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Technology

PaddlePaddle

Last fetched

PaddlePaddle is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under advanced analytics and data science, with a published adopter count of 71 hostnames.

Profile

Broader grouping
intelligence and analytics, software development
Published adopter count
71

PaddlePaddle is an open-source deep learning platform designed to accelerate artificial intelligence development. It offers a simple API for creating, training, and deploying neural network models, enabling businesses to leverage AI technologies effectively. The platform supports various deep learning tasks, facilitating innovation across industries that require machine learning solutions.

Vendor site: https://www.paddlepaddle.org/

Sample adopters

20 hostnames WhisperGraph observed running PaddlePaddle, a sample of the 71 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 PaddlePaddle adopters, not of all 71 published adopters. A hostname counts once per network.

Related pages

Pivot from PaddlePaddle 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,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.