Funding

California-Based Gimlet Labs Raises $300M in Series B Funding Round

Sep 8, 2026 | By Devin Jacobs

SUMMARY

  • Gimlet Labs raised $300M in Series B funding.
  • The funding will support AI infrastructure and team growth.
  • Gimlet Labs builds infrastructure for faster AI workloads.

Gimlet Labs, a San Francisco, CA-based artificial intelligence infrastructure and distributed software platform provider, has raised $300 million in a Series B funding round led by Andreessen Horowitz (a16z) at a $3 billion valuation.

The round also saw participation from Sapphire Ventures, Menlo Ventures, 645 Ventures, Arm, Eclipse, Emergence Capital, Factory, Hudson River Trading, M12, OnePrime Capital, Prosperity7, QuantumLight, Samsung Ventures, Tiger Global Management, Triatomic, Wing Venture Capital, and XTX Markets.

The company will use the capital to expand its multi-silicon cloud, secure high-density data center capacity, grow managed cloud deployments, and expand its team.

Funding Snapshot

MetricDetails
Fundraise Amount$300 million
Funding RoundSeries B
Valuation$3 billion
Lead InvestorAndreessen Horowitz (a16z)
CompanyGimlet Labs
SectorAI Infrastructure & Distributed Software
HeadquartersSan Francisco, California, USA

About Gimlet Labs

Founded by Zain Asgar, Michelle Nguyen, Omid Azizi, and Natalie Serrino, Gimlet Labs develops AI infrastructure designed to improve the performance and scalability of AI workloads. Its multi-silicon inference software allows AI models to run different phases of inference on the most suitable hardware, supporting faster and more efficient workloads.

Read More:California-Based ChipMango Raises $1.9M in Funding Round

Core offerings include:

  • Multi-silicon inference software
  • AI inference cloud
  • Workload orchestration
  • Heterogeneous hardware execution

Core Technologies / Products / Services

Capability/ProductApplication/Use Case
Multi-silicon architectureRuns AI workloads across different chips
Gimlet CloudManaged AI infrastructure
Workload orchestrationOptimises AI inference workloads
Hardware compilersImproves AI performance across diverse hardware

Leadership Comments

With Gimlet, our customers are able to serve massive volumes of tokens at very low latency, even as their AI workloads continue to grow across all dimensions. We’re able to deliver unprecedented performance because Gimlet software intelligently slices and orchestrates their workloads across different types of hardware from both mainstream and emerging chipmakers,” said Zain Asgar, co-founder and CEO of Gimlet Labs.

Gimlet has built a new kind of inference cloud, heterogeneous by design, that matches each workload to the right silicon. By making GPUs and purpose-built accelerators work as one system, Gimlet delivers dramatically more throughput, more interactivity and more intelligence from every watt. We believe this is where inference infrastructure is headed,” said Raghu Raghuram, managing partner at Andreessen Horowitz and Gimlet Labs board member.

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