OctoML is an acceleration platform that allows the deployment of machine learning models on any hardware. It’s built on top of the open-source Apache TVM compiler framework project. It supports a wide variety of machine learning frameworks like PyTorch,TensorFlow, and ONNX serialized models as well as hardware backends like NVIDIA/CUDA, x86, AMD, ARM, Intel, MIPS, and more.
Benefits and features
- Supports common ML frameworks like Pytorch, TensorFlow and ONNX serialized models
- Allows to implement machine learning models on any hardware, in the cloud, or on the edge
- Optimization based on the topology of each hardware platform
- Benchmarking allows seeing how optimized models stand in comparison to other common models
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