Gigabyte AI Top 500 showcased local artificial intelligence training and inference hardware at Computex 2026, centering on the GRX50 motherboard. The platform features eight memory slots supporting up to 2 TB of total memory capacity. In the demonstrated configuration, the board was equipped with 768 GB of system memory utilizing 96 GB modules, paired with NVIDIA RTX 5090 graphics cards to handle demanding AI workloads directly at the desktop.
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The system enables running massive artificial intelligence models locally without requiring specialized industrial power infrastructure. Operating on standard household or office voltage, the baseline configuration consumes approximately 1,600 watts of power. For scaling performance, the platform supports dual power supplies and multiple RTX 5090 GPUs, raising the total power budget to 3,200 watts to handle complex, multi-GPU configurations.
A key hardware integration is the Phison AI TOP 100 SSD, which acts as a memory extension to enable execution of models far exceeding physical GPU VRAM limits. While a standard RTX 5090 setup can run a 20 billion parameter model using its onboard VRAM, combining it with 768 GB of system memory expands capacity to a 400 billion parameter model. Incorporating the specialized Phison AI TOP 100 SSD allows the system to process models with up to 600 billion parameters.
The software environment supporting the hardware allows users to run, evaluate, and test a wide variety of open-source models, including Llama 3.2 3B, DeepSeek 671B, Gemma, and Qwen. It supports multiple precision levels such as FP4, FP8, FP16, and FP32, providing a benchmarking framework to help operators determine the optimal balance of speed and accuracy for their specific workflows. In a practical enterprise demonstration, the system processed 80 concurrent insurance consultation queries using Llama 3.2 3B in 22 seconds.
For mainstream applications, mid-range solutions based on AMD and Intel architectures are also available. The Intel mainstream platform features the Z890 chipset and supports dual RTX 5090 graphics cards, running models up to 400 billion parameters for budget-conscious setups. To ensure stability during continuous 24/7 training runs, these systems incorporate thermal enhancements including optimized airflow venting and integrated dust defense mechanisms.
