Real-world examples of how KernelFlow helps enterprises scale their AI infrastructure with confidence.
Northwind Bank runs its fraud detection models on KernelFlow. By leveraging intelligent routing and adaptive batching, they reduced GPU costs by 40% while maintaining sub‑50ms latency for critical transactions.
Meridian.AI uses KernelFlow to serve real‑time diagnostic models. With our KV‑cache optimization and deterministic scheduling, they achieved 65% lower P99 latency and doubled their inference throughput.
Helios Labs runs large‑scale AI research on KernelFlow. Our scheduler and cache tiering helped them achieve 89% average GPU utilisation and reduced model cold‑start times by 94%.
Axis Defense deployed KernelFlow in an air‑gapped VPC to meet stringent government security requirements. They now run mission‑critical AI workloads with zero‑trust isolation and 99.99% uptime.
