← All projects

Luminal

Inference at the speed of light.

AI Toolsinferencecompilergpuasicllmhigh-performancemlops
Luminal screenshot

About

Luminal is an AI inference compiler that compiles and optimizes AI models ahead of time into native code for GPUs and ASICs, eliminating runtime overhead. It includes a hyperscale inference OS that dynamically schedules and load-balances workloads across heterogeneous compute clusters. The platform claims 2-3x throughput improvements over existing inference engines like vLLM and TensorRT-LLM.

Problem

Existing runtime inference engines interpret models dynamically, introducing overhead that limits throughput and increases latency at scale.

For

AI/ML engineers and enterprises running large-scale model inference workloads

How it works

Luminal compiles AI models ahead of time into optimized native GPU or ASIC code using graph-level IR, hardware-aware optimization passes, and zero-overhead code generation, then dynamically schedules workloads across heterogeneous compute clusters.

Business model

freemium

Status

waitlist

Similar projects