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AMD Ryzen AI MAX 500 “Medusa Halo” SoCs: LPDDR6 Memory and Next‑Gen Performance

Explore AMD's upcoming Ryzen AI MAX 500 “Medusa Halo” SoCs, featuring Zen 6 CPUs, RDNA 5 GPUs and groundbreaking LPDDR6 memory delivering up to 460 GB/s bandwidth.
10 February 2026 by
TechStora Editorial Board

Overview

AMD’s next‑generation Ryzen AI MAX series, codenamed “Medusa Halo,” is slated for a 2027‑2028 launch. Building on the Strix Halo and Gorgon Halo platforms, Medusa Halo will introduce Zen 6 CPU cores, RDNA 5 GPU graphics, and LPDDR6 memory, positioning the SoC as a premium solution for AI‑focused PCs and gaming laptops.

Roadmap & Timeline

  • 2024‑2025: Release of first‑gen Strix Halo (LPDDR5, up to 8,000 MT/s).
  • 2025: Introduction of Gorgon Halo (Ryzen AI MAX 400) with higher clocks and 8,533 MT/s LPDDR5.
  • 2027‑2028: Launch of Medusa Halo (Ryzen AI MAX 500) featuring Zen 6, RDNA 5 and LPDDR6.

CPU & GPU Architecture

Medusa Halo will offer up to 24 Zen 6 cores, delivering a substantial uplift in compute performance over the previous generation. GPU options will vary:

  • Entry‑level SoCs: RDNA 3.5 integrated graphics.
  • Premium “Halo” SoCs: Full‑blown RDNA 5 iGPU configurations.

Memory Advances – LPDDR6

JEDEC confirms LPDDR6 speeds of 14,400 MT/s on a 24‑bit wide channel, providing 38.4 GB/s per module. With a 256‑bit memory bus, Medusa Halo can achieve roughly 460 GB/s bandwidth—an 80 % increase over the Strix Halo’s 256 GB/s.

Performance Impact

The bandwidth boost will dramatically improve GPU‑bound workloads, AI inference, and high‑resolution gaming. Compared to Intel’s Panther Lake 12Xe3 (up to 9,600 MT/s), Medusa Halo’s LPDDR6 offers both higher speed and greater total bandwidth.

Competitive Landscape

While Intel partners with NVIDIA and pushes its own LPDDR5/6 solutions, AMD remains focused on an integrated roadmap that couples cutting‑edge CPUs, GPUs, and memory without reliance on external GPU vendors.

Conclusion

AMD’s Ryzen AI MAX 500 “Medusa Halo” SoC promises a compelling blend of Zen 6 compute, RDNA 5 graphics, and LPDDR6 memory, delivering up to 460 GB/s bandwidth. If realized on schedule, it will set a new performance benchmark for AI‑centric laptops and compact desktops.