PC Slower Than It Used to Be?
A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Outdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchAMD’s Ryzen AI Halo is a compact AI developer platform built around the Ryzen AI Max+ 395 “Strix Halo” processor. It combines 128GB of shared LPDDR5x memory, a 40-compute-unit Radeon 8060S GPU, 2TB of storage and a preconfigured ROCm-oriented software environment in a 150mm-square chassis. The US price is $3,999.99 for either Linux or Windows 11 Pro, with Micro Center listed as the exclusive retail channel and store-by-store availability.
That combination makes the Halo unusually capable at loading large local AI models. It does not, however, guarantee high generation speed, CUDA compatibility or upgradeability. Its value depends on whether you need very large shared memory in a tiny, ready-to-use system.
What Ryzen AI Halo actually is
AMD announced the Ryzen AI Halo Developer Platform at CES on January 5, 2026, describing it as the company’s first AMD-branded AI developer platform: AMD’s announcement. “Ryzen AI Halo” refers to the complete computer, while Ryzen AI Max+ 395 is the processor inside it. Strix Halo is the former codename for this Ryzen AI Max family.
It is best understood as a compact local-AI workstation rather than an ordinary consumer mini PC. AMD’s pitch includes the hardware, ROCm support, guided developer playbooks and access to tools such as LM Studio, ComfyUI and Visual Studio Code.
#1 Best Overall
- EVOLUTION RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 128GB pool, which is perfect for running LLMs such as Deepseek 70B Q8, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 12% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
Why its unified memory matters
The Halo’s 128GB of LPDDR5x memory is shared by the CPU, integrated GPU and AI workloads. Unlike a conventional desktop with separate system RAM and a fixed pool of graphics memory, this design can let the Radeon GPU access a much larger common pool. AMD says Ryzen AI Max+ systems can configure up to 96GB as VRAM, although the usable allocation depends on firmware, operating system and application behavior (AMD’s technical explanation).
That capacity can be more important than peak compute when a model will not fit on a typical consumer graphics card. It does not make the Halo equivalent to a high-end discrete-GPU workstation: memory capacity, bandwidth and processing throughput are separate limits.
Ryzen AI Halo specifications
| Component | Specification |
|---|---|
| Processor | AMD Ryzen AI Max+ 395 |
| CPU | 16 Zen 5 cores, 32 threads; boost up to 5.1GHz |
| GPU | Radeon 8060S, RDNA 3.5, 40 compute units |
| NPU | XDNA 2, rated up to 50 TOPS |
| Memory | 128GB LPDDR5x-8000 unified memory |
| Memory bandwidth | 256GB/s |
| Storage | 2TB M.2 SSD |
| Networking | 10Gbps Ethernet, Wi-Fi 7, Bluetooth 5.4 |
| Display and USB | HDMI 2.1b; three USB-C ports, including one power-input port |
| Operating systems | Linux or Windows 11 |
| System TDP | 120W |
| Size and weight | 150 × 150 × 45.4mm; under 1.2kg |
Specifications are from AMD’s platform page. The Ryzen AI Max+ 395 itself has a configurable 45W–120W TDP range, 64MB of L3 cache and a maximum 5.1GHz boost clock (AMD processor specifications).
What can it run locally?
Large-language models
AMD says the Halo can run models with up to 200 billion parameters locally (AMD’s product page). That is a capacity claim, not a universal speed or compatibility guarantee. A model’s quantized file, context window, key-value cache, runtime overhead, operating-system use and application buffers all consume memory. A 200-billion-parameter model in a high-bit format may require substantially more than 128GB.
“Runs locally” can therefore mean that a suitably quantized model loads and generates tokens, not that it delivers workstation-class tokens per second. CPU/GPU offload, the inference backend and ROCm support materially affect results.
Rank #2
- 𝗗𝗲𝘀𝗸𝘁𝗼𝗽-𝗖𝗹𝗮𝘀𝘀 𝗔𝗜 𝗣𝗼𝘄𝗲𝗿 𝗳𝗼𝗿 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 - Powered by AMD Ryzen AI 9 HX 370 with up to 80 TOPS AI performance and a dedicated XDNA 2 NPU (50 TOPS), the GEEKOM A9 Max AI Mini PC accelerates AI-assisted coding, local AI workflows, machine learning, and image generation. Compatible with Microsoft Copilot+, ChatGPT, Claude, Gemini, Ollama, Stable Diffusion, and ComfyUI for fast, responsive AI computing.
- 𝗔𝗔𝗔 𝗚𝗮𝗺𝗶𝗻𝗴 & 𝗣𝗿𝗼 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗣𝗼𝘄𝗲𝗿 – Featuring a 12-core, 24-thread Zen 5 processor and Radeon 890M Graphics with 16 RDNA 3.5 Compute Units, this mini PC handles AAA gaming, live streaming, 4K video editing, photo editing and 3D rendering with ease. Enjoy titles like Cyberpunk 2077, Forza Horizon 5, Call of Duty and CS2, while accelerating workflows in Premiere Pro, Photoshop, DaVinci Resolve and Blender—ideal for gamers, streamers and content creators.
