AI Servers: Guides, Hardware and Resources
This hub gathers Pogo Linux’s guides to AI server hardware, storage and deployment, and links each topic to the systems we build.
It is written for IT managers, engineers and data teams planning on-premises AI, whether that means a single GPU workstation or a full rack of servers. Pogo Linux, based in Redmond, Washington, has built custom servers and workstations since 1999.
Start here: what is an AI server?
New to the topic? What Is an AI Server? Hardware, GPUs, and When You Need One explains the components, the difference between training and inference, and how to decide between your own server and the cloud.
Choosing an AI server
Ready to buy? Best AI Server for On-Prem and Local AI in 2026: A Buyer’s Guide walks through sizing GPU memory, single vs. multi-GPU systems, power and cooling, on-prem vs. cloud cost and the right configuration for each use case.
More guides from the Pogo blog
AI and GPU workloads
Storage for AI data pipelines
- Explanation of NVMe over Fabrics (NVMe-oF) (2021)
- All-Flash NVMe Architecture Solutions (2021)
- What is High-Performance Object Storage? (2021)
- Why You Should Deploy On-Premises Object Storage (2020)
Flexible GPU and compute pools
- What is Composable Infrastructure? (2020)
- 5 Reasons to Deploy to a Composable Infrastructure (2021)
- Composability vs. Converged & Hyperconverged Infrastructure (2022)
On-premises or cloud
- Is 2025 the Year to Finally Adopt a Hybrid Cloud Strategy? (2025)
- 2025: Practical Guide to Implement a Hybrid Cloud Infrastructure (2025)
AI for IT operations
- How AI Is Transforming Log Management and Network Observability (2026)
- AI Security Reports & Audits: Cuts IT Prep Time for Federal, Financial, and Healthcare (2026)
Pogo Linux AI hardware
| Page | What you will find |
|---|---|
| AI servers | Ready-to-ship, pre-configured and custom AI and GPU servers |
| ASUS AI POD with NVIDIA GPUs | Rack-scale AI built on NVIDIA GB200 NVL72 |
| NVIDIA GPU workstations | Desk-side systems for development, training and rendering |
| NVIDIA GPU rackmount servers | Rackmount servers configured with NVIDIA GPUs |
| AMD EPYC servers | Server platforms built on AMD EPYC processors |
| Rackmount servers (Intel and AMD) | Custom rackmount compute for data processing and GPU hosts |
| NVMe storage servers | Fast storage to keep GPUs supplied with data |
| Composable infrastructure | Pool GPUs, NVMe, CPUs and NICs and assign them to servers on demand |
| Supermicro servers | Configurable Supermicro rackmount systems |
Coming next
This hub grows as new guides are published. Planned articles:
- On-prem AI servers: sizing, cost and build vs buy
- AI server racks and NVIDIA GB200 systems explained
- How to build an AI server
Talk to Pogo Linux engineers
Not sure which configuration fits your models, data and budget? Pogo Linux has been building custom Linux systems since 1999. Contact the team for a quote, or browse the AI servers page to see configurations.