| Name | VLLM |
| Overview | VLLM (Very Large Language Model) is a high-performance, memory-efficient inference serving engine specifically designed for Large Language Models (LLMs). It significantly optimizes the deployment process by improving memory management, thereby delivering quicker response times without sacrificing performance. VLLM is flexible and supports various deployment environments, catering to a wide range of users, from startups to large organizations. It is capable of multi-node configurations, which enhances scalability and efficiently manages loads during times of increased demand. |
| Key features & benefits |
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| Use cases and applications |
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| Who uses? | AI developers and organizations looking to implement large language model solutions. |
| Pricing | VLLM offers a free version along with various pricing options based on deployment needs. |
| Tags | Large Language Models, Inference Engine, AI Deployment, Scalability, Memory Efficiency |
| App available? | No |
Vllm
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Overview
Discover VLLM, a powerful and efficient inference serving engine for Large Language Models. Optimize your AI deployments with reduced latency and enhanced performance. Perfect for developers and enterprises alike.
Category: LLM
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