© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Fast inference for LLMs. Hardware-accelerated AI inference platform.
Founded by: Jonathan Ross
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Groq ranks #3 in AI Infrastructure for HN discussion share (out of 70 tracked with 15.4% of HN discussion), with 56% positive developer sentiment (108 HN comments analyzed), with 2,301,983 npm downloads in 30 days, with 9,808,785 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/groq?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Fast inference for LLMs. Hardware-accelerated AI inference platform.
Estimated Company Size
51 - 100 employees
Website
groq.com2024
2021
Founded
2016
Description
Groq builds AI inference chips. Ultra-fast LLM inference. Powers real-time AI applications. Raised $300M Series C.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Package download volume indicates real-world adoption and integration into production projects.
An ultra-low latency inference engine optimized for large language models, enabling real-time AI applications.
A custom-built processor designed for AI inference, delivering unparalleled speed and efficiency for demanding AI workloads.
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Package downloads and ecosystem metrics — 30-day window
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