Gimlet Labs Raises $80M to Transform AI Inference Infrastructure
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Gimlet Labs, an AI infrastructure startup, has secured $80m in Series Funding to address the problem of running AI models at scale efficiently. The company's multi-silicon inference cloud allows AI workloads to run across different types of hardware simultaneously, making it a potential game-changer for large AI model developers and cloud computing providers.
Gimlet Labs, a Silicon Valley-based AI infrastructure startup, has raised $80m in funding. The company is developing a multi-silicon inference cloud, which allows AI workloads to run across different types of hardware. This approach enables AI models to run more efficiently and cost-effectively. The funding will be used to further develop the technology. Gimlet Labs' platform is targeted at large AI model developers and cloud computing providers. The company's goal is to become a key layer in the modern AI stack, enabling companies to make the most of current hardware.
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