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SERVERS
Configure-to-order GPU servers for training and inference — from single-socket inference nodes to 8-GPU HGX and OAM systems, validated to your workload before they ship.
HOW TO CHOOSE
KNOW YOUR TOPOLOGY

CPU TOPOLOGY
Single-socket or dual. Single sockets keep cost and power draw low for inference. Dual sockets add the cores and PCIe lanes that heavy data preprocessing runs through before training even starts.
GPU DENSITY
4x GPU keeps builds focused and budget-friendly for fine-tuning and smaller models. 8x GPU is the density training and large-model inference actually require.
GPU TOPOLOGY
PCIe topology fits inference and budget-conscious training. SXM and HGX topology exist for one reason: GPU-to-GPU interconnect fast enough that GPUs stop waiting on each other.
WORKLOAD INTENT
Training is GPU↔GPU constrained — topology matters immensely. Inference focuses on latency, throughput, and memory capacity.
QUICK REFERENCE
MATCH THE WORKLOAD
See your use case, then find the recommended platform below. Every FlexGrid server ships configured to order — the cards above show a starting point, not the only option.
| Use case | Type | Recommended platform |
|---|---|---|
| Budget-constrained training or inference | Either | 1-socket, 2–4 GPU (PCIe) — configurable from FlexGrid G2E2 |
| Training with >100 GB batch sizes | Training | SXM / HGX Platform (4U or 9U) — FlexGrid HG8E2 |
| 100B+ LLM that must fit in GPU memory | Inference | SXM / HGX Platform — GPU topology critical — FlexGrid HG8E2 or FlexGrid MI8E2 |
| Serial data preprocessing (e.g. video → tensor) | Training | Dual AMD EPYC — max core count and speed — FlexGrid MG4E2 |
| Multi-model serving and batched inference | Inference | 4U Dual CPU — 8x GPU (PCIe) — FlexGrid MG4E2 |
AI WORKSTATIONS
Need something smaller? Explore deskside GPU workstations for prototyping, fine-tuning, and on-prem inference before scaling to server-class hardware.
THE CORSAIR DIFFERENCE
READY TO BUILD YOUR SERVER?
TALK TO AN EXPERT
Our solutions architects can help you match the right platform to your training or inference workload.



