무슨 발표인가

• Intel Xeon 6700P/6500P 프로세서는 메모리 대역폭이 2배 증가
• 8000 MT/s RDIMM 지원으로 데이터 처리 성능 강화

2025년 2월 24일 출시

원문 (영어)

Memory Bandwidth May Be the Most Overlooked AI Performance Metric July 20, 2026 Published Data Center Hide Show Image --> Intel Xeon 6 processors deliver exceptional performance for the widest range of workloads and are engineered for efficiency and low total cost of ownership.

On Feb. 24, 2025, Intel launched the Intel Xeon 6700P and 6500P series P-core processors with more cores, double the memory bandwidth and AI acceleration in every core. (Credit: Intel Corporation) Intel Xeon first to market with 8000 MT/s RDIMM support underscores why data movement is becoming a competitive differentiator.

--> Share In this article: By Srini Krishna — Fellow, Intel Data Center Group Opinion: AI performance depends on more than accelerators In the AI era, it is easy to focus on the most visible parts of the system: the accelerators, the scale of the cluster or the size of the model.

But as AI systems grow more complex, one of the most important questions for data center leaders is also one of the most practical: can the platform move data fast enough to keep the entire system productive? Memory bandwidth is becoming a strategic design point Modern AI host CPUs are being asked to support larger models, denser GPU configurations and increasingly data-intensive pipelines.

In that environment, memory performance is not a secondary specification. It can determine whether CPUs, accelerators and storage operate as a coordinated system — or spend valuable cycles waiting for data. That is why Intel continues to advance memory performance on the Intel Xeon 6 platform.

Intel Xeon 6700P is planned to support 1DPC 8000 MT/s RDIMM functionality on select SKUs, delivering a 25% increase in memory speed over current 6400 MT/s RDIMMs and 6% lower memory latency.

원문: Intel Newsroom — "Memory Bandwidth May Be the Most Overlooked AI Performance Metric" (2026-07-20) 공식 원문: https://newsroom.intel.com/opinion/memory-bandwidth-may-be-most-overlooked-ai-performance-metric