The guide library
Illustrated guides to AI infrastructure, from your first GPU to running a fleet. Browse the covers, read the samples and find your next step.
Every guide has a public preview. The accelerator guide is free with an account; the other PDFs are included with Premium.
5 illustrated PDFs
Start with the foundations
Understand how GPUs, memory, models and networks work together. Start with the basic terms, then build up to inference, distributed training and running systems in production.
Included with Premium
From one GPU to a fleet
Follow a request through an LLM serving system. Work through cache capacity, batching, latency and scaling calculations, then practice the design decisions in mock interview rounds.
Included with Premium
Run inference across a cluster
Learn how a fleet routes requests, moves cached attention state and scales its workers. Compare NVIDIA Dynamo and llm-d through deployment examples, failure scenarios and capacity calculations.
Included with Premium
Choose and compare hardware
Get familiar with the GPUs and TPUs used for AI. Compare memory and connectivity, estimate whether a model fits, and plan what to measure before choosing a machine.
Free with an account
Understand the model you serve
Follow open model releases and the architecture changes behind them. Connect each design to its memory needs, deployment options and the checks that matter for your workload.
Included with Premium
