NVIDIA HGX B300 buyer’s guide
Air vs liquid cooling for HGX B300
Choose cooling for facility kW and training density—then configure Elite APEX hosts with fabric and contract-ready BOMs.
Buyer’s guide
NTS configures Elite APEX HGX B300 systems in Fremont with fabric, power, and contract-ready BOMs for large-model training and multi-node generative AI.
Use air when CRAH/CRAC capacity and rack density allow faster deploy without CDU plant. Move to DLC for sustained 8-GPU training, high kW/rack, and clock stability under continuous load.
TCO is dominated by silicon, power, cooling plant, and time-to-science—NTS models node kW, fabric, and air vs DLC CapEx/OpEx before PO.
Decide & configure
Pick air or DLC, then continue into Elite APEX SKUs, liquid hubs, staging, and contract vehicles.
Choose B300 for large-model training and multi-node generative AI where GPU-to-GPU NVLink/NVSwitch bandwidth matters, and programs standardize on Blackwell Ultra / B300 tooling with engineer-to-order EPYC or Xeon hosts.
Air suits facilities with adequate CRAH/CRAC and moderate density. DLC is recommended for sustained 8-GPU training, high kW/rack, and continuous-load clock stability—NTS includes CDU/manifold worksheets in architecture review.
Silicon, power, cooling plant CapEx/OpEx, fabric so GPUs are not starved, and time-to-science. NTS models node kW aggregation (including NICs/storage) and air vs DLC tradeoffs at your GPU count.
Systems quote on SEWP V, ITES-4H, and GSA MAS with BOM validation. Call-for-price catalog SKUs receive CLIN-aligned quotes rather than public Offer schema prices.