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Affordable HPE ProLiant GPU Servers: Refurbished AI & HPC Servers with NVIDIA GPUs

A customer recently joked about needing to sell a kidney to afford a GPU server. While we aren't familiar with those prices, we can assure you that refurbished HPE ProLiant GPU servers for AI and HPC offer a cost-effective solution.


Affordable Refurbished HPE ProLiant GPU Servers

With a 5-year warranty, no upfront payment (test first, pay later), and fast availability, we make affordable GPU servers accessible to businesses. Let’s explore how you can get a budget-friendly GPU server (for AI and HPC) using refurbished HPE ProLiant Gen10 servers.


Affordable refurbished HPE ProLiant GPU servers from server-parts.eu, featuring NVIDIA GPUs for high-performance AI servers, GPU servers, and HPC servers. Ideal for enterprise data centers running deep learning, machine learning, AI inference, training workloads, NLP, computer vision, and HPC clusters. Save budget with tested, optimized, and warranty-backed AI GPU server solutions. Server-parts.eu

 

Why Choose HPE ProLiant Gen10 GPU Servers for AI and HPC?


HPE ProLiant servers—including the DL360, DL380, DL560, and DL580 Gen10—are widely used in AI data centers, HPC clusters, and enterprise environments. These x86 servers support high-performance AI GPUs, making them an excellent choice for deep learning, AI inference, and HPC workloads.


By combining refurbished GPUs with refurbished servers, businesses can get powerful AI and HPC servers without exceeding their budgets.


 

GPU Server for AI and HPC: How Many GPUs Fit?


The number of GPUs you can install in your AI and HPC servers impacts AI performance, cooling, and power requirements. Here’s a breakdown of GPU compatibility in different HPE ProLiant GPU servers:

Server Model

Supported GPUs

Recommended AI GPUs

Notes

HPE DL360 Gen10

1x Single-slot, low-profile

NVIDIA T4

Best for AI inference; limited GPU support due to space constraints.

HPE DL380 Gen10

2x Dual-slot, full-length

NVIDIA Quadro RTX 6000

Ideal for AI training and deep learning. Requires GPU riser kits.

HPE DL560 Gen10

2x Dual-slot, full-length

NVIDIA A100

Suitable for HPC workloads and AI training. Requires high-power PSUs.

HPE DL580 Gen10

4x Dual-slot, full-length

NVIDIA A100, V100

Best for high-density AI GPU computing. Supports HPC server workloads.

👉 Note: GPU support depends on power availability, cooling solutions, and specific configurations. Always check HPE QuickSpecs and NVIDIA compatibility guides before purchasing.


 

Why More GPUs Matter in AI & HPC Servers


🔹 More GPUs = More AI Performance: AI GPU servers with multiple GPUs accelerate AI training and inference


.🔹 Inference vs. Training: AI inference may only need 1-2 GPUs, but AI training demands 2-4 high-performance AI GPUs.


🔹 VRAM Considerations: Large AI models—like LLMs, NLP models, and computer vision AI—need high VRAM GPUs such as NVIDIA A100 (40GB/80GB) or H100 (80GB).


🔹 Refurbished GPUs = Cost Savings: Refurbished AI GPUs offer near-identical performance to new models at huge savings.


 

Key Considerations When Buying GPU Servers for AI & HPC


1️⃣ Cooling & Fan Configuration for AI GPUs


AI GPUs generate significant heat. Before upgrading HPE GPU servers, ensure:


High-performance cooling fans for proper airflow

Upgraded heatsinks for high-TDP AI GPUs like NVIDIA A100 (300W+)

Correct air ducting for HPE ProLiant GPU servers

Optional liquid cooling for extreme GPU density


 

2️⃣ Power Supply for GPU Servers


🔋 HPE DL360 Gen10: Upgrade PSU for GPU compatibility

🔋 HPE DL380 Gen10: Use dual 1600W PSUs for multiple AI GPUs

🔋 HPE DL560/DL580 Gen10: High-capacity PSUs essential for AI GPU servers

🔋 PCIe Power Connectors: Ensure 8-pin or 12-pin PCIe compatibility


 

3️⃣ PCIe Bandwidth & Bottlenecks in GPU Servers


Each HPE GPU server has PCIe slot limitations:


🔹 DL360 Gen10: PCIe 3.0 x8 per slot (may bottleneck high-end AI GPUs)

🔹 DL380 Gen10: PCIe 3.0 x16 slots (best for multiple AI GPUs)

🔹 DL560/DL580 Gen10: Supports full PCIe x16 bandwidth per GPU


 

4️⃣ CPU & RAM Considerations for GPU Servers


Intel Xeon Gold/Platinum CPUs recommended for AI workloads

⚡ Minimum 256GB RAM, ideally 512GB-1TB for deep learning

NVMe SSDs ensure fast AI data processing

RAID configurations for dataset protection


 

5️⃣ Networking & Expansion for AI & HPC GPU Servers


📡 InfiniBand or 100GbE NICs for distributed AI computing

🔗 NVLink Support for GPU-to-GPU high-speed communication

💾 AI Software Compatibility: Ensure CUDA, TensorFlow, PyTorch, ONNX support


 

Why Buy Refurbished GPU Servers for AI & HPC From Us?


Affordable GPU server solutions for AI and HPC—save thousands on hardware

Refurbished, tested, and AI-optimized servers

High-performance refurbished GPUs at huge savings

5-year warranty for long-term reliability

No upfront payment—test first, pay later

Fast availability—avoid long vendor lead times


 

Affordable Refurbished HPE ProLiant GPU Servers


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