Do you want to:
✅ Host your trained models as endpoints for inference?
✅ Ensure high throughput across all your hosted models in production?
✅ Have guaranteed availability of endpoints for your application?
✅ Host models that scale as per your application load?
✅ Deploy endpoints that are secured?
✅ Monitor all your endpoint interactions?
Yes? Don't worry, we have got you covered!
👉 Our off-the-shelf AutoMLOps infrastructure manages all operations like compute resource allocation to scale your models with high throughput and availability in an automated fashion!
👉 Thus, you get to focus on what's more important, your grand application!
AutoMLOps is a click away
Model deployment is the step that encapsulates your trained model in a production-ready infrastructure and enables AutoMLOps. All you need to do is click "Deploy".
👉 AutoMLOps provides the following desirable features that make your models business ready.
- Scalability: Handles varying amounts of load by dynamically adding or removing compute resources like virtual machines to the serving infrastructure.
- Availability: Ensures hosted model endpoints are always live. AutoMLOps employs redundancy via replicas for models and load balancers to always have a backup service.
- High Throughput: Supports a high rate of successfully completed requests per second. You can expect unlimited throughput that scales in linear time with our Platform.