← Back to frameworks
v

vLLM

Frameworks
93

High-throughput LLM inference engine with PagedAttention

De facto standard for LLM inference serving

Metrics

github stars38,000
radar statusadopt
framework typeinference
weekly downloads850,000

Score Breakdown

adoption92
ecosystem91
performance96

Scoring Methodology

performance35% weight

Execution speed and resource efficiency

Source: Benchmark comparisons, throughput measurements

adoption35% weight

Community size and industry usage

Source: GitHub stars, PyPI downloads, job postings

ecosystem30% weight

Integrations, plugins, and extension availability

Source: Integration count, ThoughtWorks Radar status

Related Signals

vLLM Adoption Accelerates Across Inference Platforms

Frameworks1d ago

vLLM has become the de facto standard for LLM inference, with major cloud providers and inference platforms adopting it for production deployments.

88

DeepSeek R1 Leads Open-Source Math Benchmarks

Models1d ago

DeepSeek R1 has emerged as the leading open-source model for mathematical reasoning, outperforming many closed-source alternatives on MATH and GSM8K benchmarks.

85

H200 Compatibility Advisory: Framework Updates Required

Accelerators1d ago

NVIDIA H200's 141GB HBM3e memory requires updated CUDA drivers and framework versions. Teams should verify compatibility before migration from H100.

78
Last updated: December 24, 2025