Sold by: Ardent MC
Deployed on AWS
AiStreamliner is an open-source MLOps platform on Kubernetes that streamlines the ML lifecycle from data to deployment while simplifying LLMs and scaling
Overview
AiStreamliner connects every step: from managing your data to training, tracking, and deploying model all in one place. Built on Kubernetes, it scales easily, works with all major cloud providers, and keeps your workflows secure and organized. Kubeflow: Workflow orchestration and training MLflow: Experiment tracking and model registry KServe: Model serving and inference LakeFS: Data version control
Highlights
- Complete open-source LLMOps and MLOps platform. End-to-end workflow integration
- Kubernetes-based for scalable deployment
- Platform agnostic design
Details
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Delivery method
Supported services
Delivery option
AI Streamliner
Latest version
Operating system
Linux
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
NA
Legal
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Delivery details
AI Streamliner
Supported services: Learn more
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Updated the infrastructure versions.
Additional details
Usage instructions
Please ensure you have a kind cluster running locally prior to installation. Instructions can be found here: https://github.com/ArdentMC/ai-streamliner . A cluster can easily be made with the make cluster command.
An installation can then be initiated with the following command after ensuring you are in the proper Kubernetes context. docker run --rm -v $(pwd)/output:/output 709825985650.dkr.ecr.us-east-1.amazonaws.com/ardent-mc/aistreamliner:1.0.3-amd64 && cd output && ./deploy-ai-streamliner.sh
Resources
Vendor resources
Support
Vendor support
Premium Support: aistreamliner@ardentmc.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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