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.

AWS

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).

Leveraging AWS Services

Qwak leverages multiple AWS services, including storage, compute, logs, dockers, and more.
Amazon S3

Amazon S3

Model output data storage

Amazon Kinesis

Amazon Kinesis

Qwak feature store streaming

Amazon ElastiCache

Amazon ElastiCache

Models and environments logs management

Amazon SageMaker

Amazon SageMaker

Notebook management

Amazon EC2

Amazon EC2

Compute resources

Amazon EKS

Amazon EKS

Qwak services management

Amazon ECR

Amazon ECR

Docker container registry

See the power of Qwak and AWS

Start your ML and AI journey with the power of Qwak and AWS.
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Qwak in AWS Marketplace

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Qwak in AWS Marketplace

Integrated with your EDP | Access Qwak via AWS Marketplace

Qwak in AWS Marketplace

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

With Qwak's intuitive MLOps platform and AWS, we achieve operational efficiency and smarter personalized experiences. We get to make data-driven decisions impacting the customers and driving the company metrics.