BentoML
To provide an inference platform built for speed and control, allowing AI teams to deploy any model anywhere with tailored optimization and efficient scaling.
At a Glance
- Enterprise AI teams
- AI/ML developers
- Fintech
- Gaming
- +1 more
AI Tools by BentoML
(1)BentoML
AI Model Inference Platform
Discussions
No discussions yet
Be the first to start a discussion about BentoML
Latest News
Products & Services
Unified open-source model serving framework with support for Python-based service definitions and multi-framework compatibility.
Fully managed AI inference platform offering serverless scaling, integrated observability, and secure deployment (BYOC).
Open-source platform for running any open-source Large Language Model (LLM) in production with optimized performance.
Optimization toolkit designed to improve LLM inference speed and resource efficiency.
Market Position
Described as the 'Hypervisor for AI compute', focusing on unifying the AI software stack from infrastructure to production deployment.
Leadership
Founders
Chaoyu Yang
Co-founder and CEO. Former software engineer at Databricks and early developer in the Apache Spark ecosystem. Currently GTM at Modular post-acquisition.
Bo Jiang
Co-founder. Previously a software engineer with a strong background in distributed systems and infrastructure. Focuses on AI researcher/engineer roles in AI safety and secure systems.
Executive Team
Chaoyu Yang
Founder and CEO
Databricks engineer, Apache Spark developer, University of Washington alumnus.
Bo Jiang
Co-founder
Distributed systems expert, Northwest University alumnus.
Board of Directors
Founding Story
BentoML started as an open-source framework for model serving in 2018. The vision was to simplify and optimize AI model deployment and serving, eventually evolving into a comprehensive platform for managing AI inference at scale.
Business Model
Revenue Model
Usage-based (BentoCloud) and Enterprise subscriptions for managed services.
Pricing Tiers
Hourly pricing based on specific CPU and GPU resources consumed.
Custom pricing for BYOC, VPC isolation, enterprise SLAs, and dedicated support.
Target Markets
- Enterprise AI teams
- AI/ML developers
- Fintech
- Gaming
- Consumer Lending
- Standardizing model packaging
- Enterprise-grade AI deployment
- Self-hosting Large Language Models
- Scaling image generation workflows
- High-performance real-time inference
- Yext
- Jabali AI
- LINE
- Over 10,000 organizations