AMD has published a new blog on enabling OpenClaw AI agent on its powerful Ryzen AI MAX APUs & Radeon AI PRO GPUs.
AMD Shows You How To Run OpenClaw AI Agent on Ryzen AI MAX APUs & Radeon AI PRO GPUs, Plus Also Reveals Strong Performance Capabilities
AI agents such as OpenClaw are the talk of the town, and AMD has decided to offer a guide on how to run these on their latest hardware. For this purpose, AMD has set up two unique OpenClaw configurations, the first one being RadeonClaw, which is based on their Radeon AI PRO GPUs, and RyzenClaw, which is based on their Ryzen AI MAX SoCs.
As we know, AMD's Ryzen AI MAX+ APUs feature support of 128 GB of fast memory on a single platform. This allows them to tackle big LLMs such as Qwen 3.5 122B easily. With 128 GB of system memory & the ability to allocate up to 112 GB of VRAM to the Radeon 8000S GPUs, the systems, which come in the form of laptops and Mini PCs, offer lots of local AI performance.
Starting with the first example, the AMD Ryzen AI MAX+ APUs offer up to 19 Tokens/s performance on a single agent and multi-agents up to two with 95K context concurrency in Qwen 3.5 122B A10B. The AMD Ryzen AI MAX+ systems can also be linked together for even faster AI workstation capabilities.
For standard Qwen 3.5 35B A3B workloads, the AMD Ryzen AI MAX+ AI offers 45 Tokens/s performance and takes just 19.5 seconds to process 10,000 input tokens. The chips have a max context window of 260K, and with a multi-agent use-case, this can be expanded to 6x95K concurrency range.
For RadeonClaw, AMD demonstrates its Radeon AI PRO R9700 graphics card, which is based on its fastest 32 GB RDNA 4 GPU. A single AI PRO R9700 GPU can crunch up to 10,000 input tokens in just 4.4 seconds, and offers 120 Tokens/s performance. The max context window is 190K, and a multi-agent application rate of 2 x 95K is listed. Users can also combine up to four of these Radeon AI PRO R9700 GPUs in workstation setups for 128 GB of VRAM, giving them the ability to run larger 128B models locally and with ease.
AMD also provides users with a BKC (Best Known Configuration) for OpenClaw via WSL2. It provides the following:
- Fully Local LLM Provisioning
- Functional Memory.md (Local Embedding)
- Powered by LM Studio (llama.cpp)
- Browser Control (Inside WSL2)
- Est Setup Time: <1 Hour
- Designed for early adopters of personal agents
We have tested both an HP Zbook Ultra G1a laptop and GMKtec's EVO X2 Mini PC featuring the Ryzen AI MAX+ 395, and found their AI capabilities to be very disruptive. Sure, the products come at a high price, above $2000 for the Mini PC with 64 GB memory and over $4000 for the HP Zbook with 128 GB memory, but they are truly compact workstation beasts.
It's great to see that companies are not just pushing the AI narrative by launching new hardware, but also putting out handy guides to help enable consumers to utilize their hardware capabilities in new ways. The AI agents have lots of use cases, not just for professionals or business-oriented users, but also for regular PCs & users. You can check out AMD's full guide here on how to enable OpenCLaw on your system.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
Follow Wccftech on Google to get more of our news coverage in your feeds.
