Top AI tools for # model serving

Predibase is a comprehensive platform for fine-tuning and serving small language models, offering GPT-4 quality performance at significantly lower costs through advanced optimization techniques and efficient serving infrastructure.

• Usage Based

LMSYS Org is a leading organization dedicated to developing and evaluating large language models and systems, offering open-source tools and frameworks for AI research and implementation.

• Free

Spice.ai is an enterprise-grade platform that provides composable, ready-to-use data and AI infrastructure, offering SQL query capabilities, vector search, and model serving in a single AI backend-as-a-service.

• Contact for Pricing

CentML streamlines LLM deployment, offering advanced system optimization and efficient hardware utilization. It provides single-click resource sizing, model serving, and supports diverse hardware and models.

• Usage Based

BentoML is a unified inference platform for building scalable AI systems. Deploy any AI/ML model in your cloud with speed and flexibility.

• Usage Based

Radicalbit is an MLOps and AI Observability platform that accelerates deployment, serving, observability, and explainability of AI models. It offers real-time data exploration, outlier and drift detection, and model monitoring.

• Contact for Pricing

Hopsworks is an MLOps platform and feature store that enables organizations to build, deploy, and manage AI systems with reproducibility, consistency, and scalability. It offers a unified solution for GenAI, real-time applications, and traditional machine learning.

• Freemium

Baseten provides a high-performance platform for deploying and scaling AI models, supporting custom and open-source options with flexible cloud, self-hosted, or hybrid deployments.

• Freemium

Kubeflow is an open-source toolkit designed to make deploying, managing, and scaling machine learning workflows on Kubernetes simple and portable.

• Free

/ML offers a full-stack AI infrastructure for serving large language models, training multi-modal models on GPUs, and hosting AI applications such as Streamlit, Gradio, and Dash, while providing cost observability.

• Contact for Pricing