Infinity raises $15M to run AI inference on any chipset
$15M. That's what Infinity just raised to solve the chipset fragmentation problem killing inference economics.
Why it matters
As inference becomes the bottleneck in AI economics, startups are racing to decouple model optimization from hardware specificity. Infinity's software-first approach to chipset abstraction addresses a real pain point: every new accelerator requires custom kernel tuning, slowing deployment velocity.
The key facts
6 to knowInfinity Inc. raised $15M seed funding
$100M post-money valuation
Focus: automated software for AI inference optimization across heterogeneous chipsets
Use of capital: engineering team expansion and automated research scaling
Problem addressed: chipset-agnostic inference preparation
Published July 20, 2026 — recent market data
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SiliconAnglesiliconangle.com
Publisher excerpt: Early-stage AI infrastructure research company Infinity Inc. said it raised $15 million in seed funding to develop software that automatically prepares new artificial intelligence chips to run inference workloads. The round values the company at $100 million on a post-money basis. Infinity will use…