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!
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
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.
LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.
Olares: An Open-Source Personal Cloud to Reclaim Your Data
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 for humans and agents
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.
Community maintained hardware plugin for vLLM on Ascend
High-performance inference framework for large language models, focusing on efficiency, flexibility, and availability.
Hopsworks - Data-Intensive AI platform with a Feature Store
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
A framework for efficient model inference with omni-modality models
The simplest way to serve AI/ML models in production
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
A throughput-oriented high-performance serving framework for LLMs
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