OctoML, a Seattle, WA-based provider of a machine learning deployment platform, raised $85m in Series C funding.
The round, which brought total amount raised to $132m, was led by Tiger Global Management with participation from existing investors Addition, Madrona Venture Group and Amplify Partners.
The company intends to use the funds to accelerate growth, including expanding its ML deployment platform, and building on its ecosystem of hardware partners and cloud service providers.
Led by Luis Ceze, CEO, OctoML leverages an Apache TVM open source framework to provide a machine learning deployment platform that aims to accelerate model performance while enabling deployment of models across any hardware platform, cloud provider, or edge device.
Core to the OctoML platform is an ecosystem of hardware and cloud vendors that extend support of Apache TVM and OctoML to any hardware endpoint. In the last month, the company has announced official partnerships with hardware vendors, including Qualcomm, AMD and Arm.
FinSMEs
01/11/2021