Gimlet Labs Raises $300M at $3B Valuation to Build a Multi-Chip AI Inference Cloud

Gimlet Labs announced on September 4, 2026 that it raised $300 million in a Series B round led by Andreessen Horowitz, valuing the company at $3 billion. The round came just six months after an earlier $80 million raise, reflecting a rapid valuation increase driven by investor interest in AI compute efficiency.

What Gimlet Labs Builds

Gimlet describes its product as the industry's first multi-silicon inference cloud for agentic AI — software that distributes AI workloads across different types of chips rather than relying on a single chip architecture, aimed at making the increasingly compute-intensive process of running AI models faster and more cost-efficient.

Strategic Backers

• New investors in this round include Arm Holdings and Microsoft's M12 venture fund, alongside lead investor Andreessen Horowitz
• Gimlet is collaborating directly with Arm to make its software compatible with Arm's chip technology specifically
• The involvement of both a major chip architecture licensor (Arm) and a hyperscaler's venture arm (Microsoft M12) signals strategic as well as financial interest in chip-agnostic inference orchestration

What This Means for AI Infrastructure Buyers

Gimlet's rapid valuation growth — from an $80 million round to a $3 billion valuation in six months — reflects broader investor conviction that chip-agnostic inference orchestration is a durable, valuable layer in the AI infrastructure stack, distinct from the underlying chip suppliers themselves. For organizations planning AI infrastructure spend, the emergence of well-funded, strategically-backed players in this specific 'get more efficient use out of heterogeneous compute' category is worth tracking as a potential lever for reducing AI inference costs over time, independent of which underlying chip vendors an organization ultimately relies on.