OctoML has raised a $28 million Series B funding round, bringing the company’s total amount raised to $47 million.
Addition led the round with participation from existing investors Madrona Venture Group and Amplify Partners.
Octomizer supports a 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.
Recently, the company was able to beat Apple’s Core ML 4 on Apple M1 by improving model performance by 1.5x.
