AMD Ryzen AI Halo
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The Ryzen AI Halo is AMD's first-party answer to NVIDIA's DGX Spark: a 150 x 150 x 45.4 mm mini-workstation built on the Ryzen AI Max+ 395 (16 Zen 5 cores, Radeon 8060S with 40 RDNA 3.5 CUs, 50-TOPS XDNA 2 NPU) with 128 GB of LPDDR5X-8000 unified memory at 256 GB/s. AMD says that pool holds models up to roughly 200B parameters, and Variable Graphics Memory ships pre-set to maximum so large models load without tuning. It boots Windows 11 or AMD's Linux developer image — the only box in the Spark's class that does both — and pairs a standard M.2 2280 bay (2 TB included, 8 TB aftermarket) with 10GbE, Wi-Fi 7, three USB-C data ports, and HDMI 2.1b, all inside a 120 W USB-C-powered envelope. It reached retail July 10, 2026 at $3,999, exclusively through Micro Center.
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Sub-scores sum to 221 / 1000. Headline = 221 × 0.70 (Estimated-confidence discount) = 155. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →
Extrapolated from 256 GB/s bandwidth — 25.6 tok/s estimated. No measured benchmarks yet.
Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.
Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.
Positioning
This is the box to buy if you want one machine that is both a serious x86 workstation and a 128 GB local-AI node — and you should be clear-eyed about what it is not. In StorageReview's testing it was the strongest Ryzen AI Max+ 395 implementation yet (37,316 Cinebench R23 multi-core, top Procyon AI text and image scores), and it beat the DGX Spark outright in CPU work. But in vLLM serving the Spark led by 2-4x at higher concurrency, stretching to 8.8x in prefill-heavy GPT-OSS-120B runs; the Halo only got within ~10-12% in decode-heavy scenarios. If maximum tokens per second or multi-node clustering is the goal, the Spark's 200G fabric versus the Halo's lone 10GbE port settles it — buy the Spark. If raw decode bandwidth per dollar matters most, a used M2 Ultra Mac Studio (800 GB/s, up to 192 GB, MLX) is the stronger pure-inference play, minus x86 and ROCm. Against the GMKtec EVO-X3 — same silicon, $400 less — the Halo buys 10GbE, first-party dual-OS images, pre-tuned VGM, and Micro Center support, but gives up the EVO-X3's OCuLink eGPU escape hatch. For ROCm developers, Windows-in-the-loop teams, and single-box pragmatists, this is the most complete Strix Halo desktop shipped so far: $3,999 with 2 TB, $700 under the Spark Founders Edition's $4,699.
Overview
The Ryzen AI Halo is AMD's first-party answer to NVIDIA's DGX Spark: a 150 x 150 x 45.4 mm mini-workstation built on the Ryzen AI Max+ 395 (16 Zen 5 cores, Radeon 8060S with 40 RDNA 3.5 CUs, 50-TOPS XDNA 2 NPU) with 128 GB of LPDDR5X-8000 unified memory at 256 GB/s. AMD says that pool holds models up to roughly 200B parameters, and Variable Graphics Memory ships pre-set to maximum so large models load without tuning. It boots Windows 11 or AMD's Linux developer image — the only box in the Spark's class that does both — and pairs a standard M.2 2280 bay (2 TB included, 8 TB aftermarket) with 10GbE, Wi-Fi 7, three USB-C data ports, and HDMI 2.1b, all inside a 120 W USB-C-powered envelope. It reached retail July 10, 2026 at $3,999, exclusively through Micro Center.
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Specs
| System RAM (typical) | 128 GB |
| Power draw (peak) | 120 W |
| Released | 2026 |
| MSRP | $3999 |
| Backends | ROCm Vulkan |
Models that fit
Open-weight models small enough to run on AMD Ryzen AI Halo with usable context.
Frequently asked
Does AMD Ryzen AI Halo support CUDA?
Where next?
Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.