mosecorg / mosecLinks
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
☆894Updated last week
Alternatives and similar repositories for mosec
Users that are interested in mosec are comparing it to the libraries listed below
Sorting:
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆832Updated 5 months ago
- RayLLM - LLMs on Ray (Archived). Read README for more info.☆1,263Updated 10 months ago
- ☆413Updated 2 years ago
- Model Deployment at Scale on Kubernetes 🦄️☆833Updated last year
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆667Updated this week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,092Updated 7 months ago
- Large-scale model inference.☆627Updated 2 years ago
- A high-performance inference system for large language models, designed for production environments.☆491Updated last month
- Autoscale LLM (vLLM, SGLang, LMDeploy) inferences on Kubernetes (and others)☆279Updated 2 years ago
- Serving multiple LoRA finetuned LLM as one☆1,140Updated last year
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆504Updated last week
- LLMPerf is a library for validating and benchmarking LLMs☆1,084Updated last year
- A Survey of AI startups☆402Updated 2 years ago
- 🏕️ Reproducible development environment for humans and agents☆2,178Updated this week
- Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀☆1,688Updated last year
- ☆328Updated last week
- Efficient AI Inference & Serving☆479Updated 2 years ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆217Updated last week
- A Python vector database you just need - no more, no less.☆642Updated last year
- Fast Inference Solutions for BLOOM☆566Updated last year
- OpenAI compatible API for TensorRT LLM triton backend☆220Updated last year
- Fast, Flexible and Portable Structured Generation☆1,527Updated last week
- LLM Inference benchmark☆433Updated last year
- GPU environment and cluster management with LLM support☆656Updated last year
- Module, Model, and Tensor Serialization/Deserialization☆286Updated 5 months ago
- Common source, scripts and utilities for creating Triton backends.☆366Updated last week
- Bagua Speeds up PyTorch☆884Updated last year
- ☆541Updated 4 months ago
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆873Updated this week
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆677Updated this week