AI/MLDevelopersNews

Machine Learning Deployment Platform OctoML Raises $85 Million Series C

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OctoML has raised a $85 million Series C funding round, bringing the company’s total amount raised to $132 million. Tiger Global Management led the round with participation from existing investors Addition, Madrona Venture Group and Amplify Partners.

The new financing will fuel the next phase in the company’s growth, including expanding its leading ML deployment platform, and building on its growing ecosystem of hardware partners and cloud service providers.

Built on the Apache TVM open source framework, OctoML is a machine learning deployment platform that provides choice, automation and performance to organizations taking their trained models to production. The platform helps ML professionals achieve optimal performance across a breadth of cloud services and edge hardware endpoints, resulting in cost optimizations and accelerated time to market.

The platform also readily addresses the challenge of optimizing ML models to match the resources at the edge, which opens up opportunities for a new wave of intelligent apps.

John Curtius, Partner, Tiger Global, said: “We’re excited to welcome Luis and the co-founding team at OctoML to the Tiger portfolio, and look forward to playing a role in their next growth chapter.”

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