30x performance improvement, 30x cost reduction
Inference is costly and optimizing for one GPU or CPU instance can mean underutilizing other resources you're paying for. By using ML automation, OctoML can automatically maximize performance for each hardware target and reduce cloud costs.
Improved user experience
Increase model speed for lower latency and a faster user experience be it image segmentation, voice recognition, or visual search. OctoML can maximize performance, allowing you to do more with the same hardware stack.
Increased productivity
Forget the manual hand-tuning and benchmarking. OctoML automatically tunes and optimizes your model to give you a high-performing model without all the pain.
Lower costs
Drastically reduce your cloud computing costs by dramatically increasing the amount of inference you can do in each of your cloud instances.
OctoML delivered a 5x performance improvement for the model behind our Green Screen product. That improvement is critical for a seamless user experience for our customers.
Anastasis Germanidis
Co-founder and CTO OctoML
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.