- 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲, 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗟𝗮𝗯-𝗧𝗲𝘀𝘁𝗲𝗱 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 – Built for software development, virtualization, data analysis, machine learning and enterprise productivity, The A9 Max features 32GB of DDR5 RAM, expandable up to 128GB, and dual PCIe Gen4 SSD slots with 2TB of storage, expandable up to 8TB. Its premium all-metal chassis and IceBlast 2.0 cooling system, with copper heat sinks, dual heat pipes and optimized airflow, help maintain stable performance during AI computing, rendering, gaming and other demanding workloads. Ideal for engineers, researchers, educators and business users; contact GEEKOM for enterprise deployment.
- 𝟴𝗞 𝗤𝘂𝗮𝗱-𝗗𝗶𝘀𝗽𝗹𝗮𝘆 & 𝗡𝗲𝘅𝘁-𝗚𝗲𝗻 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆 - With pre-installed operating system, GEEKOM A9MAX Mini PC supports up to four 8K displays via dual USB4 and dual HDMI 2.1 ports. Featuring Wi-Fi 7, Bluetooth 5.4, dual 2.5GbE LAN ports, multiple USB ports, and high-speed storage expansion, it is built for content creation, business, software development, financial trading, and home office productivity.
- 𝟱𝟬 𝗧𝗢𝗣𝗦 𝗡𝗣𝗨 𝗳𝗼𝗿 𝗣𝗿𝗶𝘃𝗮𝘁𝗲 𝗟𝗼𝗰𝗮𝗹 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗜 – Powered by a 50 TOPS NPU, Radeon 890M graphics and a multi-core CPU, this compact PC supports compatible quantized local LLMs, private RAG search, document intelligence, coding assistance, translation and multimodal analysis. Enterprises can process contracts, financial reports, proprietary code, client files and internal knowledge bases locally; professionals and creators can build private research, software-development and content-production workflows. Sensitive files and routine AI tasks can remain on-device, with cloud AI available for larger models or deeper reasoning.
Coding and agent workflows
The memory pool is useful for local coding assistants, multimodal agents, model evaluation and prototyping. Developers still need to verify that their chosen model server, extensions and containers support AMD hardware rather than assuming CUDA compatibility.
Images, video and fine-tuning
AMD and Micro Center promote ComfyUI and other image-generation workflows. Adapter training or fine-tuning may be possible for suitably sized models, but the integrated GPU and software support impose limits. The Halo is not a replacement for a multi-GPU training server.
How fast is it?
AMD lists up to 60 FP16 TFLOPS of GPU performance and up to 50 TOPS for the NPU. These are peak theoretical ratings, not direct measurements of language-model throughput, image-generation time or training speed.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →AMD’s comparison material reports, in its own testing on a pre-production 128GB Linux system, up to 3.3× higher performance than Apple’s M4 Pro on Ace Step 1.5, up to 4.0× on Flux 2 Klein and up to 3.9× on Qwen Image Edit. Those results are vendor benchmarks under AMD’s stated conditions, not independent review measurements (comparison details).
The same page compares a $3,999 Halo with a $4,699 Nvidia DGX Spark. Price, model versions, quantization, drivers, power limits and test methods mean the figures should not be treated as proof of universal superiority.
Rank #3
- 【Low Power for Always-On AI Workflows】At just 15W TDP, the GEEKOM A7 uses far less power than a traditional 350W desktop, helping reduce electricity costs, heat, and cooling noise during extended operation. That efficiency makes it ideal for keeping cloud AI assistants and AI Agent tasks running in the background—automating document summaries, email polishing, meeting notes, content rewriting, research, and scheduled workflows throughout the day. The energy savings can help recoup the device cost in about 1 year, making A7 a practical choice for 24/7 AI task hosting and efficient everyday computing.
- 【Ryzen 7 7730U – More Than a Low-Power PC】Think low power means less performance? Not here. The Ryzen 7 7730U mini computer packs 8 cores, 16 threads, and up to 4.5GHz, giving you the power to handle multitasking, dozens of tabs, video calls, and creative work smoothly. AMD Radeon Graphics supports 4K playback, multi-display work, photo editing, and casual gaming without a dedicated GPU. Compared with the Ryzen 7 5825U and Ryzen 5 7430U, it delivers up to 20% higher performance for faster response and smoother everyday computing—all in a compact, energy-efficient Mini desktop.
- 【Lock In More Memory Before It Costs More】32GB gives you the headroom most demanding tasks need today—and room to grow tomorrow. Built for heavy multitasking, content creation, large projects, and AI-assisted workloads, the GEEKOM mini pc starts you with twice the memory of a typical 16GB setup, so you can skip an immediate upgrade. With AI driving greater demand for memory, starting with 32GB is a smarter way to stay ready for what’s next. The 500GB PCIe Gen4 x4 SSD delivers fast storage, with support for up to 64GB RAM and 4TB SSD storage when you need more.
