Gimlet Labs

AI Infrastructure · Semiconductors · Cloud Computing

Funding

Gimlet Labs raises $300M Series B at $3B valuation for multi-chip AI

Inference workloads are outgrowing single-chip data centers, making compute-per-watt efficiency the next battleground in AI infrastructure.

• Gimlet Labs raised $300 million in a Series B round led by Andreessen Horowitz, pushing its valuation to $3 billion.
• The startup builds a 'multi-silicon' inference cloud that splits AI workloads across different chip architectures, like GPUs and purpose-built accelerators, matching each task to the right silicon for speed and efficiency.
• New backers Arm Holdings and Microsoft's venture arm M12 joined the round alongside Sapphire Ventures and returning investors Menlo Ventures and Factory, bringing total funding to $392 million.
• The valuation jumped roughly 7.5x in just six months since Gimlet's $80 million Series A, which had valued the company near $400 million.
• Gimlet says it has added 'billions in contracted revenue' and gigawatts of data center pipeline since its Series A, as AI inference token generation has risen sixfold in a year.
• Gimlet is working with Arm to make its software compatible with more of Arm's chip variants as it expands its managed cloud service into customer data centers.
• As power becomes the binding constraint on AI buildouts, investors are betting that orchestrating heterogeneous chips—not just adding more GPUs—will determine who can serve inference demand profitably.