Independent GPU
Intelligence for
Enterprise Teams
GPU Advisor was built because enterprise AI teams were making million-dollar infrastructure decisions using marketing materials and outdated benchmark posts. We built the tool we wished existed.
Our Mission
“Give every AI team — startup or Fortune 500 — the same quality of GPU infrastructure analysis that was previously only available to teams with dedicated infrastructure consultants.”
How We Work
Independent
No GPU vendor or cloud provider influences our analysis. Rankings, benchmarks, and comparisons are based purely on data — never on commercial relationships.
Always Current
Cloud GPU pricing changes weekly. We track it. Benchmark suites publish new results twice a year. We incorporate them within 2 weeks of release.
Built for Practitioners
Not marketing material. Real throughput numbers, honest TCO models, and deployment sizing tools that reflect how production infrastructure actually works.
Transparent
Every number on this site links to a source. Every methodology decision is documented. If something is estimated, it is marked as estimated.
What We Cover
17+ data center GPUs — NVIDIA Blackwell, Hopper, Ampere; AMD CDNA3/4; Google TPU v4/v5/v6
6 cloud providers — AWS, GCP, Azure, Lambda Labs, CoreWeave, RunPod
5 business intelligence tools — cost per token, ROI comparison, deployment sizing, scaling economics, business case
AI training calculator — cluster sizing, training time, cloud vs on-premise cost modeling
TCO calculator — total cost of ownership over 1, 3, and 5 year horizons
GPU Finder — guided wizard matching workload requirements to optimal hardware