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// 60d agoINFRASTRUCTURE
Proxmox AI server build weighs Dell, HP options
A Reddit user asks LocalLLaMA to vet two budget-conscious server builds for forecasting, anomaly detection, and image inventory workloads over the next two years, with electricity costs front and center. The choice comes down to a legacy Dell-heavy setup versus a denser single-socket EPYC host paired with HP's ZGX Nano G1n AI Station.
// ANALYSIS
This is a total-cost-of-ownership question disguised as a hardware shopping list. The legacy Dell route buys redundancy, but it also buys idle power, fan noise, RAID complexity, and a lot of old silicon to babysit.
- –Version 1 spreads the budget across multiple aging rack servers, so the electricity and maintenance bill is likely to keep climbing even if the purchase price looks familiar.
- –The thread's early replies already lean away from the R730 generation and toward the R7515, which is the more sensible Proxmox base for the next two years.
- –HP's ZGX Nano G1n is the most modern piece in the mix, with 128GB unified memory, a 4TB NVMe SSD, and a 240W adapter, so it makes sense as a local prototyping or inference node.
- –The smartest split is probably hot compute on one efficient node and cold storage on separate cheap disks, not a cluster of legacy servers trying to do everything.
// TAGS
self-hostedinferencegpuproxmoxhp-zgx-nano-g1n-ai-stationdell-poweredge-r7515dell-poweredge-r730
DISCOVERED
60d ago
2026-03-28
PUBLISHED
60d ago
2026-03-28
RELEVANCE
7/ 10
AUTHOR
Lazy_Invite3133