AMD Zen 5 Strix Halo: Next-Gen Console GPU Packs 2560 Cores, 32MB MALL & 16 Channel LPDDR5

AMD has been stirring up the gaming laptop market with its Zen 5 mobile flagship, the Strix Halo. This powerful chiplet-based processor is set to deliver console-level graphics and performance to some of the fastest gaming Laptops on the market.

The Strix Halo will feature two Zen 5 CCDs, each packing 8 cores, and a Graphics Compute Die (GCD) with a potent RDNA 3.5 GPU. What sets this processor apart is that it will be the first Ryzen APU to have a separate iGPU die. This strategy, adopted by Intel with its Meteor Lake processors, allows for better performance and efficiency by placing the CPU, GPU, and IO on disaggregated tiles.

With 16x Zen 5 cores and 64MB of L3 cache (32MB x2), the Strix Halo’s CCDs (CPU dies) are expected to be the same as the desktop variants. However, the monolithic mobility dies will feature half the L3 cache, with 16MB per die. The GPU will boast 40 RDNA 3.5 Compute Units, or 2560 shaders (stream processors), clocked between 2-3GHz, and supported by 32MB of Infinity Cache. This marks the first time a large L3 cache is included on an integrated mobile GPU.

One exciting feature of the Strix Halo is its potent NPU based on the XDNA 2 architecture. The NPU on its predecessor, the Strix Point, was capable of delivering 45 TOPs, so we can expect even higher performance from this behemoth. Overall, the processor is expected to deliver around 100 TOPs of AI performance with the CPU and GPU combined.

In terms of memory, the Strix Halo processors will feature a complex 16-channel LPDDR5 memory, each 16-bit wide. This, along with the 32MB L3 cache and the 16-ch memory controllers, will ensure that the 40 CU RDNA 3.5 GPU is well-fed.

While there isn’t much new information available about Strix Point or Granite Ridge, it’s worth noting that the Ryzen 9000 desktop processors will feature 16x Zen 5 cores (32 threads) across two 4nm dies. The IO logic will be housed on a 6nm die, similar to Raphael. The iGPU will feature 2x RDNA 3 CUs, and the SoC will offer 28 PCIe Gen 5 lanes. Granite Ridge, on the other hand, will not include an NPU unit.

In summary, AMD’s Strix Halo is set to revolutionize the gaming laptop market with its powerful Zen 5 mobile flagship processor. With its impressive CPU and GPU performance, along with features like a separate iGPU die and a potent NPU, the Strix Halo is sure to deliver an exceptional gaming experience. Gamers can look forward to faster and more immersive gameplay on their laptops thanks to AMD’s latest innovation.

Background Information

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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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About Intel:

Intel Corporation, a global technology leader, is for its semiconductor innovations that power computing and communication devices worldwide. As a pioneer in microprocessor technology, Intel has left an indelible mark on the evolution of computing with its processors that drive everything from PCs to data centers and beyond. With a history of advancements, Intel's relentless pursuit of innovation continues to shape the digital landscape, offering solutions that empower businesses and individuals to achieve new levels of productivity and connectivity.

  

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Technology Explained

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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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chiplet: Chiplets are a new type of technology that is revolutionizing the computer industry. They are small, modular components that can be used to build powerful computing systems. Chiplets are designed to be used in combination with other components, such as processors, memory, and storage, to create a complete system. This allows for more efficient and cost-effective production of computers, as well as more powerful and versatile systems. Chiplets can be used to create powerful gaming PCs, high-end workstations, and even supercomputers. They are also being used in the development of artificial intelligence and machine learning applications. Chiplets are an exciting new technology that is changing the way we build and use computers.

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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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iGPU: An integrated Graphics Processing Unit (iGPU) is a component built into a computer's central processing unit (CPU) or system-on-chip (SoC) that handles graphical tasks. Unlike dedicated graphics cards, which are separate components, an iGPU shares system resources with the CPU, allowing for basic graphics capabilities without the need for an additional card. While typically less powerful than dedicated GPUs, iGPUs are energy-efficient and well-suited for everyday computing tasks

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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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LPDDR5: LPDDR5 is a type of computer memory technology that is used in many modern computers. It stands for Low Power Double Data Rate 5 and is the latest version of the LPDDR memory standard. It is a type of dynamic random access memory (DRAM) that is designed to be more power efficient than its predecessors. It is used in many modern laptops, tablets, and smartphones to provide faster performance and longer battery life. LPDDR5 is also used in some high-end gaming PCs and workstations to provide faster loading times and smoother gaming experiences. It is also used in some servers and data centers to provide faster data processing and storage.

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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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PCIe: PCIe (Peripheral Component Interconnect Express) is a high-speed serial computer expansion bus standard for connecting components such as graphics cards, sound cards, and network cards to a motherboard. It is the most widely used interface in the computer industry today, and is used in both desktop and laptop computers. PCIe is capable of providing up to 16 times the bandwidth of the older PCI standard, allowing for faster data transfer speeds and improved performance. It is also used in a variety of other applications, such as storage, networking, and communications. PCIe is an essential component of modern computing, and its applications are only expected to grow in the future.

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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.

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SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

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