kserve/kserve
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
- Stars
- 6.1k
- Forks
- 1.7k
- Open issues
- 72
- Last push
- today
About kserve
kserve is a free, open-source AI inference tool by kserve, written mainly in Go. Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes. It has 6.1k GitHub stars and 1.7k forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Go
- Stars
- 6,144
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
Similar free tools
vllm95k stars · A high-throughput and memory-efficient inference and serving engine for LLMs
BentoML8.9k stars · The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
pytorch105k stars · Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-lightning31k stars · Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
netron34k stars · Visualizer for neural network, deep learning and machine learning models
TensorRT-LLM15k stars · TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT
kserve FAQ
Is kserve free?
Yes. kserve is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does kserve run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does kserve need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is kserve still maintained?
Yes. It was last updated today and has 72 open issues on GitHub.
What are alternatives to kserve?
Similar free, open-source tools include vllm, BentoML, pytorch, pytorch-lightning.