OctoML, a Seattle, WA-based machine learning acceleration platform, raised $28m in Series B funding round, bringing total amount raised to $47m.
The round was led by Addition with participation from existing investors Madrona Venture Group and Amplify Partners.
The company intends to use the funds to expand operations and its business reach.
Founded by creators of open-source Apache TVM, CEO Luis Ceze, CTO Tianqi Chen, CPO Jason Knight, Chief Architect Jared Roesch, and VP of Technology Partnerships Thierry Moreau, OctoML is a machine learning acceleration platform which aims to accelerate model performance while enabling seamless deployment of models across any hardware platform, cloud provider, or edge device. Built on Apache TVM, the ML open-source stack that powers the “Alexa” wake word and Qualcomm’s machine learning software, OctoML is an ML acceleration platform that automatically maximizes model performance while enabling continuous deployment. The company’s flagship product, Octomizer, enables engineering teams to deploy models in hours on any hardware, cloud provider, or edge device.
Octomizer already supports a wide variety of ML frameworks like PyTorch, TensorFlow, and ONNX serialized models as well as hardware backends like NVIDIA/CUDA, x86, AMD, ARM, Intel, MIPS, and more.
Companies like AMD, Qualcomm, Bosch, and Microsoft are already using OctoML’s technology.