model-serving

A high-throughput and memory-efficient inference and serving engine for LLMs

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

Standardized Serverless ML Inference Platform on Kubernetes

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

🏕️ Reproducible development environment

AICI: Prompts as (Wasm) Programs

Olares: An Open-Source Sovereign Cloud OS for Local AI

MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.

Hopsworks - Data-Intensive AI platform with a Feature Store

High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.

The simplest way to serve AI/ML models in production

A highly optimized LLM inference acceleration engine for Llama and its variants.

A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine

Model Deployment at Scale on Kubernetes 🦄️

A throughput-oriented high-performance serving framework for LLMs

An open source DevOps tool for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI artifact.