AMD MI355X GPU Guide: Use Cases, Benchmarks & Buying Tips

The AMD MI355X GPU is distinguished by its substantial on-chip memory, new low-precision compute engines, and an open software ecosystem, making it particularly effective for generative AI and high-performance computing (HPC) workloads. With 288 GB of HBM3E memory and 8 TB/s bandwidth, it can handle models exceeding 500 billion parameters on a single GPU, reducing the need for partitioning across multiple boards and delivering up to a 4× performance improvement over its predecessor. The MI355X is built on AMD's CDNA 4 architecture, featuring a chiplet-based design with eight compute dies linked by Infinity Fabric, which enhances memory capacity and bandwidth. This architecture supports native FP4 and FP6 datatypes, optimizing energy and cost efficiency, and is integrated into a flexible Universal Baseboard (UBB 2.0) that can scale up to 128 GPUs. The GPU's collaborative use with Clarifai's platform allows seamless orchestration across cloud, on-prem, or edge environments, facilitating transitions from prototyping to production-scale AI. Additionally, features such as structured pruning and low-precision modes enhance throughput, while the MI355X's memory capacity and FP6 throughput provide competitive advantages over alternative GPUs, particularly in high-utilization and large model scenarios.