---
title: "Hardware guide"
description: "NVIDIA and Apple hardware for local and production inference."
canonical_url: "https://fanout.sh/inference-eng/hardware"
md_url: "https://fanout.sh/inference-eng/hardware.md"
access: "public"
---

# Hardware guide

NVIDIA and Apple hardware for local and production inference.

## Public overview

H100 SXM: The course's production reference accelerator: fast HBM, a server-only form factor, and the baseline for memory-bound decode math.

HGX H200: An eight-GPU Hopper baseboard for models and serving workloads that need more memory and bandwidth than one accelerator provides.

DGX B200: A complete eight-GPU Blackwell system for organizations operating large training and inference workloads as shared infrastructure.

---
This representation contains public Fanout content only. Protected Pro lessons, account data, billing, checkout, and pricing are not included.

Browse the public content map: https://fanout.sh/sitemap.md