PolyAI GPU Servers for Enterprise AI
Deploy demanding AI, LLM, deep learning and HPC workloads on-premise
with scalable Polywell GPU servers supporting up to 10 NVIDIA GPUs.
Built for demanding AI workloads
PolyAI GPU servers are designed for:
- Large Language Model inference and training
- Private and enterprise AI
- Generative AI
- Deep learning and machine learning
- Scientific computing and HPC
- GPU-accelerated research and development
Choose the PolyAI Server That Fits Your Workload
Four to ten NVIDIA GPUs per configuration — Intel Xeon or AMD EPYC platforms.
PolyAI 4U10G-X5
4U, 10-GPU Xeon® for AI Computing, Up to 10 x NVIDIA RTX PRO™ 6000/5000/4500, H100, H200 GPU Cards
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PolyAI 4U10G-E5
4U, 10-GPU EPYC™ 9005 for AI Computing, Up to 10 x NVIDIA RTX PRO™ 6000/5000/4500, H100, H200 GPU Cards
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PolyAI 4U8G-X6
4U, 8-GPU Xeon®, Up to 8 x NVIDIA RTX PRO™ 6000/5000/4500, H100, H200 GPU Cards
View details → PolyAI 4U8G-E5
4U, 8-GPU EPYC™ 9005 for AI Computing, Up to 8 x NVIDIA RTX PRO™ 6000/5000/4500, H100, H200 GPU Cards
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PolyAI 4U4G-E5
AMD EPYC™ 9005 Turin, 4 Triple-Slot for GPU Card ,12 U.2 NVMe, 3000W CRPS , 12-channel DDR5, IPMI 2.0
View details →Why PolyAI
- Configurations from 4 to 10 GPUs
- NVIDIA professional and data-center GPU support
- Intel Xeon and AMD EPYC platforms
- High-capacity DDR5 ECC memory
- Enterprise NVMe storage options
- Redundant server-grade power
- IPMI remote management
- Flexible configuration for different AI workloads
Need Help Choosing the Right Configuration?
Tell us your AI workload, preferred GPU, GPU quantity, memory and storage requirements. Polywell can help configure the appropriate PolyAI server for your project.