FinOps for AI Infrastructure
We help Series B+ AI startups control GPU and storage costs while scaling inference. From endpoint-level unit economics to market modeling, we pair FinOps rigor with deep infra expertise.
Who We Are
GPU Economics LLC is a consultancy focused on FinOps for AI infrastructure. We blend financial operations with deep knowledge of GPUs, HBM, SSDs, inference serving, and caching to keep your cost-per-request competitive as you scale.
Our Services
FinOps Consulting & Tooling
For Series B and Later AI Startups
- Custom FinOps frameworks tuned for AI workloads
- Cost allocation by API endpoint, microservice, or customer
- Unit economics modeling for inference and training
- Integration of FinOps tooling and vendor platforms
Market Projections & Technology Assessment
For AI Infrastructure
- GPU, HBM, and SSD pricing/performance forecasts
- KV-cache offload and AI storage adoption modeling
- Inference-serving stack and accelerator roadmap assessment
- Competitive landscape and vendor evaluations
Why Work With Us?
- Specialized focus: FinOps tailored to AI infrastructure
- Proven frameworks: Models for GPU and storage economics
- Independent expertise: Board, investor, and vendor support