bentoml / Yatai
Model Deployment at Scale on Kubernetes π¦οΈ
β791Updated 8 months ago
Alternatives and similar repositories for Yatai:
Users that are interested in Yatai are comparing it to the libraries listed below
- β705Updated 2 years ago
- Fast model deployment on any cloud πβ175Updated 10 months ago
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and moreβ753Updated this week
- UnionML: the easiest way to build and deploy machine learning microservicesβ335Updated last year
- Kubeflowβs superfood for Data Scientistsβ631Updated 2 years ago
- ποΈ Reproducible development environmentβ2,081Updated this week
- A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machineβ808Updated this week
- ML pipeline orchestration and model deployments on Kubernetes.β436Updated last year
- User documentation for KServe.β103Updated this week
- Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)β247Updated last year
- 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¦β124Updated 2 years ago
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β720Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β389Updated 2 years ago
- π« Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and moreβ435Updated 3 years ago
- Feathr β A scalable, unified data and AI engineering platform for enterpriseβ1,863Updated 9 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β254Updated 3 months ago
- MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integraβ¦β1,470Updated this week
- A curated list of awesome projects and resources related to Kubeflow (a CNCF incubating project)β198Updated last month
- Docker for Your ML/DL Models Based on OCI Artifactsβ466Updated 11 months ago
- MLflow deployment with 1 commandβ171Updated this week
- The Virtual Feature Store. Turn your existing data infrastructure into a feature store.β1,826Updated this week
- π¬ modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud stoβ¦β379Updated this week
- Hopsworks - Data-Intensive AI platform with a Feature Storeβ1,188Updated 2 months ago
- Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elasβ¦β643Updated 8 months ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning modelsβ4,430Updated this week
- Standardized Serverless ML Inference Platform on Kubernetesβ3,787Updated this week
- The Fuzzy Labs guide to the universe of open source MLOpsβ452Updated 6 months ago
- ClearML - Model-Serving Orchestration and Repository Solutionβ140Updated this week
- A repository for Kustomize manifestsβ845Updated last week
- π² A curated list of MLOps projects, tools and resourcesβ185Updated 8 months ago