SAN FRANCISCO, Oct. 22, 2025 (GLOBE NEWSWIRE) -- Today Gimlet Labs, the Applied AI research and product company, launched with its platform that is the first to seamlessly decouple agentic AI workloads from underlying hardware, slice each workload into components and intelligently map each component to the hardware that is right-sized for its needs. Gimlet Labs has 8-figure revenues; its platform is deployed at AI-native and Fortune 500 companies, powering workloads that span multi-generation and multi-vendor hardware.

Industry luminaries on Gimlet Labs:

Sachin Katti, Chief Technology and AI Officer at Intel and Adjunct Professor at Stanford University, said: "The industry is hitting the limits of homogeneous, vertically integrated one-size-fits-all AI infrastructure. Agentic AI applications are inherently heterogeneous, reasoning across multiple models, modalities and data sources. These applications require heterogeneous hardware to scale but orchestrating workloads across diverse hardware remains a hurdle in practice. Gimlet provides the missing layer: abstracting heterogeneous hardware into a unified foundation that lowers cost, boosts performance and provides zero-friction deployments."

Pete Warden, founding member of the TensorFlow team, said: "As one of the founders of TensorFlow, I know from personal experience how hard it is to move models from GPU platforms that are optimized for training, to run on production hardware. Developers want to work in the frameworks they know. Gimlet lets developers seamlessly deploy on the best hardware without having to rewrite their application. It's one of the most game-changing technologies I've seen in AI, with the power to quietly unlock tens of billions of dollars in savings."

The current model ...