A new tool helps users match AI models with Edge AI hardware, reducing the time needed to compare different system options.
ASRock Industrial has launched AI Pathfinder, an online tool that helps users choose Edge AI hardware based on the AI model, workload, and deployment requirements. The tool supports more than 21 AI models, including OSS-120B, Gemma 4 32B, computer vision, and multimodal AI workloads, and recommends compatible hardware systems.
Selecting hardware for AI applications depends on factors such as compute performance, memory, AI accelerators, and model precision. Smaller edge inference applications require fewer resources, while large language models with more than 100 billion parameters require higher compute capacity. AI Pathfinder maps these requirements to hardware configurations to reduce evaluation time.
The tool groups hardware into five performance levels. The Entry tier delivers up to 66 TOPS for edge inference, embedded AI, smart kiosks, edge monitoring, and computer vision. Systems include the iEP-7030E, NUC BOX-155H, 4X4 BOX-8840U, 4X4 BOX-AI350, and iEP-6022E.
The Mid tier delivers up to 117 TOPS for video analytics, retail automation, smart transportation, and industrial automation. Systems include the iEP-7040E, NUC BOX-255H, iBOX-255H, and iEP-6021E.
The High tier delivers up to 180 TOPS for multimodal AI, industrial AI assistants, private AI deployments, and larger edge AI models. Systems include the AI BOX-A395, iEP-6020E, iEP-7050E, and NUC BOX-358H.
The Ultra tier delivers up to 1,568 TOPS using systems with GPUs or AI accelerators. The iEPF-10000S Series and iEPF-9500S Series support robotics, machine vision inspection, warehouse automation, smart manufacturing, and transportation systems.
The Extreme tier delivers up to 8,180 TOPS for enterprise AI deployments. Built on the iEPF-11000S platform, these systems support multiple GPUs or AI accelerators for generative AI, multi-model workloads, and AI services.
The company said it will add support for more AI models, accelerator technologies, and hardware configurations to AI Pathfinder, helping users move from hardware evaluation to deployment more quickly.
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