GPUTracer

Every enterprise AI team has a GPU bill — but nobody knows if the spend is producing quality outputs. GPU Tracer is the first platform that correlates GPU cost with output quality at the request level. We identify waste clusters — expensive features generating mediocre AI — and tell you exactly which workloads to downgrade. Clients typically find 30–50% inference cost reduction opportunities. We target ML platform leads at companies spending $100k+/month on AI inference. Built on Google Cloud, Dynatrace, and Arize Phoenix. GPU tracer is the observability component that instruments the compute stack — from raw GPU hardware counters up through application-level spans — so every inference request carries a cost signal. It has four layers, each capturing different signals at different granularities.

Built With

• arize
• dynatrace
• fivetran
• golang
• google-cloud
• gpu
• llm
• otel
• pydantic
• python
• vectordb