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The Best AI Servers in 2025: Dell, HPE, Lenovo, and Supermicro Compared

AI servers are in high demand, but choosing the right one isn't always straightforward. Many IT decision-makers face the same dilemma: Do you go for the latest and greatest, or is there a smarter way to get the power you need without overpaying? We recently spoke with a data center manager who was struggling with exactly this—his team needed more AI compute power but had a tight budget.


AI Servers and GPUs: Save Up to 80%

The market offers several options from top brands like Dell, HPE, Lenovo, and Supermicro, making it crucial to choose the right fit for your workload.


Compare AI servers from Dell, HPE, Lenovo, and Supermicro for AI training, HPC, and inference workloads. Explore high-performance GPU servers with NVIDIA A100, H100, L40S, RTX 6000 Ada, and AMD MI250. Learn about Dell PowerEdge XE8545, R760xa, R750xa, HPE Apollo 6500, Cray XD670, Lenovo ThinkSystem SR670 V2, and Supermicro SYS-420GP-TNR. Find cost-effective refurbished AI servers at server-parts.eu with the right balance of compute power, memory, NVMe storage, and networking for your data center.

 

Dell PowerEdge AI Servers


Dell’s AI servers focus on scalability, reliability, and high GPU density. The best AI models include:


📌 Dell PowerEdge XE8545 – Best for AI Training & HPC


Key Specs:

  • CPU: Dual AMD EPYC 7003 or 9004 (Milan/Genoa) with up to 128 cores total

  • GPUs: Supports 4x NVIDIA A100 (80GB) or H100 (80GB)

  • Memory: Up to 2TB DDR4 RAM (32 DIMM slots)

  • Storage: Up to 10x U.2 NVMe SSDs (PCIe 4.0)

  • Networking: Up to 2x 100GbE ports + optional Mellanox adapters

  • Power: 2x 3kW redundant PSUs

  • Best Use Case: AI/ML training, HPC, data analytics, and inferencing.


 

📌 Dell PowerEdge R760xa – Best for Mixed Workloads (AI & Compute)


Key Specs:

  • CPU: Dual Intel Xeon 4th Gen (Sapphire Rapids), up to 60 cores per CPU

  • GPUs: Supports 2x or 4x NVIDIA A100/H100/L40S GPUs

  • Memory: Up to 2TB DDR5 RAM (16 DIMM slots)

  • Storage: Up to 10x U.2 NVMe or 4x PCIe Gen4 SSDs

  • Networking: Multiple 10/25/100GbE options

  • Best Use Case: AI inference, analytics, mixed AI/CPU workloads.


 

📌 Dell PowerEdge R750xa – Cost-Effective GPU Server


Key Specs:

  • CPU: Dual Intel Xeon 3rd/4th Gen, up to 32 cores per CPU

  • GPUs: Up to 3x NVIDIA A100/A40/L40S

  • Memory: 2TB DDR4 RAM

  • Storage: 12x U.2 NVMe SSDs

  • Best Use Case: Entry-level AI, GPU virtualization, media processing.


 

📌 Dell PowerEdge R660/R760 – For Smaller AI Tasks


Key Specs:

  • GPUs: 2x NVIDIA A100/A40

  • Memory: 1TB DDR5 RAM

  • Storage: Up to 8 NVMe SSDs

  • Best Use Case: AI inference, smaller AI deployments.


 

HPE AI Servers


HPE’s AI servers focus on high-performance computing (HPC) and AI scalability.


📌 HPE Apollo 6500 Gen10 Plus – Most Powerful AI Server


Key Specs:

  • CPU: Dual AMD EPYC 7003 (Milan) or 9004 (Genoa)

  • GPUs: Supports 8x NVIDIA A100/H100/L40S or AMD MI250

  • Memory: Up to 4TB DDR4 RAM

  • Storage: Up to 16 NVMe SSDs

  • Networking: 200Gb/s InfiniBand, 100GbE, SmartNIC options

  • Power: Dual 3kW PSU

  • Best Use Case: Massive AI training, HPC clusters, high-scale deep learning.


 

📌 HPE ProLiant DL380a Gen11 – Balanced AI & Enterprise Server


Key Specs:

  • CPU: Dual Intel Xeon 4th Gen Sapphire Rapids

  • GPUs: Supports 4x NVIDIA A100, L40S, RTX 6000 Ada

  • Memory: Up to 2TB DDR5 (16 DIMM slots)

  • Storage: Up to 12 NVMe SSDs or HDDs

  • Best Use Case: AI inferencing, AI-powered VMs, financial modeling.


 

📌 HPE Cray XD670 – Supercomputing AI Server


Key Specs:

  • CPU: AMD EPYC 9004 series

  • GPUs: Up to 8x NVIDIA H100 SXM

  • Memory: Up to 6TB DDR5

  • Storage: Scalable NVMe storage pools

  • Best Use Case: AI supercomputing, government labs, medical AI.


 

Lenovo AI Servers


Lenovo’s ThinkSystem series balances AI compute with cost efficiency.


📌 Lenovo ThinkSystem SR670 V2 – Best for AI Inference & Mixed Workloads


Key Specs:

  • CPU: Dual Intel Xeon Ice Lake/Sapphire Rapids

  • GPUs: Up to 8x NVIDIA A100/H100 SXM

  • Memory: 4TB DDR5

  • Storage: Up to 10 NVMe SSDs

  • Power: Dual 2.5kW PSU

  • Best Use Case: AI inferencing, ML training, multi-GPU research.


 

📌 Lenovo ThinkSystem SR675 V3 – AMD-Based AI Server


Key Specs:

  • CPU: AMD EPYC 9004 series

  • GPUs: 6x NVIDIA H100/A100

  • Memory: 3TB DDR5

  • Storage: Up to 12 SSDs

  • Networking: 100GbE options

  • Best Use Case: Large AI model training, autonomous driving R&D.


 

Supermicro AI Servers


Supermicro specializes in high-density AI servers at competitive pricing.


📌 Supermicro SYS-420GP-TNR – Best for Multi-GPU AI Workloads


Key Specs:

  • CPU: Dual Intel Xeon 4th Gen

  • GPUs: Up to 10x NVIDIA H100 SXM

  • Memory: 4TB DDR5 RAM

  • Storage: Up to 24x NVMe SSDs

  • Best Use Case: Large-scale AI training, GPU virtualization.


 

📌 Supermicro SYS-821GE-TNHR – Compact AI Server


Key Specs:

  • CPU: AMD EPYC 9004

  • GPUs: 4x NVIDIA A100/H100 PCIe

  • Memory: Up to 2TB DDR5

  • Storage: 10x NVMe SSDs

  • Best Use Case: AI inferencing, AI-powered video processing.


 

AI Servers and GPUs: Save Up to 80%

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