A high-throughput and memory-efficient inference and serving engine for LLMs
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Updated
Dec 20, 2024 - Python
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.
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.
Standardized Serverless ML Inference Platform on Kubernetes
🚀 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.
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
🏕️ Reproducible development environment
AICI: Prompts as (Wasm) Programs
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.
Olares: An Open-Source Sovereign Cloud OS for Local AI
Hopsworks - Data-Intensive AI platform with a Feature Store
The simplest way to serve AI/ML models in production
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 scalable inference server for models optimized with OpenVINO™
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.
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
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