LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
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☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
Open-source inference platform for language, vision, embedding, reranking, image, audio, and video models. Deploy with multiple engines across heterogeneous hardware, from a laptop to a distributed cluster. Serve models through OpenAI-compatible APIs.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
- model-serving
- mlops
- llmops
- generative-ai
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
- machine-learning
- scale
- workflow
- mlops
A framework for efficient model inference with omni-modality models
- diffusion
- inference
- model-serving
- pytorch
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
- version-control
- experiment-manager
- version
- control
Statistical Machine Intelligence & Learning Engine
- machine-learning
- regression
- clustering
- manifold-learning
A flexible, high-performance serving system for machine learning models
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
- knative
- machine-learning
- model-interpretability
- model-serving
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, websockets, optional readalong web UI
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
- kubernetes
- machine-learning
- deployment
- serving
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.
- federated-learning
- deep-learning
- distributed-training
- edge-ai
A minimal Python framework for building custom AI inference servers with full control over logic, batching, and scaling.
- ai
- api
- serving
- artificial-intelligence
Hopsworks - Data-Intensive AI platform with a Feature Store
- feature-store
- aws
- azure
- data-science