Qwak for AWS customers
Qwak partners with AWS to help data science teams simplify the build, train, and deployment of models with scalable machine learning workflows.
As an AWS Partner, Qwak has vast experience helping data science teams using AWS to achieve their most ambitious goals, with a powerful MLOps (Machine Learning Operations) platform, hosted on AWS.
Qwak architecture
Control Plane: Managed in Qwak’s cloud, handles non-sensitive metadata. It communicates with, and delegates sensitive operations (such as models and data operations), to the data plane.
Data Plane: Hosts the model repository, Feature Store, Qwak Inference Lake, and handles the model and data operations (model building, deployment, feature creation, etc).
Amazon S3
Model output data storage
Amazon Kinesis
Qwak feature store streaming
Amazon ElastiCache
Models and environments logs management
Amazon SageMaker
Notebook management
Amazon EC2
Compute resources
Amazon EKS
Qwak services management
Amazon ECR
Docker container registry
Don’t just take our word for it
A key aspect of Lili’s business strategy is harnessing data and machine learning to enhance customer solutions. This case study explores how Qwak, hosted on AWS, empowers Lili to leverage advanced machine learning capabilities and drive better customer outcomes.
Read case study
