BentoML
About BentoML
BentoML provides a Unified Inference Platform that enables developers to build and deploy scalable AI systems using any model on their preferred cloud infrastructure. The platform addresses the challenges of slow iteration and high costs in AI deployment by offering features like auto-scaling, low-latency serving, and seamless integration with existing cloud resources.
```xml <problem> Deploying AI models at scale is challenging due to slow iteration cycles and high infrastructure costs. Developers face difficulties in managing auto-scaling, achieving low-latency serving, and integrating AI systems with existing cloud resources. </problem> <solution> BentoML offers a unified inference platform that simplifies the deployment of scalable AI systems, regardless of the underlying model or cloud infrastructure. The platform enables developers to build inference APIs, job queues, and multi-model pipelines, accelerating the transition from prototype to production. By providing features like automatic horizontal scaling, optimized resource management, and seamless integration with cloud environments, BentoML reduces deployment complexity and lowers operational costs, allowing teams to focus on AI innovation. </solution> <features> - Open-source serving engine for building inference APIs, job queues, and compound AI systems - Local development and debugging capabilities for rapid iteration - Support for various AI applications, including LLM endpoints, batch inference jobs, and custom inference APIs - High throughput and low-latency LLM inference, optimizing GPU resource utilization - Automatic horizontal scaling based on traffic demands with fast cold starts - Modular scaling for multi-model pipelines - Integration with cloud GPUs for building and debugging - Auto-generated web UI, Python client, and REST API for simplified access to deployed AI applications - Token-based authorization for secure, controlled access </features> <target_audience> BentoML targets AI developers and machine learning engineers who need a flexible and scalable platform to deploy AI models into production environments. </target_audience> ```
What does BentoML do?
BentoML provides a Unified Inference Platform that enables developers to build and deploy scalable AI systems using any model on their preferred cloud infrastructure. The platform addresses the challenges of slow iteration and high costs in AI deployment by offering features like auto-scaling, low-latency serving, and seamless integration with existing cloud resources.
Where is BentoML located?
BentoML is based in San Francisco, United States.
When was BentoML founded?
BentoML was founded in 2019.
How much funding has BentoML raised?
BentoML has raised 10000000.
- Location
- San Francisco, United States
- Founded
- 2019
- Funding
- 10000000
- Employees
- 18 employees
- Major Investors
- DCM Ventures