OpenLLM

OpenLLM is an inference platform that lets teams deploy, optimize, and scale open-source and custom AI models.

BentoML is an AI inference platform built for speed, control, and efficiency. It helps data science and engineering teams deploy any open-source or custom model with tailored optimization and smart scaling. The platform supports distributed LLM inference, batch processing, and complex workflows like RAG systems. It provides a unified framework for packaging models, managing infrastructure, and monitoring performance metrics. Teams can run workloads on their own cloud infrastructure or via Bento Cloud.

OpenLLM at a glance

Best for: Software engineer
Runs on: API, self-hosted, open source
Pricing: Free
Released: April 2023
Category: AI coding tool
Website: bentoml.com

Key features

Deploy any open-source or custom model
Tailored inference optimization and performance tuning
Smart auto-scaling based on inference-specific metrics
Distributed LLM inference across multiple GPUs
LLM Gateway with a unified API
Full observability and monitoring
Version control with rollbacks and A/B testing

Use it for

Build chatbots and interactive AI applications
Handle asynchronous long-running AI tasks
Run large-scale batch inference on datasets
Orchestrate complex RAG and compound AI systems

Alternatives to OpenLLM

llm-d — Deploys production-grade LLM serving on existing hardware clusters.
WebLLM — Runs high-performance language models directly inside web browsers.
OptiLLM — Increases LLM reasoning accuracy by up to 10x without model training.
Mesh LLM — Run large local models across multiple machines through one OpenAI-compatible endpoint.
MLC LLM — Enables native optimization and deployment of AI models across platforms.
vLLM — Maximizes throughput with PagedAttention and continuous batching.
LightLLM — It delivers high-speed inference and serving performance for large language models.
ZML — It enables Python-free inference while abstracting hardware complexities.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.
llmware — Build private, local RAG pipelines with 300+ prepackaged models and integrated document parsing.
LiteLLM — One OpenAI-format API for 100+ LLM providers
AirLLM — Runs massive 70B+ parameter models on small 4GB consumer GPUs.

All OpenLLM alternatives