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AMD’s Series 350 GPUs

It compares well against Nvidia’s B200.

Jon Peddie

At its Advancing AI event, AMD launched the MI350 series GPUs, built on the new CDNA 4 architecture. These accelerators challenge Nvidia’s B200 on cost-performance for small-to-medium AI model inference but are not a rack-scale competitor to the GB200 NVL72 for large-scale training. The architecture uses eight compute chiplets and 288GB of HBM3E memory. Its key innovation is support for new, reduced-precision data types like FP4, dramatically increasing AI throughput and efficiency. The series includes an air-cooled MI350X and a more powerful, liquid-cooled MI355X, connecting eight GPUs per node via Infinity Fabric. AMD Instinct MI350 chiplet construction. (Source: AMD) At
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