Hello and welcome back to the Powerland Blog series. Today we will discuss the new Dell PowerEdge 15G Rack Server series and what sets them apart. The PowerEdge 15G series has emphasized improving high-end performance with AI and high scale compute in mind. This new series of rack servers provide improved throughput, scalability, and accelerates high-performance computing workloads. The new Dell PowerEdge 15G series has two main units The XE7100 and XE8545 with the XE7100 coming with Intel Xeon® Scalable processors and the later coming AMD EPYC™ processors. Even though they have different processors and applications in mind both were design with high performance and scalability in mind. So, let’s jump into the specifics of these two and what they were designed for and how they improve performance.
First, we will cover the Dell PowerEdge XE7100 which comes with the industry’s highest storage density and configurable compute to match. This rack server is ideal for video storage and analysis. This rack offers up to 100 drive storage providing the industry’s highest storage density and speed of access. Leading this model to have reduced complexity using few systems, less cabling, and lower power consumption. This model is not only just a storage module it comes with two configurable server sleds, and this is where it gets interesting. These sleds depending on configuration can drastically change what the module can do from video streaming to medical imaging.
For example, if we wanted to create a highly scalable object store for density-optimized solutions, we could do that. By configuring the two sleds with 2 Intel Xeon® CPUs each and PCIe networking cards we get higher scalability, availability, and fewer bottlenecks. This solution is ideal for object storage stack software and by adding a NIC it’s a scalable building block for object archiving.
Next, we have the Dell PowerEdge XE8545 this rack server module was designed with AI in mind. It was created with the idea of improving Developing, training, and deploying machine learning models. The model looks to accelerate complex high-performance computing workloads or host accelerated virtualization services. It supports four NVIDIA A100 GPUs and NVLink ideal for the critical processes of Machine learning programs. It also supports up to two Gen 3 AMD EPYC™ CPU’s which each could have up to 64 cores. This maximizes peer-to-peer bandwidth and gives us high core counts and frequency. Next, through NVIDIA NVLink high-speed data processing, we get 3200 mega transfers per second with higher bandwidth through gen 4 PCIe. These features make this the ideal server for critical AI and ML Algorithms and performing statistical training and inferencing.
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