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Select models also offer extra cooling options specifically designed for operational efficiency and performance. Dell servers provide customers with various opportunities as they assess their cooling needs when they plan the growth of their infrastructure to support AI-related applications.
The new platforms’ performance is impressive. The R760xa with Nvidia H100 and XR5610 with Nvidia L4 showed exceptional results for data center and edge inferencing with high performance/watt for edge applications.
Intel’s 4th Generation Xeon scalable processors also offer significant improvements for AI workloads. The R760 with 4th Generation Intel Xeon scalable processors uses AMX technology to deliver up to 8x improvement for inference throughput. With Intel AMX technology, developers can leverage AMX to boost the performance of AI workloads while continuing to use the ISA instruction set for non-AI workloads. This benefit extends to the entire PowerEdge portfolio, creating a major performance uplift for AI workloads from edge to core.
These technological advancements in GPU-optimized servers and Intel’s Xeon processors are creating the foundation for enabling the creation of new AI training and inferencing software, generative AI models, AI DevOps tools and AI applications. Dell Technologies’ latest release of AI- and ML-enabled platforms provides the flexibility that end-users need to create AI applications that span from core to edge.
Dell Technologies has put a significant focus on the architecture and design of these platforms to support both current and future AI applications. These advancements in infrastructure are necessary to keep up with the growing demand for AI and the increased complexity of the models and workloads being developed. With its latest PowerEdge servers, Dell Technologies is paving the way for a more efficient and powerful AI future both inside and outside the data center.