Core Platform
Infrastructure Intelligence
Live comparison and advisory across AI compute providers. Make informed infrastructure decisions based on cost, latency, compliance and capacity, not vendor marketing.
40+
Providers tracked
200+
Models indexed
30+
Regions covered
25+
Data points per model
Full provider comparison
Indicative data across major AI inference providers: cost, latency, compliance and routing signals.
Fetching live provider data…
Platform capabilities
Provider Comparison
Side-by-side analysis of model providers across pricing, latency, region, uptime and capacity. Refreshed periodically.
PricingSLAAvailability
Inference Cost Modelling
Model your current and projected inference spend across providers. Identify the cheapest compliant route for each workload.
CostForecastingRouting
Compliance Mapping
Map data flows, storage locations and model providers against GDPR, UK DPA, HIPAA and sector-specific requirements.
GDPRUK DPASovereignty
Latency Benchmarking
Measure real-world latency across providers and regions for your specific workload types and token volumes.
P50/P99RegionsWorkloads
Capacity Intelligence
Track GPU availability, reserved capacity offers and rate-limit risks across major cloud and inference providers.
GPUReservedSpot
Smart Routing Advisory
Recommendations on which workloads belong on which models, providers and regions based on your cost and compliance profile.
AdvisoryRoutingOptimisation
RaisePath Intelligence Frameworks
Proprietary frameworks for AI infrastructure economics
RaisePath has developed a set of frameworks for understanding, measuring and communicating AI infrastructure risk and cost.
GLI
The RaisePath GPU Leakage Index
A framework for assessing how much AI compute budget is lost through underutilised, misallocated or poorly sourced GPU capacity.
AID
The RaisePath AI Infrastructure Debt
The long-term cost created when companies make short-term AI infrastructure decisions without considering scale, portability and future workload requirements.
CF
The RaisePath Compute Fragmentation
The operational problem caused when teams source AI compute across different vendors, regions and contracts without central visibility or coordination.
IWR
The RaisePath Inference Waste Ratio
A measure of how much AI inference spend is being lost through inefficient model routing, poor caching, overpowered infrastructure or unsuitable deployment choices.
Get infrastructure intelligence before your competitors do
Infrastructure access is becoming strategic. Get in touch to discuss how RaisePath can support your organisation.
For clients needing deeper transaction-level verification - Infrastructure Diligence.