InfraOptimal
Self optimizing dedicated inference endpoints
We need more computers faster than we can manufacture chips, while the average GPU workload sits below 50% utilization. The answer is not more, it is better use of what we already have. Infraoptimal runs open models as self optimizing inference endpoints: launch any model on your own cloud or ours, and each endpoint is tuned to its model, its workload and the hardware it runs on. Behind it, our agent-driven compiler expands the search space beyond a small set of deterministically discoverable optimizations to functionally equivalent ones, proposing novel methods from state of the art literature and validating them formally, leaving reusable transformations that get better with every program they optimize. We increase speed and throughput while decreasing cost and compute.
- Website
- infraoptimal.com
- City
- Boston
- Country
- United States
- YC batch
- Fall 2026
- Team
- 2 people
- Stage
- Early stage
- AI-native
- Yes
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