Automate Model Deployment at Peak Performance Anywhere
Optimize and package your trained model in minutes so you can deploy it to any hardware target for faster, more cost-efficient inference. To realize these benefits OctoML will optimize your first model for free.
Empowering teams building intelligent applications
Maximize operational efficiency
Eliminate the need to hand tune models to improve engineer productivity while reducing cloud spend
Achieve hardware independence
Manage compute scarcity and become cloud provider agnostic without cost/performance compromise
Accelerate time-to-market
Innovate faster than your competition with model deployment that takes hours, not weeks
Improve end user experience
Create delightful product experiences by achieving optimal latency and throughput
To evaluate OctoML’s value to our content moderation work at WatchFor, we optimized our key vision model and realized 1.2x - 3x higher throughput and substantial inference speedups. We deemed the results worth moving to production.
Matthai Philipose
Senior Principal Researcher, Microsoft
Deploy faster models to any hardware with OctoML
1. Upload your pre-trained model and define your hardware
You can upload any model or choose one from our accelerated model hub. Next, select your current hardware – we support over 80 cloud targets from all three providers.
2. Set your goals and evaluate prospective hardware
We work with you to define your hardware parameters to find the ideal balance of latency, throughput and cost. See real, actionable before/after performance data and select your ideal instance type.
3. Deploy your model optimized for chosen hardware
The OctoML platform automatically produces a downloadable container with your model that is accelerated, configured, and ready to deploy on the hardware target of your choice.
OctoML Customers & Partners
OctoML drives down costs at Microsoft through new integration with ONNX Runtime ecosystem
Read about our work
DIY Gen AI: Evaluating GPT-J Deployment Options
Model optimizations can save you millions of dollars over the life of your application. Additional savings can be realized by finding the lowest cost hardware to run AI/ML workloads. Companies building AI-powered apps will need to do both if they want a fighting chance at building a sustainable business.
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.
Empower your team with OctoML
Easily get started by requesting your first model to be optimized and packaged for free by OctoML’s team of machine learning specialists and model optimization industry leaders. We’ll show you the possible performance gains and time savings you could realize with your optimized model, either on your existing or alternative hardware targets.