AMD’s High-End Ryzen AI Halo Workstation Launches with a $3,999 USD Price Tag

Designed to challenge Nvidia's dominance, the new developer-focused hardware brings powerful local AI inferencing capabilities to the desktop alongside the scaled unified memory architecture of the Ryzen AI Max 400 series.

AMD

AMD revealed the pricing for its eagerly awaited Ryzen AI Halo development workstation. The tiny machine is scheduled for release in June 2026, priced at $3,999 USD. The new hardware, positioned as a direct competitor to the NVIDIA DGX Spark, delivers substantial artificial intelligence processing capabilities right to the desktop. The introduction signifies a significant transformation for producers and developers that depend on costly cloud computing tokens.

The entry-level design encompasses substantial power within a compact 150 by 150 by 43 millimeter chassis. This unit employs the Ryzen AI Max+ 395 CPU, which includes 16 Zen 5 cores and an XDNA 2 NPU with a capacity of 50 TOPS. It comprises 128GB of LPDDR5X unified memory. In contrast to its main competitor NVIDIA, which confines users to Linux settings, the AMD system utilizes an x86-64 architecture. This ensures complete interoperability with both Windows and Linux operating systems immediately upon installation.

In conjunction with the physical workstation, the technology conglomerate outlined its comprehensive Ryzen AI Max 400 series CPU range. The premier model is the Ryzen AI Max+ PRO 495, featuring 16 cores with a maximum boost frequency of 5 GHz. The silicon contains 80MB of cache and an enhanced NPU delivering 55 TOPS. Graphics performance is significantly enhanced by 40 RDNA 3.5 compute units.

AMD

The defining characteristic of the new CPU family is memory allocation. The highest tier accommodates an unparalleled 192GB of unified memory. Users may designate a maximum of 160GB exclusively as VRAM. The extensive pool enables the 400 series to be the inaugural x86 client processor capable of executing AI models with over 300 billion parameters locally. It significantly obviates the necessity for external server farms for demanding machine learning operations.

The significant initial expense aims at professional developers pursuing long-term savings. The extensive utilization of remote AI agents generally incurs expenses of approximately $750 monthly. By internalizing those workloads, the hardware investment recoups its costs within six months. The premium edition includes preconfigured software playbooks and access to the developer program to expedite setup operations.