Home > Storage > PowerScale (Isilon) > Industry Solutions and Verticals > Analytics > Deep Learning with Dell EMC Isilon > Compute node configuration
Deep learning methods would not have gained success without the computational power to drive the iterative training process. Therefore, a key component of deep learning solutions is highly capable nodes that can support compute intensive workloads. The state-of-art neural network models in deep learning have more than 100 layers which require the computation to be able to scale across many compute nodes in order for any timely results. The Dell EMC PowerEdge C4140, an accelerator-optimized, high density 1U rack server, is used as the compute node unit in this solution. The PowerEdge C4140 can support four NVIDIA Volta SMX2 GPUs, both the V100-SXM2 as well as the V100-PCIe models. The following figure shows the CPU-GPU and GPU-GPU connection topology of a compute node.