Best GPU Server Under $15,000 (AI/ML)
AI/ML inference workloads run well on a refurbished GPU server budget. Dell R740xd + 2× NVIDIA Tesla T4, HPE DL380 Gen10 + A10, all viable under $15K refurbished.
Top Picks at This Budget
Dell PowerEdge R740xd + 2× NVIDIA Tesla T4 — $8,000-12,000
Specs: Dual Xeon Gold 6230 + 256 GB RAM + 2× T4 (16 GB GDDR6 each)
Best for: AI inference, LLM serving, video transcoding
HPE ProLiant DL380 Gen10 + 2× NVIDIA A10 — $10,000-14,000
Specs: Dual Xeon Gold 6230 + 384 GB RAM + 2× A10 (24 GB each)
Best for: CAD/CAM, video editing, advanced AI inference
Dell PowerEdge R7525 (AMD) + 4× T4 — $11,000-15,000
Specs: Dual EPYC 7763 + 512 GB RAM + 4× T4
Best for: Dense AI inference cluster, video farm
Workload Fit
Excellent
- LLM serving (Llama 2 13B, Mistral 7B)
- AI inference (computer vision, NLP)
- Plex/Jellyfin transcoding (30+ simultaneous 4K)
- CAD/CAM workstation backend
Marginal
- LLM training (need A100/H100 — $25-65K range)
- Stable Diffusion training (T4 marginal)
Frequently Asked Questions
T4 vs A10 vs A100 for AI?
T4 (16 GB) for inference + small fine-tuning. A10 (24 GB) for larger models, CAD workloads. A100 (40/80 GB) for training and large LLM inference. T4 is the entry tier; A100 is premium.
Can these run multiple AI workloads simultaneously?
Yes — with MIG (Multi-Instance GPU) on A10/A100, single GPU partitions into 7 isolated instances. T4 doesn't support MIG but handles multiple inference streams via CUDA streams.
Get a custom quote
Email sales@prodisknetwork.com with your budget and workload requirements. We will match you to the best refurbished options within your budget.