Machine Learning Toolkit for Kubernetes
Weaviate is a cloud-native, modular, real-time vector search engine
Private Open AI on Kubernetes
Distributed ML Training and Fine-Tuning on Kubernetes
An app that helps you monitor your Kubernetes cluster
Automated Machine Learning on Kubernetes
An MLOps framework to package, deploy, monitor and manage models
Training and deploying machine learning models on Amazon SageMaker
SkyPilot: Run AI and batch jobs on any infra
LLMs for your CLI
Unified Model Serving Framework
Machine Learning Pipelines for Kubeflow
Aqueduct allows you to run LLM and ML workloads on any infrastructure
A high-performance ML model serving framework, offers dynamic batching
Tools for using Langchain with Prefect
Training data (data labeling, annotation, workflow) for all data types
Build cross-modal and multimodal applications on the cloud
Build AI-powered semantic search applications
alvd = A Lightweight Vald. A lightweight distributed vector search
Deploy a ML inference service on a budget in 10 lines of code
Open Source ML Model Versioning, Metadata, and Experiment Management
Machine learning platform and recommendation engine on Kubernetes
Automated Linguistic Analysis, with both monolith and cluster versions