GPU & AI Infrastructure Guide

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GPU & AI Infrastructure — NVIDIA GPUs, HGX Systems & High-Speed Interconnects

Building an AI training cluster, GPU inference farm, or high-performance compute environment requires more than just GPUs — it requires the right interconnects, cables, and accessories to wire everything together at the speeds AI workloads demand. Resilient Tec specializes in the networking and interconnect layer of GPU infrastructure, with a catalog focused on NVIDIA/Mellanox platforms.

What's in This Collection?

• GPU Compute Hardware — the NVIDIA A40 48GB (part number 900-2G133-0000-000), available new and refurbished, plus NVIDIA A100, H100, A30 GPUs and HGX/DGX system components (new and refurbished)
• GPU Servers — tested Dell PowerEdge GPU builds, including the R740xd A40 build and GPU-ready chassis with the enablement kit installed. See the GPU Servers & On-Prem AI Guide
• High-Speed DAC & AOC Cables — 200G QSFP56, 400G QSFP-DD, and 800G OSFP cables for GPU cluster fabric wiring
• InfiniBand & NVLink Accessories — HDR and NDR InfiniBand cables and components for DGX SuperPOD and HPC clusters. Building on H100 or H200? See the H100 / H200 interconnect matrix for the right cable or optic on every link.
• Network Adapters — Mellanox/NVIDIA ConnectX NICs for GPU servers
• Internal GPU Power Cables — genuine HPE keyed 8-pin cabling for powering accelerators inside ProLiant Gen10 servers: the single HPE 869820-001 cable ($49, in stock) or the full 871829-B21 kit ($159, 3 cables + 2 adapters). Not sure which part number you need? Read 871828, 871829, 871830: Which HPE GPU Cable Kit Do You Actually Need?

Why Interconnects Matter in AI Clusters

In an AI training cluster, GPU-to-GPU bandwidth is as critical as compute. A bottleneck in the fabric — wrong cable length, incompatible transceiver, mismatched breakout config — can reduce training throughput across the entire cluster. Every interconnect product in this collection is:

• EEPROM-coded for NVIDIA/Mellanox Spectrum and Quantum platforms — no "unsupported optics" errors
• Tested for 800G OSFP, 400G QSFP-DD, and 200G QSFP56 configurations common in DGX and HGX builds
• Free US shipping on every order, with in-stock SKUs shipping from Knoxville, Tennessee

Common AI Cluster Configurations Supported

→ H100 / H200 cluster? See the link-by-link interconnect matrix: server optics, switch optics, breakout DACs and fiber

On-Prem Inference: The NVIDIA A40 48GB

For teams running LLM inference on hardware they own, the A40 is the most cost-effective route to 48GB of ECC data-center VRAM: a 70B model fits at 4-bit, and the 27–34B class runs at 23–29 tokens/sec. It is a passive 300W card with an EPS-style 8-pin power input, so it needs a server with GPU airflow and the correct GPU cable. Buy the A40 card on its own, or get it installed and tested in the R740xd A40 build. Measured numbers: What can you run on a 48GB A40?

The Resilient Tec Advantage for AI Infrastructure

• ✅ Deep expertise in Mellanox/NVIDIA interconnects — we've wired GPU clusters before
• ✅ EEPROM-coded cables — no compatibility errors that delay your cluster bring-up
• ✅ Lifetime warranty on all cables and transceivers
• ✅ Talk to a real engineer — not a chatbot — who knows DGX, HGX, and NDR InfiniBand

Building or expanding a GPU cluster? Contact us before you buy — we'll review your topology and make sure every cable and transceiver is right before it ships.