AMD Instinct MI355X
Examining Next-Generation Enterprise AI Performance
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Russ Fellows
Few technologies have experienced a faster adoption rate than AI, which has emerged as one of the most important enterprise workloads over the past decade. Companies that excel at implementing these new AI workloads cost effectively will gain a significant competitive advantage. While the leading GPU supplier has continued to deliver enhancements, the AI accelerator landscape has changed markedly over the past few generations, with AMD emerging as the leading challenger to the existing hegemony.
Enterprise users have come to understand the trade-offs between the instant availability of cloud deployments vs. the challenges presented by regulations and data governance. Moreover, many enterprises often utilize a mix of both cloud hosted environments to rapidly trial and prototype solutions, while considering on premises AI deployments to maximize their spending while ensuring data privacy.
Having shipped dedicated AI accelerators for nearly a decade, AMD continues to be a key player in the AI market. Through concentrated efforts on their Instinct hardware portfolio and AI software library, AMD is now strategically positioned to advance its market share and challenge the top competitor.
Signal65 was asked to analyze and evaluate the performance of the new AMD Instinct MI355X compared to a leading competitor, the NVIDIA B200 GPU for common enterprise AI workloads. Working with AMD and utilizing AMD’s labs, Signal65 tested several LLM workloads and compared them to published results from NVIDIA for the B200.
