OctoML
Accelerate AI innovation by automating ML deployment
Founded
2019
Based In
Seattle, WA
Core Technology
Apache TVM
About OctoML
OctoML offers a suite of tools and services designed to streamline the process of deploying machine learning models into production. By leveraging Apache TVM, their platform automates the complex task of optimizing ML models for specific hardware, which can lead to significant performance improvements and cost reductions. This allows data scientists and ML engineers to focus on model development rather than deployment intricacies. OctoML supports models from all major frameworks like TensorFlow, PyTorch, and ONNX, and can target a wide range of hardware, including NVIDIA GPUs, AWS Graviton, Intel CPUs, and ARM-based edge devices. Their core product aims to make any model faster on any hardware, reducing inference costs and latency for production AI applications.
Model Deployment Platform
Model Optimization
Automates the process of optimizing ML models for specific hardware targets to improve performance and reduce cost.
Framework Support
Supports models from major frameworks including TensorFlow, PyTorch, Keras, and ONNX.
Hardware Targets
Deploy models across a wide range of cloud and edge hardware, including CPUs, GPUs, and specialized accelerators.
Deployment Flexibility
Package optimized models into containerized applications for deployment in any environment.
Use Cases
Large Language Models (Llms)
Optimize and deploy large language and diffusion models with lower latency and cost.
Computer Vision
Accelerate inference for computer vision models used in applications like image recognition and object detection.
Edge Ai
Deploy high-performance models on resource-constrained edge and IoT devices.