Topic: ray-serve Goto Github
Some thing interesting about ray-serve
Some thing interesting about ray-serve
ray-serve,Experimenting with Ray Serve on KubeRay
User: blublinsky
ray-serve, contains the basic structure that a model serving application should have. This implementation is based on the Ray Serve framework.
User: carlososuna11
ray-serve,This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.
User: dhavalkumarpatel
ray-serve,A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
User: fork123aniket
ray-serve,A drop-in replacement of fastapi to enable scalable and fault tolerant deployments with ray serve
User: marwan116
ray-serve,Use Ray to deploy your remote services.
User: mpolinowski
ray-serve,This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.
Organization: ray-project
ray-serve,Building Real-Time Inference Pipelines with Ray Serve
Organization: ray-project
Home Page: https://docs.ray.io/en/latest/serve/getting_started.html
ray-serve,Serving Inside Pytorch With Multi-threads
Organization: torchpipe
Home Page: https://torchpipe.github.io/
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