OctoML / Demos

See how you can use the new OctoML CLI tool to develop and deploy intelligent applications faster. Take a trained ML model from popular frameworks like TensorFlow, Pytorch, and ONNX and deploy it into your app in three easy steps.

Try the OctoML CLI and TransparentAI on your own at: https://try.octoml.ai/cli.

0:00 How Developers Use The OctoML CLI

1:40 Local Deployment

3:47 Acceleration

5:10 Cloud Deployment

See how IT Operations teams can accelerate and deploy ML models into production, at scale. This demo shows how to use the @OctoML CLI to improve the reliability, performance, and cost efficiency of your ML deployments.

Try the OctoML CLI yourself at try.octoml.ai/cli

0:00 How IT Ops Uses OctoML CLI

1:09 Improve Reliability

3:30 Improve Performance

5:22 Improve Cost Efficiency

7:00 Deploy to Kubernetes

Earlier this week at VMworld, we presented a short demo of how OctoML and VMware work better together with OctoML delivering ML model acceleration and VMWare providing great infrastructure to run AI at high performance.