Plan Your
AI Infrastructure
Comprehensive guides, calculators, and comparison tools to help you make informed decisions about GPU selection, power planning, and total cost of ownership.
AI Infrastructure Planning Resources
Guides, specification data, comparisons, and calculators for planning GPU infrastructure. Each resource below states the question it answers, so you can go straight to the one that matches the decision in front of you.
TCO Calculator
Should we own this infrastructure or rent it?
Model total cost of ownership for an owned GPU deployment against cloud rental over a chosen time horizon, using assumptions you set for hardware, power, cooling, staffing, and utilization.
GPU Database
Which accelerator fits the workload?
Specifications for 18 NVIDIA and AMD accelerator records covering memory capacity, bandwidth, precision performance, and board power, with links to the detailed hardware pages.
Power Calculator
How much power and cooling does the site need?
Estimate server, rack, cooling, and facility input power from accelerator count, utilization, and PUE so you can start an electrical and mechanical conversation with real numbers.
Guides
How should we make this decision?
Written guidance on selecting accelerators for training and for production inference, and on planning data center cooling for high-density GPU racks.
Use these resources without registration. Contact SLYD when you want implementation support.
GPU Selection & Planning Guides
Expert guidance for building and scaling AI infrastructure
Training GPU Guide
How to select the right GPU for AI/ML training workloads. Covers H100, H200, A100, and more with detailed performance comparisons.
Read GuideInference GPU Guide
Selecting GPUs for production inference. Learn about throughput, latency, and cost optimization for serving AI models at scale.
Read GuideCooling Requirements Guide
Understanding air cooling, liquid cooling, and data center cooling strategies for high-density GPU deployments.
Read GuidePower and Cooling Calculator
Estimate server, rack, cooling, and facility input power for a GPU deployment, with the formulas and assumptions shown alongside the result.
Open CalculatorSide-by-Side Comparisons
Compare specifications, performance, and pricing across products
GPU Database
18 NVIDIA and AMD accelerator records. Compare memory, bandwidth, board power, and precision performance across generations.
Server Comparison
Compare AI-optimized servers from Dell, HPE, Supermicro, Lenovo, and Gigabyte. GPU capacity, form factors, and configurations.
OEM Comparison
Compare enterprise AI server OEMs by product coverage, support model, geography, procurement path, and lifecycle fit.
Infrastructure Planning Tools
Interactive calculators for cost and capacity planning
TCO Calculator
Calculate total cost of ownership for GPU infrastructure. Compare cloud vs on-premises, factor in power, cooling, and depreciation.
- Cloud vs On-Prem comparison
- 3-5 year TCO projections
- Power & cooling costs
Power Calculator
Calculate power requirements for GPU deployments. Factor in PUE, utilization, and generate electrical planning specifications.
- GPU power consumption
- Facility overhead (PUE)
- Electrical requirements
Cooling Requirements Guide
Written guidance on planning cooling for high-density GPU racks, covering how heat load, facility conditions, and server design drive the choice of cooling system.
- How heat load is derived
- Air, rear-door, direct-liquid, immersion
- What the site engineering must confirm
Need Technical Docs?
Explore our platform documentation for API references, integration guides, and technical specifications.
Need Help Planning Your Infrastructure?
Our team can help you navigate GPU selection, capacity planning, and deployment strategies.