Independent pricing intelligence for GPU-heavy cloud AI infrastructure.

Compare GPU pricing across your choice of 4 Hyperscaler and 5 Neocloud providers in seconds. No cloud logins or credentials required. Powered by 778K+ normalized pricing rows from 5.4M+ raw records, refreshed weekly.

• •Live price comparison across AWS, GCP, Azure, OCI + 5 neoclouds — filtered by GPU type, region, and commitment model
• •Side-by-side instance normalization (vCPU, VRAM, network, storage) with CSV export for analysis; procurement-formatted PDFs are still hardening
• •Bidirectional handoff with MapIt — pick a market geographically, price it commercially; pick a price commercially, map its geography back

MapIt is cross-provider geographic intelligence for deployment decisions. Start with provider footprint and canonical markets, then narrow to workload-fit and alternative geography. Performance is treated as feed-qualified signal, not assumed coverage. When the geography is settled, hand the scope to MPA in one click.

• •Three planning views — Footprint (who is here), Workload Fit (what markets can support my workload), Alternatives (where to look next)
• •Canonical market normalization across 9 providers — no more 'us-east-1' vs 'East US' guessing
• •Topology truth surfaced per market — published multi-zone vs single-location vs unknown; performance data stays pending until source feeds support it

Specify your requirements — vCPUs, memory, GPU type, GPU count, region, commitment model, and optimization goal — and Cloud Advisor scans candidate instances across 9 providers, ranks them by workload support and effective hourly rate, and returns ranked results with match scores, monthly estimates, and plain-English explanations — optimized for fast interactive recommendations.

• •Set requirements by vCPUs, memory, GPU type, GPU count, region, commitment, and optimization goal (e.g. best_gpu_value)
• •Scans across 9 providers and returns ranked results with Match Score (0–100) based on workload support and effective hourly rate
• •Top Recommendation, decision-ready — effective hourly rate, monthly cost, full GPU profile, region, and a plain-English rationale you can hand to procurement

GPU Audit identifies four categories of annual cost leakage against a comparable floor — the best matching collected price for your scope and purchase mode. Available on Pro and Enterprise plans.

• •Price Gap vs Comparable Floor — your current rate vs the comparable floor for the same GPU family, calculated across annual GPU-hours
• •Silicon Penalty — value loss from running on a less capable interconnect or form factor than premium NVLink / SXM deployments
• •Egress — transfer and cross-zone overhead applied to your annual GPU spend
• •Idle Waste — under-utilization from keeping more capacity running than your workload actually needs