Dell vs Supermicro vs HPE: GPU Server Showdown

Over the past few weeks, we spotlighted three powerful AI-ready servers from Dell, Supermicro, and HPE. Now it’s time to stack them side by side and crown a winner.

But here’s the truth: the “best” server depends entirely on your workload.

Let’s break down where each server shines:

Dell PowerEdge XE9680

If your infrastructure demands the absolute best in bandwidth, GPU horsepower, and AI readiness, the XE9680 stands tall.

• Dual 5th Gen Intel Xeon CPUs

• Up to 128 cores and 4TB DDR5 at 5600 MT/s

• Supports up to 8x NVIDIA H100 GPUs

• PCIe Gen5 for maximum throughput

• Ideal for: AI inferencing, high-performance computing (HPC), LLM training, and ultra-scale data centers

Why it’s a winner: Dell delivers future-proof performance for organizations that need extreme compute at scale. Think hyperscalers, research labs, or enterprises pushing the boundaries of AI.

Supermicro AS-4124GO-NART+

Supermicro balances performance and density, providing one of the most memory-flexible and GPU-packed builds on the market.

• Dual AMD EPYC 7002/7003 CPUs

• Up to 128 cores and 8TB DDR4

• Up to 8x NVIDIA A100 or H100 GPUs

• 10x NVMe bays + 2 M.2

• Ideal for: Large-scale AI model training, distributed ML workloads, data science clusters

Why it’s a winner: With massive memory and GPU density, Supermicro is perfect for teams training models at scale—especially where physical space and TCO matter.

HPE ProLiant DL145 Gen11

Compact, power-efficient, and designed to operate outside of traditional data centers, the DL145 Gen11 brings enterprise-class computing to the edge.

• Single AMD EPYC 8004 processor

• Up to 64 cores, 768GB DDR5 at 4800 MT/s

• Up to 6 NVMe or 2 SFF drives

• No native GPU support

• Ideal for: Edge AI, remote workloads, lightweight virtualization

Why it’s a winner: This system is made for the edge—smart cities, industrial environments, branch deployments—where GPU power isn’t always necessary, but performance and reliability still are.

The Bottom Line

There’s no one-size-fits-all winner.

The right choice depends on where you compute, what you compute, and how much performance you need.

• Need extreme GPU throughput and high-bandwidth AI compute? Go with Dell.

• Training models at scale and need flexibility in memory/GPU density? Choose Supermicro.

• Deploying AI or virtualization at the edge? HPE is your go-to.

Explore all options here: https://www.servermonkey.com/gpu-servers