AI INFRASTRUCTURE EFFICIENCY ENGINE
Turn infrastructure telemetry into waste intelligence
WasteLens analyzes cloud, Kubernetes, GPU, infrastructure, AI workload and LLM usage data to identify under-utilization, idle capacity, over-provisioning and unnecessary AI spend. Upload your existing usage data. WasteLens normalizes heterogeneous records into a common consumption model, correlates signals across infrastructure layers, detects measurable inefficiencies and quantifies optimization opportunities.
INGEST
Upload existing usage data
CORRELATE
Connect cost, usage and utilization signals
OPTIMIZE
Identify measurable efficiency opportunities
From raw usage data to actionable intelligence
One analytical layer across infrastructure consumption.
What WasteLens analyzes
01
Cloud Cost & Usage
Cost, resource consumption and utilization signals.
02
Kubernetes & Containers
Workload allocation, requests, limits and utilization.
03
GPU & Accelerators
GPU utilization, memory, allocation and runtime.
04
AI Workloads
Jobs, models, resources and workload consumption.
05
LLM Usage
Models, requests, tokens and AI consumption.
06
Infrastructure Telemetry
CPU, memory, storage, network and capacity.
07
Model & Resource Fit
Workload requirements versus model and compute selection.
What WasteLens finds
Upload. Understand. Decide.
Bring your existing infrastructure data. WasteLens turns consumption signals into measurable optimization opportunities.