InfraOptimal
Provides autonomous inference-stack optimization, from serving engines to assembly, and dedicated inference endpoints continuously tuned to model workloads while preserving model quality.
Past recognitions
About InfraOptimal
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.
Products
Self-optimizing inference platform providing dedicated hardware, an endpoint URL and key, and continuous workload-specific tuning across the serving stack.
Security and compliance
As reported by InfraOptimal. Ask for audit reports before you buy.
- Traffic is encrypted in transit.
- Platform and endpoint keys are displayed once and stored as hashes for request verification.
- Access to customer records is restricted to service operators.
- Dedicated endpoint content is not used to train models.
- Personal data is not sold.
- Request analytics retain numerical measurements rather than request text; startup and failure diagnostics and custom containers may retain more.
- Saved cloud and repository credentials expire after 30 days or when disconnected.
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