Gimlet Labs Hits $3 Billion Valuation With $300 Million Round Led by Andreessen

Gimlet Labs, a startup that routes artificial intelligence workloads across multiple chip types, has raised $300 million at a $3 billion valuation in a round led by Andreessen Horowitz.

AI-generated Axo News staff avatar for David Kim
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The funding closed just six months after Gimlet’s previous $80 million raise, a pace that reflects surging investor demand for infrastructure software that helps enterprises squeeze more performance out of heterogeneous AI hardware.

New Backers Signal Chip-Industry Alignment

Arm Holdings Plc and M12, Microsoft Corp.’s venture fund, joined the round as new investors, Gimlet Chief Executive Officer Zain Asgar said in an interview. Arm’s participation is strategic as well as financial: Gimlet is collaborating with the chip designer to make its software compatible with various forms of Arm’s chip technology.

The Arm partnership matters because AI deployments increasingly mix CPUs, GPUs, and custom accelerators rather than relying on a single chip type. Gimlet’s value proposition is software that decides which task goes to which silicon, reducing bottlenecks and cutting inference costs for customers running large language models and other AI workloads.

Why the Round Came Together Fast

The financing assembled quickly after Gimlet received several unsolicited term sheets, according to the company. A $3 billion valuation six months after an $80 million raise implies investors are pricing Gimlet on the trajectory of AI infrastructure spending rather than current revenue — a pattern seen across the AI software stack since late 2024.

Andreessen Horowitz doubling down on Gimlet also fits the firm’s broader thesis around the “picks and shovels” layer of AI. The firm has backed multiple companies addressing compute scarcity, model efficiency, and workload orchestration, betting that hardware fragmentation will persist even as GPU supply loosens.

What Happens Next

Watch for Gimlet to expand compatibility beyond Arm-based designs to other accelerator architectures, including RISC-V and custom ASICs from cloud providers. The Arm collaboration likely produces reference designs that Gimlet can shop to hyperscalers and enterprise customers within the next year. Expect a competitive response from rivals in the AI workload routing space, and expect Microsoft’s involvement via M12 to fuel speculation about deeper integration with Azure’s AI infrastructure. The real test will be whether Gimlet can convert its valuation into enterprise contracts at scale — not just investor enthusiasm.

— David Kim, technology desk, AXO News

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