GPU’s memory. The data is subsequently assigned to a GPU core, which contains the specialised, parallelised units that process the instructions. Once all essential processing is done, the results are either returned to the CPU and memory for additional processing or displayed on a monitor.
GPUs and CPUs are both types of processors that perform calculations in a computer, but they are optimised for different types of tasks.
A GPU, or Graphics Processing Unit, is a specialised processor that is optimised for handling large numbers of independent calculations in parallel and simultaneously. Their cores are well-suited for tasks such as rendering 3D graphics, video encoding, and machine learning.
A CPU, or Central Processing Unit, is a general-purpose processor that is responsible for executing most of the instructions that make up a computer program. It is optimised for performing a wide range of tasks, including running operating systems, executing software applications, and performing basic arithmetic and logic operations. CPUs can have one or more cores that are used for sequential processing which is good for programs where the results of a previous instruction feed into subsequent instructions.
In terms of performance, GPUs are generally faster than CPUs for tasks that require parallel processing, such as rendering 3D graphics or certain artificial intelligence programs. However, CPUs are generally better suited for tasks that require sequential processing, such as running software applications or performing basic arithmetic and logic operations.
GPUs are used in a wide range of products and applications, such as:
- Desktop and laptop computers: Most modern computers include a dedicated GPU, which is used to render graphics, play games, and perform other visually intensive tasks.
- Gaming consoles: Gaming consoles, such as the Xbox and PlayStation, include specialised GPUs designed to deliver high-quality graphics and immersive gaming experiences.
- Mobile devices: Many modern smartphones and tablets include a GPU, which is used to render high-quality images and video, and to power mobile games.
- Automotive applications: GPUs are used in the automotive industry to drive the infotainment systems and perform autonomous vehicles functions.
