AMD Ryzen 9000 “Strix Point” CPUs with Zen 5 Cores, RDNA 3+ GPU Set for H2 2024 Launch

AMD is developing the Ryzen 9000 "Strix Point" mobile processors featuring upgraded CPU, GPU, and NPU capabilities, set to launch later this year alongside Zen 5 core architecture and RDNA 3+ graphics architecture for improved power efficiency.

The Ryzen 9000 "Strix Point" mobile processors will feature upgraded CPU, GPU, and NPU capabilities, promising improved performance and efficiency.
The introduction of the Zen 5 architecture into the mobile space simultaneously with the desktop market will provide a seamless transition for users.
The RDNA 3+ graphics architecture will offer dGPU-level gaming performance while operating on a significantly lower power budget, addressing a notable challenge with AMD's current GPUs.

AMD is gearing up for the launch of its next-generation Ryzen 9000 processors, which will feature the highly anticipated Zen 5 core architecture. Alongside the desktop lineup known as “Granite Ridge,” AMD is also planning to release the Ryzen 9000 “Strix Point” mobility family. While details about the mobile counterparts are scarce, AMD provided some insights during an “AI PC Summit” in Beijing.

The Ryzen 9000 “Strix Point” mobile processors are set to debut later this year and will come equipped with upgraded CPU, GPU, and NPU capabilities. The Zen 5 architecture will make its entrance into the mobile space simultaneously with the desktop market. Additionally, the RDNA 3+ graphics architecture will also be introduced, promising dGPU-level gaming performance while operating on a significantly lower power budget.

One notable challenge with AMD’s current Radeon RX 7000 GPUs is their high power consumption, which often prevents them from reaching frequencies of 3GHz or higher. However, RDNA 3+ is expected to address this issue by improving clock scaling and power efficiency, enhancing the performance of AMD’s latest graphics architecture.

It’s important to note that RDNA 3+ is not a generational upgrade but rather an optimization of RDNA 3. This means that it will build upon the existing architecture to deliver even better results.

The Ryzen 9000 (9040) mobile family will consist of two designs: monolithic “Strix Point” and modular “Strix Halo.” The former will utilize a hybrid core architecture, combining up to 12x Zen 5 and Zen 5c cores with up to 16 RDNA 3+ Compute Units on the GPU side. On the other hand, Strix Halo will offer 16 cores (Zen 5) supported by 64MB of L3 cache and over 20 RDNA 3+ GPU units. The Strix Halo design is particularly intriguing as it resembles a PS5-sized APU, potentially displacing many low and midrange dGPUs. However, AMD has only officially confirmed the presence of Strix Point on its roadmap.

In addition to the CPU and GPU upgrades, the Ryzen 9000 “Strix” processors will also feature an enhanced NPU. This upgrade will deliver a remarkable 3x improvement in generative AI performance compared to the previous Hawk Point generation. The XDNA 2 chip will play a crucial role in achieving this boost, increasing the AI throughput of Strix Point to nearly 50 TOPs.

Overall, AMD’s Ryzen 9000 “Strix Point” CPUs with Zen 5 cores and RDNA 3+ GPUs are poised to make a significant impact in the market when they launch in the second half of 2024. With improved performance, power efficiency, and AI capabilities, these processors are set to elevate the gaming and mobile computing experience to new heights.

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Background Information

About AMD:

AMD, a large player in the semiconductor industry is known for its powerful processors and graphic solutions, AMD has consistently pushed the boundaries of performance, efficiency, and user experience. With a customer-centric approach, the company has cultivated a reputation for delivering high-performance solutions that cater to the needs of gamers, professionals, and general users. AMD's Ryzen series of processors have redefined the landscape of desktop and laptop computing, offering impressive multi-core performance and competitive pricing that has challenged the dominance of its competitors. Complementing its processor expertise, AMD's Radeon graphics cards have also earned accolades for their efficiency and exceptional graphical capabilities, making them a favored choice among gamers and content creators. The company's commitment to innovation and technology continues to shape the client computing landscape, providing users with powerful tools to fuel their digital endeavors.

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Technology Explained

APU: An APU, or Accelerated Processing Unit, is a type of processor that combines a CPU and a GPU on a single chip. This type of processor is becoming increasingly popular in the computer industry due to its ability to provide both computing and graphics processing power in a single package. APUs are used in a variety of applications, from gaming PCs to high-end workstations. They are also used in embedded systems, such as those found in smartphones and tablets. The combination of CPU and GPU on a single chip allows for more efficient power consumption and better performance than traditional CPUs. Additionally, APUs are often used in conjunction with other components, such as RAM and storage, to create powerful and efficient systems.

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Compute Units: Compute Units (CUs) are a type of processor technology used in the computer industry. They are designed to provide high-performance computing capabilities for a variety of applications. CUs are typically used in graphics processing units (GPUs) and are responsible for the majority of the processing power in modern gaming systems. CUs are also used in other areas of the computer industry, such as artificial intelligence, machine learning, and data analysis. CUs are designed to be highly efficient and can provide significant performance gains over traditional CPUs. They are also capable of handling multiple tasks simultaneously, making them ideal for applications that require high levels of parallel processing.

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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L3 cache: L3 cache is a type of computer memory that is used to store frequently used data and instructions. It is located between the processor and main memory, and is used to reduce the amount of time it takes for the processor to access data from main memory. This helps to improve the overall performance of the computer. In the computer industry, L3 cache is used in many applications, such as gaming, video editing, and web browsing. It can also be used to improve the performance of servers and other high-performance computing tasks. By providing faster access to data, L3 cache can help to reduce the amount of time it takes for a computer to complete a task.

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NPU: NPU, or Neural Processing Unit, is a type of specialized processor that is designed to handle complex artificial intelligence tasks. It is inspired by the structure and function of the human brain, with the ability to process and analyze large amounts of data simultaneously. In the computer industry, NPU technology is being used in various applications such as speech recognition, image and video processing, and natural language processing. This allows computers to perform tasks that were previously only possible for humans, making them more efficient and intelligent. NPU technology is also being integrated into smartphones, self-driving cars, and other devices, making them smarter and more responsive to user needs. With the increasing demand for AI-driven technology, the use of NPU is expected to grow and revolutionize the way we interact with computers in the future.

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Radeon: AMD Radeon, a product line by Advanced Micro Devices (AMD), consists of graphics processing units (GPUs) recognized for their strong performance in gaming, content creation, and professional applications. Powered by innovative technologies like the RDNA architecture, Radeon GPUs deliver efficient and powerful graphics processing. The brand also supports features like FreeSync, enhancing visual fluidity and reducing screen tearing during gaming. Moreover, AMD Radeon GPUs embrace real-time ray tracing for heightened realism in lighting and reflections. With a balance between price and performance, Radeon competes with NVIDIA's GeForce graphics cards and remains a popular choice for a wide range of users.

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RDNA: RDNA (Radeon DNA) is a graphics architecture developed by Advanced Micro Devices (AMD) for its Radeon series of graphics cards. It's designed to deliver improved performance, power efficiency, and advanced features for gaming and graphics-intensive applications. RDNA introduces a new compute unit design that enhances the efficiency of processing tasks, resulting in better performance per watt compared to its predecessor, GCN (Graphics Core Next). RDNA also introduces hardware-based ray tracing capabilities, allowing for more realistic lighting, shadows, and reflections in supported games. With its scalable design, RDNA architecture addresses the demands of modern gaming while aiming to provide a more immersive and visually impressive experience.