Asus ESC8000A-E13P Server GPU Upgrades

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2025/12/05

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Asus ESC8000A-E13P GPU Configuration The Asus ESC8000A-E13P is a dual-processor GPU server designed for high density acceleration workloads, offering 8 PCIe 5.0 x16 dual-slot GPU card for maximum compute expansion. The system provides abundant PCIe lanes and bandwidth to drive multiple enterprise-grade GPUs simultaneously, making it ideal for AI/ML training, data analytics, rendering, and other GPU-accelerated business applications. The ESC8000A-E13P delivers the reliability, throughput, and scalability required for modern compute-intensive workflows in enterprise and datacenter environments. Technical Guide Cloud Ninjas Asus ESC8000A-E13P GPU Upgrade Tips The total number of GPU slots for the Asus ESC8000A-E13P Server is 8 for dual-slot GPUs dual-slot will run at x16 links. It is important to ensure that the PCIe generation is identical to the generation supported by the CPU. The Asus ESC8000A-E13P server supports PCIe 5.0 slots for the GPU. PCIe 4.0 is supported due to backwards compatibility. Ensure your chassis supports full-length / full-height or double-wide GPUs if needed. Note that some servers only support passive-cooled (blower) data-center GPUs such as NVIDIA A100/T4/L40 Buy “Asus ESC8000A-E13P” GPUs today from Cloud Ninjas! We recommend that you confirm the power supply and CPU and can support the newer GPU to avoid botlenecks or installation issues. The Asus ESC8000A-E13P has for GPU support, 3+1 Redundant 3200W 80 PLUS Titanium PSU. The memory generations supported by the Asus ESC8000A-E13P are, GDDR6, GDDR7, HBM3 and HBM3e. Upgrade to NVIDIA GPUs built for real-time ray tracing and high-speed viewports to speed up rendering and design workflows in apps like Blender, Maya, SolidWorks, and AI content creation. The Asus ESC8000A-E13P can support GPUs that range from 12GB of VRAM up to 94GB of VRAM, keep in mind some GPUs have NVLink bridges as perform much better than non NVLink GPUs, hence the higher the VRAM the more performance you get on your AI GPU