Technology
Github Vllm
Last fetched
Github Vllm is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under deployment, with a published adopter count of 2 hostnames.
Profile
- Category
- deployment
- Broader grouping
- software development, devops
- Published adopter count
- 2
- Vendor
- vllm.ai
Github vLLM is an inference and serving engine focused on optimizing deployment of large language models. It delivers high throughput and efficient memory management, enabling scalable and performant operation of models in both research and production settings. Seamless integration with popular machine learning models simplifies deployment and management workflows.
Vendor site: https://vllm.ai/
Sample adopters
2 hostnames WhisperGraph observed running Github Vllm, a sample of the 2 published adopters.
Related pages
Pivot from Github Vllm into its category and the vendor behind it.
Queries
Resolves the slug's technology-name candidate(s) and projects the winner's fields.
MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
winner.description AS description,
winner.category AS category,
winner.parentCategories AS parentCategories,
winner.adopterCount AS adopterCount,
winner.url AS url,
winner.vendorApex AS vendorApex,
candidatesRun yourself →Or query Whisper from your own LLM workflow via the Whisper MCP server.