Hand-tuned model performance, minus the hand-tuning
We'll even take care of benchmarking and packaging.
Production-ready
Using Apache TVM, OctoML generates a hardware-specific optimized model for CPUs, GPUs, and accelerators. The result is performance comparable to state-of-the-art hand tuned libraries with no loss in accuracy.
Hardware optimized
Do you need to invest in faster (but expensive) hardware? We benchmark your model on diverse hardware targets to help you decide.
Run it everywhere
We'll package your model into a lightweight runtime, deployable to x86, NVIDIA GPUs, AMD, ARM, MIPS, RISC-V, etc. The runtime can be called from your language of choice, including Python, C++, Rust, Go, Java, and JavaScript.
Read about our work
How OctoML is designed to deliver faster and lower cost inferencing
2022 will go down as the year that the general public awakened to the power and potential of AI. Apps for chat, copywriting, coding and art dominated the media conversation and took off at warp speed. But the rapid pace of adoption is a blessing and a curse for technology companies and startups who must now reckon with the staggering cost of deploying and running AI in production.
OctoML attended AWS re:Invent 2022
Last week, 14 Octonauts headed out to AWS re:Invent. We gave more than 200 demos showing how OctoML helps you save on your AI/ML journey, and gave away a dream trip to one lucky winner.
Faster machine learning everywhere
Maximize Performance
Model acceleration through 5 engines and packaged for 100+ hardware targets.
Comprehensive Benchmarking
Get the best performance and lowest cost for running models in production.
Portable Deployment
Deploy in minutes using the OctoML CLI which outputs a Docker image package.
