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Luminal Raises Series A to Expand AI Inference Across More Chips

It plans to use the proceeds to expand engineering and go-to-market operations while broadening model and chip support.

A GPU and an ASIC share a connection on a test board / TokenPost.ai
A GPU and an ASIC share a connection on a test board / TokenPost.ai

Luminal AI Inc. raised a Series A led by Standard Capital to expand its software for running AI inference across different chips. The company plans to broaden hardware support for developers deploying AI models.

Luminal plans to use the financing to grow its engineering and go-to-market operations. It also plans to extend support for AI models and chips. Y Combinator, Felicis, SagaVC and Liquid 2 also participated in the round.

Luminal combines a compiler with a managed cloud service. Its compiler generates optimized code for graphics processing units (GPUs) and application-specific integrated circuits (ASICs), while the cloud service handles deployment of inference workloads.

Inference is the stage when a trained AI model runs to generate an output. Luminal’s software is designed to give developers options for running that work across GPUs and ASICs. Nvidia’s CUDA is a platform and programming model for GPU computing.

“The cost of running AI shouldn’t limit who gets to build it,” said Joe Fioti, Luminal’s co-founder and CEO.

The Series A follows Luminal’s $5.3 million seed round, announced Nov. 18, 2025.

John Kim

John Kim reports on the digital-asset business for TokenPost. Send corrections or tips to info@tokenpost.com.

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