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Luminal

Inference at the speed of light

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Luminal is an AI inference compiler that compiles models ahead of time into optimized native code for GPUs and ASICs, rather than interpreting them at runtime. It also provides a hyperscale inference OS that schedules and load-balances inference workloads across heterogeneous compute nodes, from single accelerators to large clusters.

The compilation pipeline lowers PyTorch and Hugging Face models to a graph-level intermediate representation, then applies hardware-aware passes including fusion, tiling, memory planning, and scheduling, emitting GPU kernels or ASIC instructions. The inference OS monitors utilization across CPUs, GPUs, and ASICs, redistributes work in real time, and dynamically boots and shuts down nodes as workloads fluctuate. Deployment options include Luminal Cloud, a managed serverless inference service with scale-to-zero and automatic batching, and an on-prem deployment with licensed cloud or on-prem use, custom kernel optimization, and dedicated engineering support.

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