bentoml / yatai-deployment
π Launching Bento in a Kubernetes cluster
β17Updated 10 months ago
Alternatives and similar repositories for yatai-deployment:
Users that are interested in yatai-deployment are comparing it to the libraries listed below
- Simple dependency injection framework for Pythonβ20Updated 9 months ago
- A small utility module to make it simple to build BentoML Services into images inside Kubernetes clusters.β10Updated 4 years ago
- BentoML Example Projects π¨β136Updated last month
- Ray provider for Apache Airflowβ47Updated last year
- User documentation for KServe.β104Updated this week
- Distributed XGBoost on Rayβ147Updated 7 months ago
- MLFlow Deployment Plugin for Ray Serveβ43Updated 2 years ago
- A lightweight tool to get an AI Infrastructure Stack up in minutes not days. K3ai will take care of setup K8s for You, deploy the AI toolβ¦β125Updated 2 years ago
- RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.β325Updated last month
- Repository for open inference protocol specificationβ46Updated 6 months ago
- Flyte Documentation πβ77Updated this week
- Argoflow has been superseded by deployKFβ136Updated last year
- π² A curated list of MLOps projects, tools and resourcesβ186Updated 9 months ago
- Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML pβ¦β91Updated 10 months ago
- Ray-based Apache Beam runnerβ43Updated last year
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.β195Updated 2 years ago
- Run workflow on JupyterHubβ70Updated 3 years ago
- Kubeflow Pipelines on Tektonβ177Updated 3 months ago
- Incubating project for xgboost operatorβ76Updated 3 years ago
- A workshop with several modules to help learn Feast, an open-source feature storeβ86Updated last month
- Python SDK for building, training, and deploying ML modelsβ336Updated 2 years ago
- Performance optimization for Spark running on Kubernetesβ86Updated 4 years ago
- A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to β¦β190Updated this week
- Model Deployment at Scale on Kubernetes π¦οΈβ792Updated 9 months ago
- Kubeflowβs superfood for Data Scientistsβ631Updated 2 years ago
- fsspec filesystem for Alibaba Cloud (Aliyun) Object Storage System (OSS)β23Updated 2 weeks ago
- Metadata tracking and UI service for Metaflow!β196Updated this week
- Apache Nemo (Incubating) - Data Processing System for Flexible Employment With Different Deployment Characteristicsβ112Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β389Updated 2 years ago
- Fast model deployment on Google Cloud Runβ15Updated 11 months ago