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vLLM

vLLM

Virtual Large Language Model is an optimized, open-source framework for serving large language models, offering low latency, dynamic batching, and seamless integration with transformer-based models for efficient and scalable inference.

Deploy with
aws
AWS
google-gcp
Google GCP
azure
Azure
oracle
Oracle
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vLLM Support with one SLA

  • 30 Minute Response Time Our support team will reach out to you within 30 minutes of you contacting our team.
  • Support Any Time You Need It (24/7) Regardless of your time zone or location, our team of dedicated support professionals can always assist you.
  • Quick Resolution Guaranteed On average our team of experts will be able to solve any problem you have ithin 48 hours.
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Features

  • Dynamic Batching Groups multiple requests for efficient GPU/CPU processing without extra delays.
  • Optimized for Inference Reduces memory usage and speeds up response times for running large language models.
  • Model Compatibility Seamlessly integrates with Hugging Face, OpenAI GPT, and other transformer-based models.
  • High Scalability Efficiently handles high request volumes, perfect for enterprise-level deployments.
  • Advanced Logging and Monitoring Track model performance and optimize operations with built-in tools.
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Features

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