Foundations
3 chapters
The machine: nodes, NICs, the operating system and why AI traffic is different
AI & HPC networking · from data hall to die
InfiniBand, RoCEv2, congestion control and fabric design, taught on a working model of an HGX B300 cluster. Every section has a 3D model. Every lab runs in a terminal inside the chapter.
01 / 07The cluster
Eight scalable units of HGX B300, wired rail-optimised through 64 leaf switches and 32 spines, every link 800 Gb/s. This is the machine the course takes apart.
The gap
Engineers who can debug BGP in their sleep, reason about ECMP by instinct, and design a VXLAN fabric from memory still walk into an AI data centre and find nothing familiar. What they need is scattered across vendor PDFs, conference talks and post-incident writeups.
ProDeploy pulls that material into one open, ordered platform. The chapters explain the hardware and the protocols; the labs let you run commands against live state and watch what happens. Corrections, new labs and better explanations are all welcome.
21
scenario labs in the simulator catalogue
32
chapters published and readable right now
How it works
01 · Read
Hardware, transport behaviour, congestion control and operator workflow, joined into one continuous read instead of eleven browser tabs.
02 · See
Each of the 309 sections opens on an interactive 3D model of the part of the cluster it teaches: the node, the rail, the queue, the optic.
03 · Run
21 labs run in an emulated terminal right where the idea is taught. As you type, a map of the lab's cluster shows which device answered and which cables the command touched.
dgx-node-a:~$
NIC statistics (ConnectX-7 · eth0):
rx_prio3_pause: 0
tx_discards_phy: 47291
link_state: up
DGX Node A › ConnectX mlx5_0 (eth0) → leaf swp1
Curriculum
32 chapters and 21 labs, in the order a cluster is built: the machine, the fabric, the physical layer, scale, then bring-up. Reading costs nothing. Sign in when you want your progress to follow you.
3 chapters
The machine: nodes, NICs, the operating system and why AI traffic is different
6 chapters · 10 labs
The fabric in motion: CLI, InfiniBand, lossless Ethernet, load balancing, topology, NCCL
4 chapters · 2 labs
Glass and copper, storage, telemetry and the GPU generations underneath
9 chapters · 2 labs
Scale-up and scale-out: NVLink domains, alternative topologies, routing, packet paths, OOB, addressing, UEC and congestion control
2 chapters · 2 labs
Steering and securing traffic: segment routing and AI fabric security
4 chapters · 5 labs
Spectrum-X in production: RoCE, adaptive routing, EVPN multi-tenancy
4 chapters
Cooling, bring-up, validation and the end-to-end design
Who this is for
Reading a BGP table and designing a VXLAN fabric are second nature. InfiniBand and RoCE are not — yet. This is the bridge between the two.
The servers are yours already; the fabric underneath them still behaves like a black box. This closes the distance between compute operations and network operations.
You are drawing GPU infrastructure and need to know exactly what a lossless fabric asks of you, at the protocol level and on the day it breaks.
AI fabrics are moving fast enough that catching up ad hoc does not work. Get the structured version before the first production incident arrives.
Desktop app
The deployment workspace as a native app: plan the cluster, run the bring-up, and investigate the fabric from your dock.
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Version 1.10.0 expands the reviewed library to 35 procedures, including fans, memory, batteries, drives, power-shelf controllers, configuration and diagnostics. Exact-model procedures require current official sources; missing documentation, unavailable sources and unverified firmware transitions remain clearly marked. Generate guided procedures without a project and download PDF or Word copies.
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