LMDeploy

Open Source

LLM Inference Updated Feb 15, 2026

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Compared with 16 other LLM Inference agents Open source Self-hostable Updated Feb 2026

💰 Open Source 🔄 Updated Feb 2026 🖥️ Self-hostable

💰 Pricing

Open Source

Pricing not publicly listed.

🎯 Use Cases

Real-time text generation for chatbots Scalable deployment of vision-language models Batch processing of inference requests Optimizing model serving for cloud or on-premises infrastructure

⚖️ Pros & Cons

✅ Pros

High-throughput and low-latency inference
Supports tensor parallelism for efficient scaling
Open-source and self-hostable

❌ Cons

Requires technical expertise for setup and optimization
Limited to models compatible with its inference framework
May need additional tooling for monitoring and management

Overview

LMDeploy is a high-performance inference and serving framework designed for large language models (LLMs) and vision-language models (VLMs). It optimizes throughput and latency, making it suitable for deploying generative AI models at scale. The framework supports efficient model execution with features like tensor parallelism and dynamic batching.

Problem It Solves

It reduces the computational overhead and latency of running large generative models, enabling faster and more efficient deployment in production environments.

Target Audience: Developers and teams working with llm inference automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are LMDeploy, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

LLM APIs Python

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FAQs

Is this agent open-source?: Yes
Can this agent be self-hosted?: Yes
What skill level is required?: Intermediate

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