… This command configures the model to utilize 90% of the MI300X GPU’s VRAM and enables specialized parsers for agentic tool-calling: sudo docker run -d --ipc=host --network=host --privileged \ --device=/dev/kfd --device=/dev/dri --name hermes service \ -v $HOME/.hermes/workspace:/workspace \ --entry… …
… Interact with any Local AI models Pick and run any HuggingFace model locally — or use the optimized defaults. …
… Recent versions of OpenClaw simplify this process significantly by allowing you to configure the model during the initial installation Step 1: Install OpenClaw Run the following command on your local machine or droplet Mac/Linux : curl -fsSL https://openclaw.ai/install.sh | bash This launches the O… …
… With platforms like AMD Ryzen™ AI Max+, models such as Qwen 3.5 122B can run locally with strong performance, supporting both single agent and multi agent workloads, signaling a shift from the cloud powered AI of yesterday to powerful local AI systems today. …
… They have the horsepower to run sophisticated local models, the efficiency to stay persistently available, and the architecture to support the parallel, multi-agent workloads that define what comes next. …
… Who they’re for Developers and AI enthusiasts Veteran creators and engineers Customers exploring local AI at scale Example workloads Running and fine-tuning AI models locally AI-assisted video, 3D, and design workflows High-performance multitasking without discrete GPUs Learn more about AMD Ryzen A… …
… You'll Learn How to structure a hybrid multi-agent system across client and cloud environments How to run personal AI workflows locally on a Ryzen AI PC How to connect local agents to frontier models deployed on AMD Instinct GPUs How to route tasks between local and cloud models based on performanc… …
… The local memory capacity that variable graphics memory provides makes that possible, even for the largest and most complex models. With AMD Ryzen™ AI Max+ PRO processors, engineering teams can process large thermal and fluid models directly on their local workstations. …
… Prompt length tokens TTFT sec TPS tok/sec Memory GB 128 0.54 12.6 13.6 256 0.65 12.5 13.6 512 0.92 12.3 13.7 1024 1.61 11.8 13.8 2048 3.23 10.9 14.0 TTFT – time to first token, TPS – tokens per second Running GPT-OSS-20B with Ryzen AI 1.7 Using ONNX Runtime GenAI 4 , GPT-OSS-20B can be executed loc… …
… By pushing the limits of Weight-Only Quantization WOQ , AMD allows massive models to run locally and efficiently without the reliance on a dedicated datacenter GPU. …