# Gimlet Labs Raises $300M Series B at $3B Valuation for Multi-Silicon AI Inference

> Gimlet Labs has raised a 300 million dollar Series B at a 3 billion dollar valuation, led by Andreessen Horowitz with Sapphire Ventures, M12, Arm, Menlo Ventures, and Factory joining, pushing total funding to 392 million dollars. The company builds what it calls a multi-silicon inference cloud, having only emerged from stealth in late 2025. The idea is to route AI inference intelligently across many kinds of hardware rather than betting on one. Its platform disaggregates workloads across GPUs, purpose-built accelerators, SRAM, and CPUs from vendors including Nvidia, AMD, Intel, Arm, Cerebras, and d-Matrix, and it claims up to tenfold gains in throughput and latency by matching each piece of work to the chip that runs it best. The bet fits the moment. As agentic AI drives token volumes up, the cost and speed of inference matter more than ever, and being hardware-agnostic is a hedge against both supply constraints and vendor lock-in. A round led by a16z at this size, this soon after launch, shows how much investor appetite there is for anything that makes inference cheaper and faster.

_Section: [AI Funding Tracker](https://www.wortins.com/funding) · Source: GlobalNewswire · Published Wednesday, September 9, 2026_

## Wortins' read

Gimlet Labs has raised a 300 million dollar Series B at a 3 billion dollar valuation, led by Andreessen Horowitz with Sapphire Ventures, M12, Arm, Menlo Ventures, and Factory joining, pushing total funding to 392 million dollars. The company builds what it calls a multi-silicon inference cloud, having only emerged from stealth in late 2025. The idea is to route AI inference intelligently across many kinds of hardware rather than betting on one. Its platform disaggregates workloads across GPUs, purpose-built accelerators, SRAM, and CPUs from vendors including Nvidia, AMD, Intel, Arm, Cerebras, and d-Matrix, and it claims up to tenfold gains in throughput and latency by matching each piece of work to the chip that runs it best. The bet fits the moment. As agentic AI drives token volumes up, the cost and speed of inference matter more than ever, and being hardware-agnostic is a hedge against both supply constraints and vendor lock-in. A round led by a16z at this size, this soon after launch, shows how much investor appetite there is for anything that makes inference cheaper and faster.

## Source

[Read the full story at GlobalNewswire](https://www.globenewswire.com/news-release/2026/09/04/3356707/0/en/now-valued-at-3-billion-gimlet-labs-raises-300-million-in-series-b-led-by-andreessen-horowitz-for-industry-s-first-multi-silicon-inference-cloud-for-agentic-ai.html)

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