Gimlet Labs Raises $80M Series A for Multi-Silicon AI Inference Cloud

Gimlet Labs, a San Francisco-based AI infrastructure startup, raised $80 million in a Series A funding round on March 24, 2026, led by Menlo Ventures with participation from Factory, Eclipse Ventures, Prosperity7, and Triatomic. This brings the company's total funding to $92 million following a prior seed round. The capital will fuel R&D for optimizing multi-chip deployments and expanding commercial operations, including hiring for engineering and customer success teams. Gimlet Labs develops software that orchestrates AI inference workloads across heterogeneous hardware, including CPUs, GPUs from NVIDIA, AMD, Intel, ARM, Cerebras, and d-Matrix. The platform splits tasks dynamically based on compute, memory, or network demands, enabling 3-10x faster inference at equivalent cost and power while utilizing idle hardware capacity that typically runs at 15-30% utilization.

Since its public launch in October 2025, Gimlet Labs has achieved eight-figure annual revenue, with its customer base more than doubling to include a major AI model developer and a large cloud provider. The technology addresses key industry pain points like NVIDIA vendor lock-in, GPU shortages, and compatibility issues that force costly code rewrites when switching chips. Partnerships with chipmakers position Gimlet to serve large AI model developers and data center operators via software or API access to its cloud service. This funding underscores surging demand for flexible AI infrastructure in a market projected to exceed $150 billion, as enterprises diversify beyond single-vendor stacks amid rising inference costs.