bentoml / YataiLinks
Model Deployment at Scale on Kubernetes 🦄️
☆829Updated last year
Alternatives and similar repositories for Yatai
Users that are interested in Yatai are comparing it to the libraries listed below
Sorting:
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆864Updated this week
- Kubeflow’s superfood for Data Scientists☆654Updated this week
- ☆707Updated 3 years ago
- 🏕️ Reproducible development environment for humans and agents☆2,166Updated 3 weeks ago
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integra…☆1,633Updated this week
- Docker for Your ML/DL Models Based on OCI Artifacts☆472Updated last year
- User documentation for KServe.☆109Updated last week
- Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)☆278Updated 2 years ago
- A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine☆885Updated last week
- Hopsworks - Data-Intensive AI platform with a Feature Store☆1,268Updated 10 months ago
- deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform…☆458Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆395Updated 3 years ago
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elas…☆678Updated last year
- Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes. Run remote kernels, natively.☆204Updated 3 years ago
- A toolkit to run Ray applications on Kubernetes☆2,209Updated this week
- Distributed Model Serving Framework☆180Updated 2 months ago
- Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Ap…☆944Updated last year
- Controller for ModelMesh☆242Updated 6 months ago
- Kubeflow Deployment Manifests☆971Updated last week
- Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes☆4,924Updated this week
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆398Updated 11 months ago
- 🚀 Launching Bento in a Kubernetes cluster☆17Updated 9 months ago
- Fast model deployment on any cloud 🚀☆175Updated last year
- A Python vector database you just need - no more, no less.☆632Updated last year
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆667Updated 8 months ago
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.☆1,960Updated 5 months ago
- ClearML - Model-Serving Orchestration and Repository Solution☆159Updated last month
- Automated Machine Learning on Kubernetes☆1,648Updated last week