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Copy file name to clipboardExpand all lines: articles/azure-netapp-files/solutions-benefits-azure-netapp-files-electronic-design-automation.md
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@@ -41,7 +41,7 @@ Tests conducted internally using an EDA benchmark in 2020 found that with a sing
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The following chart illustrates the test results.
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:::image type="content" source="./media/electronic-design-automation-benefits/latency-throughput-graph.png" alt-text="Chart comparing latency and throughput between large and regular volumes." lightbox="./media/electronic-design-automation-benefits/latency-throughput-graph.png":::
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:::image type="content" source="./media/solutions-benefits-azure-netapp-files-electronic-design-automation/latency-throughput-graph.png" alt-text="Chart comparing latency and throughput between large and regular volumes." lightbox="./media/solutions-benefits-azure-netapp-files-electronic-design-automation/latency-throughput-graph.png":::
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The 2020 internal testing also explored single endpoint limits, the limits were reached with six volumes. Large Volume outperforms the scenario with six regular volumes by 260%.
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The EDA workload in this test has been generated using a standard industry benchmark tool. It simulates a mixture of EDA applications used to design semiconductor chips. The EDA workload distribution is as such:
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:::image type="content" source="./media/electronic-design-automation-benefits/pie-chart-large-volume.png" alt-text="Pie chart depicting frontend OP type." lightbox="./media/electronic-design-automation-benefits/pie-chart-large-volume.png":::
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:::image type="content" source="./media/solutions-benefits-azure-netapp-files-electronic-design-automation/pie-chart-large-volume.png" alt-text="Pie chart depicting frontend OP type." lightbox="./media/solutions-benefits-azure-netapp-files-electronic-design-automation/pie-chart-large-volume.png":::
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| EDA Frontend OP Type | Percentage of Total |
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