AMD Ryzen AI MAX+ 388: A New Gaming-Focused Strix Halo APU
AMD is preparing to expand its Strix Halo lineup with a new Ryzen AI MAX+ SKU tailored for gamers who prioritize strong graphics performance without the need for high core counts. The upcoming Ryzen AI MAX+ 388, recently spotted in PassMark benchmarks, is set to feature 8 cores and 16 threads, paired with a fully enabled Radeon 8060S GPU boasting 40 RDNA 3.5 Compute Units (CUs).
High-End Graphics in a Mainstream Package
Previously, the full 40 CU configuration of the Radeon 8060S GPU was exclusive to AMD’s flagship Ryzen AI MAX+ 395, which combines 16 CPU cores and 32 threads with the same powerful integrated graphics. While the 395 is ideal for demanding productivity and AI workloads, its higher price and core count may be unnecessary for most gamers. The Ryzen AI MAX+ 388 bridges this gap by delivering top-tier integrated graphics alongside a more accessible 8-core, 16-thread CPU configuration.
Optimized for Modern Gaming Devices
The Ryzen AI MAX+ 388 is expected to appeal to gaming device manufacturers seeking a balanced solution for modern titles. With support for up to 128 GB of 256-bit LPDDR5x memory at speeds of 8000 MT/s, the platform offers ample bandwidth for both gaming and multitasking. Actual memory configurations will vary depending on OEM choices, allowing flexibility for different device categories.
Flexible Power and Thermal Options
AMD’s Ryzen AI MAX+ SoCs provide a configurable TDP range from 45 W to 125 W, with a default TDP of 55 W for the top SKUs. This flexibility enables OEMs to tailor the chip’s performance and efficiency to suit various form factors, from high-performance gaming tablets to compact laptops. For example, the SIXUNITED 14-inch tablet has already been seen utilizing this APU with a 65 W TDP, demonstrating the adaptability of the platform.
As AMD continues to innovate in the gaming and AI computing space, the Ryzen AI MAX+ 388 is positioned to become a popular choice for next-generation gaming devices, offering a compelling mix of CPU and GPU power in a single, efficient package.
