Machine Learning development Services and Solutions to Unlock the Real Value of your Data with operationalizing and Scaling Machine Learning and Deep Learning Models. Empowering Continuous Delivery and DevOps for ML and DL models with Microservices using Docker, Knative, and Kubernetes for serverless and containerized environments on Private and Public Clouds.XenonStack offers an end-to-end Machine Learning deployment pipeline and Platform for MLOps with Automation using Terraform on AWS, Azure, and Google Cloud.
Machine Learning and Deep Learning
Pipelines Model Optimisation and Validation
Model Monitoring and Management
Customised Machine and Deep Learning Models
Model Migration and Integration with Apache Spark
With MLOps, Enterprises can Scale ML Operations and enable Machine Learning Model Governance at Scale.
Empowering Enterprise AI with MLOps
Machine Learning as a Service - Google, AWS, Azure, Open SourceExplore All
Building Machine Learning Models on Google Cloud with Cloud Machine Learning Engine
Building and Deploying AI and ML Models faster, Accelerating End-to-End Machine Learning Development lifecycle with Amazon SageMaker.
Developing Machine Learning Models with Azure Machine Learning Studio at scale, effectively adding intelligence to applications.
We are proud to announce that XenonStack is now a Kubernetes Certified Service Provider, Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation. We are also Silver Partner of the Linux Foundation and Cloud Native Computing Foundation. The CNCF encourages the development of cloud-based open-source applications by rendering technologies available to the open-source community and by promoting ecosystem development Kubernetes Certified Service Provider is a testimony to XenonStack’s dedication to contributing to Kubernetes’ growth. Many growing businesses come to XenonStack for solution compatibility with a Kubernetes environment, and with the status of KCSP Partner, Xenonstack now has the global recognition to back its expertise in delivering Kubernetes services.
21 April 2020
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