- The AMD Ryzen AI Halo is powered by AMD’s 16-core Ryzen AI Max+ 395 based on ‘Zen 5’
- It also offers 128 GB of unified memory, matching that of the Nvidia DGX Spark.
- With a reported MSRP of $3,999, it aims to compete with both Nvidia’s offerings and solutions that currently rely on a high-end Apple Mac Mini for localized AI.
AMD is finally preparing to launch its Ryzen AI Halo, a complete compact AI development offering that aims to directly compete with Nvidia’s DGX platform and Apple’s Mac Mini.
The platform offers a similar memory configuration to the previous one and allows developers to install Windows or Linux as their operating system of choice.
But AMD’s entry comes almost two years after that of its competitors, which begs the question: is it too little, too late?
A relatively late entry?
The AMD Ryzen AI Halo development platform was announced by CEO Dr. Lisa Su over 4 months ago during her CES keynote. It was finally given a tentative release date, with pre-orders (exclusive to Microcenter in the US) beginning in June.
AMD’s answer to Nvidia’s dominance in the current AI developer market, however, will arrive nearly 5 months after its announcement, even though other similarly configured enterprise-class options already exist to fill the void.
All eyes are on the DGX Spark
AMD has not directly competed with Nvidia’s DGX Spark since its release in mid-October 2025, although it has brought in third-party industry partners such as HP (Z2 Mini G1a) and Minisforum (MS-S1 Max) to fill the gap.
Despite its late launch, the Ryzen AI Halo aims to level the playing field for Team Red compared to Nvidia’s deep-rooted and formidable offering.
While AMD’s own slides show a slight lead when it comes to certain AI models, with leads ranging from 4% to 14% in terms of token generation, while touting Windows support, a lower power cost per token generated for core LLMs, and an NPU under the hood, things are considerably closer than one might like, all things considered.
Hardware Overview: Ryzen AI Halo vs DGX Spark
AMD’s integrated AMD Ryzen AI Max+ 395 has a TDP of 120W compared to the Spark’s integrated Nvidia GB10 (140W), although both units come with a 240W PSU to cover the overhead of their motherboards, SSD, and cooling.
Both have the same amount of RAM available to users (128 GB), and although AMD’s offering comes with Wi-Fi 7 and Bluetooth 5.4 (like the DGX Spark), it only offers a 10 GbE Ethernet port compared to Nvidia’s ConnectX network card which offers speeds of up to 200 Gbps, making it ideal for users to connect 2 DGX Sparks together to work with twice more settings locally than AMD’s offering.
The DGX Spark also holds up against AMD’s offering in terms of raw compute, providing up to 1 petaFLOP of FP4 compute, compared to the 60 TFLOPs AMD announced for FP16. It also offers a 4TB configuration for an on-premises price of $4,700, doubling the storage currently offered by AMD.
Physically, the Ryzen AI Halo is slightly smaller than the DGX Spark, although both units outsource their power requirements to maintain their respective form factors.
A little too late?
We could say that the AMD Ryzen AI Max+ 395 currently offered by the Ryzen AI Halo is a bit disappointing for such a late release.
HP has already shipped the Z2 Mini G1a to most of its enterprise customers, offering a similar configuration: 128 GB of unified memory, the same APU and 2 TB of storage, although in a much larger form factor than what AMD currently offers.
Despite this, AMD’s offering aims to expand the options available to users who were previously looking for a smaller form factor, access to a validated technology stack, or simply the ability to purchase a solution with broader support than similar commercially available offerings.
One thing is clear, however, for users wanting to run CUDA applications or larger models (>200B settings): Nvidia’s DGX Spark and its superior networking still pack a tremendous punch that AMD has yet to provide an alternative for, at least in this form factor.
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