GPU Server Build Guide — 2026

Building a GPU server for AI training, inference, rendering, or HPC in 2026? Alo Info USA configures complete GPU server BOMs with NVIDIA H100, H200, B200, L40S, L4 GPUs in Dell PowerEdge R760xa, HPE ProLiant DL380a Gen11, Lenovo ThinkSystem SR675 V3, Supermicro SuperServer platforms.

Single-Server GPU Configurations

4x L40S 48GB Inference Server (R760xa / DL380a Gen11)

  • Dell R760xa or HPE DL380a Gen11 4U chassis
  • 2x Intel Xeon Gold 6448Y (32-core)
  • 512GB DDR5-4800 ECC RDIMM
  • 2x 1.92TB NVMe boot + 8x 7.68TB NVMe data
  • 4x NVIDIA L40S 48GB (passive)
  • 2x 100GbE Mellanox ConnectX-7
  • ~$59K-$79K DDP worldwide

8x H100 SXM5 Training Server (NVIDIA HGX H100)

  • Supermicro AS-4124GO-NART+ or NVIDIA HGX H100 8-GPU baseboard
  • 2x AMD EPYC 9554 64-core
  • 2TB DDR5-4800 ECC RDIMM
  • 8x NVIDIA H100 80GB SXM5 with NVSwitch
  • 4x Mellanox NDR ConnectX-7 400Gb HCAs
  • ~$239K-$329K DDP worldwide

8x B200 192GB Build (Frontier AI / LLM Training)

  • NVIDIA HGX B200 baseboard / Supermicro AS-X14B-NRT
  • 2x AMD EPYC 9654 96-core or Intel Granite Rapids
  • 4TB DDR5-5600
  • 8x NVIDIA B200 192GB SXM6 NVLink 5
  • 8x Mellanox XDR ConnectX-8 800Gb
  • ~$399K-$549K DDP worldwide

Personal / Workstation GPU Server

NVIDIA DGX Spark / ASUS Ascent GX10

GB10 Grace Blackwell + 128GB unified memory + 4TB NVMe for developers. $12K-$17K DDP

Single-GPU Workstation (Dell Precision 7960 or HPE Z8 G5)

1x H100 80GB / 1x L40S 48GB + Xeon W3500 + 256GB RAM. $24K-$49K DDP

Multi-Node SuperPOD + Reference Architectures

For 32-node + 1,000-node clusters: NVIDIA DGX SuperPOD design + Mellanox InfiniBand spine-leaf fabric. Contact us for custom SuperPOD BOMs.

Get a 24-Hour GPU Server Quote

Send workload spec (model size, training/inference, throughput target) to info@alotechsolutions.com. POs accepted.

Related Pages

AI Server Build Quote | NVIDIA to Singapore | Mellanox to India

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