The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
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Updated
Jun 12, 2024 - Python
The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference Graph/Pipelines, LLM/RAG apps, and more!
Hopsworks Machine Learning Api 🚀 Model management with a model registry and model serving
A high-throughput and memory-efficient inference and serving engine for LLMs
Standardized Serverless ML Inference Platform on Kubernetes
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
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
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.
PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
AICI: Prompts as (Wasm) Programs
The simplest way to serve AI/ML models in production
A scalable inference server for models optimized with OpenVINO™
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.
JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
Examples of serving LLM on Modal.
Tools for easing the handoff between AI/ML and App/SRE teams.
Hopsworks - Data-Intensive AI platform with a Feature Store
🏕️ Reproducible development environment
📺 Instill Console for 🔮 Instill Core: https://github.com/instill-ai/instill-core
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