Expanse provides a two‑week assessment service for on‑premise GPU clusters, automatically collecting telemetry to model job usage and predict resource fit and failure risk at submission time. It delivers a capacity report that reveals hidden GPU capacity and potential throughput gains, enabling research and AI teams to increase utilization without additional hardware or commitment.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations with GPU clusters experience chronic underutilization, leaving valuable compute capacity idle and increasing the cost per workload. Without detailed insight into actual usage patterns and failure risks, it is difficult to safely increase throughput or justify additional hardware investments.
Solution
Expanse offers a two‑week assessment service that automatically collects telemetry from an existing GPU cluster, builds a model of how jobs and users consume resources, and predicts resource fit and failure risk at submission time. The service delivers a capacity report that quantifies hidden, untapped GPU capacity and outlines how much additional workload can be safely run without hardware changes. Organizations can then decide whether to run a pilot based on the report’s findings, with no upfront commitment and full ownership of any insights generated.
Target Audience
Primary customers are research institutions, AI/ML teams, and enterprises that operate on‑premise GPU clusters and seek to improve utilization and throughput without additional hardware purchases.
Features
- One‑click deployment on the customer’s infrastructure with passive telemetry collection, requiring no changes to user workflows
- Automatic observation phase that models real‑world cluster usage and failure patterns without manual tuning
- Capacity report highlighting effective utilization, hidden GPU capacity, and potential throughput gains
- Risk prediction engine that assesses resource fit and failure likelihood for each job submission
- Optional pilot program to validate predicted gains before any long‑term commitment