- 【Premium Metal Design & 3-Year Warranty】Why settle for plastic? The GEEKOM mini desktop features a premium aluminum alloy chassis that resists daily wear and helps dissipate heat during extended use. Rigorous quality testing and CE, FCC, and RoHS compliance support dependable performance, backed by a 3-year limited warranty and professional support for long-term peace of mind.
- 【One Mini PC, All Your Ports】Stay connected with dual USB-C ports, 5 USB 3.2 ports, dual HDMI 2.0, and a 2.5G LAN port for fast, flexible connectivity. The USB-C ports support high-speed data transfer, display output, and peripheral power, while Wi-Fi 6E keeps streaming, file transfers, and online work fast and reliable. From multiple peripherals to high-resolution displays, everything you need stays within easy reach.
ROCm, Linux and Windows
The developer-platform proposition is as important as the silicon. AMD provides ROCm support, a Ryzen AI Halo Developer Center application, guided playbooks and Linux or Windows options. Micro Center’s setup material highlights ROCm, LM Studio, ComfyUI and Visual Studio Code (setup information).
ROCm is AMD’s GPU-computing and AI stack, not a guarantee that every CUDA-first application will work unchanged. CUDA-specific kernels, extensions, Docker images and optimization libraries may need a port or a different backend. Check the current Radeon ROCm compatibility documentation and the Windows support requirements for the exact framework and operating system you plan to use.
Linux is often the more natural ROCm development environment. Windows may be preferable for general desktop use, but library and driver parity can differ by release.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Price, availability and warranty
Micro Center lists both the Windows 11 Pro configuration and the Linux configuration at $3,999.99:
Micro Center describes the Halo as an exclusive, in-store product. Inventory is tied to individual locations and can change during the day; it should not be assumed to be available nationwide or for ordinary online shipping. The product page lists a one-year parts-and-labor warranty. The official retail positioning is summarized here.
Rank #4
- EVOLUTION AMD RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 128GB pool, which is perfect for running LLMs such as Deepseek 70B Q8, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 12% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
Who should buy it?
- Developers who genuinely need 128GB of fast shared memory for local models.
- Teams that want a compact, preconfigured AMD development machine instead of assembling and maintaining one.
- Users with ROCm-compatible inference, image-generation or evaluation workflows.
- Buyers who value Linux/Windows flexibility and low desk space more than expansion.
- People who will use the machine frequently enough to offset cloud experimentation costs, while recognizing that hosted APIs may still be needed for some jobs.
Who should skip it?
- CUDA-dependent developers who need the broadest application and extension compatibility.
- General desktop users or gamers seeking maximum performance per dollar.
- Buyers who need a replaceable discrete GPU, socketed memory or major future expansion.
- Users whose models fit comfortably in 32GB or 64GB and who do not need a tiny appliance.
- Anyone expecting the 200-billion-parameter claim to imply fast generation in every model.
The LPDDR5x unified memory is not presented by AMD as user-upgradeable, and the compact chassis is not designed around replacing the integrated GPU.
Do these 3 things before closing this tab:
1Scan for outdated or missing drivers - takes under a minute2Repair Windows errors before they cause bigger problems3Fix the driver behind crashes, sound loss and screen glitchesAlternatives worth comparing
Nvidia DGX Spark
DGX Spark is the closest compact alternative for CUDA-first work. Nvidia’s ecosystem remains the safer choice for broad framework, kernel and deployment compatibility. AMD’s comparison page cites a $4,699 retail reference for DGX Spark versus $3,999 for Halo; treat that as a vendor-provided comparison. See Nvidia’s official page.
Framework Desktop
A Framework Desktop using Ryzen AI Max+ 395 can offer similar core silicon in a larger, more modular system. An independent review listed a 128GB/2TB configuration at about $2,270 at review time, but prices change (review context). Framework’s product page is here.
Other Ryzen AI Max+ 395 mini PCs
Systems from GMKtec, Minisforum, Bosgame, Corsair and others may cost less or provide different ports and cooling. They are not automatically equivalent: power limits, firmware, memory configuration, thermals, warranty and ROCm readiness can change real results.
A conventional discrete-GPU desktop
A custom Nvidia desktop is generally the safer professional choice for CUDA software, upgradeability and supported-workload throughput. It is larger and often uses more power, but its graphics hardware, storage and memory can be replaced. The Halo is more compelling when fitting a large model into a small 128GB shared-memory system is the primary requirement.
Free tools Windows power users keep installed
One-click scans. No signup required.
Verdict
The Ryzen AI Halo is a specialized, unusually compact local-AI workstation. Its strongest selling point is the combination of 128GB unified memory, Strix Halo compute and a turnkey ROCm-oriented environment—not universal performance leadership. At $3,999.99, it makes sense for developers who need that memory capacity and convenience in a tiny box. Buyers with CUDA-only software, upgrade plans or less demanding models will usually get better value from a discrete-GPU desktop, Framework Desktop or a lower-cost Ryzen AI Max+ 395 system.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
