![]() This result is achieved gradually by refining and spreading out information throughout the generation process. In the context of generative AI, stable diffusion is a text to image model that generates coherent image samples. The latest submission saw the introduction of the new Stable Diffusion XL benchmark. This result suggests that the PowerEdge R7615 server, despite having half the compute resources, still performs comparably well in most cases, showing its efficiency. It is interesting that the red line almost mimics the blue line. The red trendline has also been normalized over the PowerEdge R750xa server and represents the performance of the PowerEdge R7615 server with two NVIDIA L40S GPUs. In most cases, the performance achieved on the PowerEdge R760xa server outshines the results of the PowerEdge R750xa server with NVIDIA A100 GPUs, proving the expected improvements from the NVIDIA L40S GPU. ![]() The blue trendline represents the performance of the PowerEdge R760xa server with four NVIDIA L40S GPUs that has been normalized by dividing each benchmark result by the corresponding score achieved by the PowerEdge R750xa server. With a score of 1.00 for each benchmark value, the results have been divided by themselves to serve as the baseline in green for this comparison. ![]() The green trendline represents the performance of the Dell PowerEdge R750xa server with four NVIDIA A100 GPUs. This result provides an easy-to-read comparison of three systems and several benchmarks.įigure 7: Normalized NVIDIA L40S GPU performance over the PowerEdge R750xa server with four A100 GPUs The following figure presents the results as a ratio of normalized numbers over the Dell PowerEdge R750xa server with four NVIDIA A100 GPUs. With up to nine PCIe Gen4 slots and availability in a 1U or 2U configuration, the PowerEdge R750xa server is an excellent option for any demanding workload.įigure 5: Front view of the Dell PowerEdge R750xa serverįigure 6: Top view of the Dell PowerEdge R750xa server Performance results Classical Deep Learning models performance The PowerEdge R760xa server is designed for the most demanding AI, ML, and DL workloads as it is compatible with the latest NVIDIA TensorRT engine and CUDA version. This server is equipped with Intel Xeon Gold processors and the latest NVIDIA GPUs. The PowerEdge R750xa server is a perfect blend of technological prowess and innovation. Powered by a single AMD EPYC processor, this server performs well for any demanding AI workloads.įigure 3: Front view of the Dell PowerEdge R7615 serverįigure 4: Top view of the Dell PowerEdge R7615 server Dell PowerEdge R750xa server With its powerful processing capabilities including up to three NVIDIA L40S GPUs supported by TensorRT, this server can handle complex neural network inference and training tasks with ease. The PowerEdge R7615 server stands out as an excellent choice for AI, machine learning (ML), and deep learning (DL) workloads due to its robust performance capabilities and optimized architecture. Whether you are processing image recognition tasks, natural language understanding, or deep learning models, the PowerEdge R760xa server provides the computational muscle for reliable, precise, and fast results.įigure 1: Front view of the Dell PowerEdge R760xa serverįigure 2: Top view of the Dell PowerEdge R760xa server Dell PowerEdge R7615 server Coupled with NVIDIA TensorRT and CUDA 12.2, the PowerEdge R760xa server is positioned perfectly for any AI workload including, but not limited to, Large Language Models, computer vision, Natural Language Processing, robotics, and edge computing. This server represents the pinnacle of performance in the AI inferencing space with its processing prowess enabled by Intel Xeon Platinum processors and NVIDIA L40S GPUs. The PowerEdge R760xa server shines as an Artificial Intelligence (AI) workload server with its cutting-edge inferencing capabilities. Table 1: SUT configuration of the Dell PowerEdge R750xa, R760xa, and R7615 servers for MLPerf Inference v4.0 The following table shows the System Under Test (SUT) configuration for the PowerEdge servers. Additionally, we also compared the PowerEdge R750xa server with the NVIDIA A100 GPU to its successor the PowerEdge R760xa server with the NVIDIA L40S GPU. In the following comparisons, we held the GPU constant across the PowerEdge R760xa and PowerEdge R7615 servers to show the excellent performance of the NVIDIA L40S GPU. This blog provides relevant conclusions about the performance improvements that are achieved on the PowerEdge R760xa and R7615 servers with the NVIDIA L40S GPU compared to the PowerEdge R750xa server with the NVIDIA A100 GPU. This blog highlights Dell Technologies’ closed division submission made for the Dell PowerEdge R760xa, Dell PowerEdge R7615, and Dell PowerEdge R750xa servers with NVIDIA L40S and NVIDIA A100 GPUs. ![]() Dell Technologies recently submitted results to the MLPerf™ Inference v4.0 benchmark suite.
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