Guides

Understand the tradeoffs.
Specify with intent.

Short, practical explanations for decisions that affect the entire system—not a feed built to stay busy.

01

GPU planning · 5 min read

How much GPU memory does the workload need?

Capacity is not just the size of the model. Precision, runtime overhead, context, batch size, and parallel strategy all change the answer.
02

Platform design · 4 min read

PCIe or SXM: choose the platform before the part number

The form factor changes interconnect, power density, chassis choice, service model, and the way a system can expand.
03

Networking · 5 min read

ConnectX Ethernet or InfiniBand?

Both can deliver high-throughput RDMA. The decision depends on the existing network, operational model, traffic pattern, and scale target.
04

Software stack · 6 min read

GPU architecture and framework compatibility

A supported GPU is not the same as an optimized GPU. Drivers, CUDA, framework builds, kernels, runtimes, and containers determine which hardware capabilities the application can actually use.

Turn reading into a requirement

Use what you know. Flag what you don’t.

The Build Planner accepts “Need guidance” where a decision is still open. We’ll use the rest of the brief to narrow it down.

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