We can all personally feel that the era of AI has arrived. From hardware chips to software applications, major manufacturers are sprinting towards the development of AI at full speed.
Recently, AMD held a grand AI PC Innovation Summit in Beijing, China, showcasing the wide range of applications for AMD AI across various industries and emphasizing AMD's strong commitment to the Chinese market.
The upcoming Windows 12 will fully integrate AI technology, with AI deeply involved in system performance tuning and operational assistance! For instance, there's the super-resolution technology, which utilizes NPU hardware and AI algorithms to render low-resolution games and videos into high-resolution, thereby enhancing image quality. Additionally, ChatGPT 5.0 will also be embedded in Windows 12, bringing users the next generation of AI experience.
This is why Microsoft, for the first time, has set requirements for the AI computational power of processors (no less than 40 TOPS). Currently, the only desktop processors that meet this requirement are AMD's Ryzen 8000G series.
In order to deliver exceptional AI experiences on PCs, AMD leverages three computing engines: the CPU based on the "Zen" architecture, integrated or discrete GPUs based on the AMD RDNA architecture, and the AI engine based on AMD XDNA, namely the NPU.
In our initial tests of the Ryzen 8000G processor, we used DDR5 memory at 6400MHz. Considering the integrated GPU's need for high-frequency memory and the fact that the price of DDR5 7200MHz memory, featuring SK Hynix A-Die chips, has dropped to under 800 CNY, we'll be retesting the Ryzen 7 8700G's integrated graphics performance using high-frequency DDR5 memory at 8000MHz to see what peak performance it can achieve. Besides its powerful integrated graphics capabilities, the Ryzen 7 8700G also incorporates the Ryzen AI engine. Its Artificial Intelligence Neural Processing Unit (NPU), combined with the CPU and GPU, delivers up to 39 TFLOPS of AI compute power, allowing it to execute local AI workloads without relying on the internet or cloud services.
Currently, over 100 AI applications or functionalities have integrated support for the AMD Ryzen AI engine. These include 4 Microsoft studio effects, over 50 Adobe software functionalities, more than 25 TOPAZ LABS software functionalities, over 20 DaVinci software functionalities, and over 50 various mainstream productivity software and functionalities. According to AMD's projections, by the end of this year, over 150 independent software vendors (ISVs) are expected to support AMD AI. This rapid development of the Ryzen AI ecosystem indicates its increasing coverage across applications that we use in our daily work.
