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vLLM

Self-Hostable

Category: coding • Released 2023

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High-throughput and memory-efficient LLM serving engine with PagedAttention

vLLM delivers state-of-the-art serving throughput using PagedAttention memory management. Deployed by AI labs worldwide to host Llama 3, DeepSeek, and Mistral with multi-GPU tensor parallelism and streaming outputs.

Pricing Structure & Model AccessThe local software is available under its stated license. Hardware, electricity, hosting, model APIs, and support may incur separate costs.
freeOfficial Pricing
Free Access QuotaThe software is available for local or self-hosted use under its stated license; model inference and infrastructure are separate.
Free Tier LimitsCapacity depends on local hardware, model size, configuration, and any external model or hosting provider.
Requirements & Verification
No Account Required (Instant)Verified: 2026-10-17
Source repository

Core Capabilities & Features

PagedAttention memory management
Continuous batching
Tensor parallelism
OpenAI-compatible server
Quantization (FP8, AWQ, GPTQ)
Who It's Best Suited For

Professionals, developers, and creators requiring high-reliability coding workflows.

Execution Environment

Self-hostable via Docker or local GPU (macOS, Linux, Windows).

Tags & Keywords

#infrastructure#serving#gpu#open-source#high-performance
Side-by-Side Comparison

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