Luminal

Luminal compiles AI models to give you the fastest, highest throughput inference in the world.

Compiled inference, not interpreted

Unlike runtime inference engines that interpret models dynamically, Luminal compiles your model ahead of time into optimized native code for GPUs and ASICs, eliminating every layer of overhead.

• Graph-Level IR: Models are lowered to a minimal graph intermediate representation, a pure dataflow graph with no framework overhead.
• Hardware-Aware Optimization: The compiler applies fusion, tiling, memory planning, and scheduling passes tuned for each target, GPUs and ASICs.
• Zero-Overhead Codegen: Final code is emitted directly to GPU kernels or ASIC instructions with no excess runtime overhead.

Hyperscale Inference OS

Luminal dynamically schedules and load-balances inference workloads at any scale, from single accelerators up to large clusters of heterogeneous compute nodes, minimizing latency and maximizing throughput by optimizing inference topologies on-the-fly.

• Heterogeneous Compute: Inference across CPUs, GPUs, and ASICs deliver maximum throughput and superior TCO.
• Dynamic Load Balancing: Continuously monitors utilization across every node and redistributes work in real time to eliminate bottlenecks and hotspots.
• Lightning Quick Scaling: Nodes are dynamically booted and shutdown as workloads fluctuate, meeting peak loads without excess idle capacity.

Unmatched throughput

Our compiler-first approach eliminates runtime overhead entirely. Models compiled by Luminal consistently outperform existing inference engines by 2-3x on standard benchmarks.