Answer-first summary52/100 GEO

Groq

Ultra-fast AI inference hardware.

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Your Citability Score

52/100
Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Groq?
Ultra-fast AI inference hardware.
What does Groq do?
AI inference company with custom LPU hardware delivering the fastest token generation speeds for large language models.
Who is Groq for?
AI/ML teams, developers, and enterprises building latency-sensitive generative AI applications.
Is Groq verified?
Groq is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Groq logo

Groq

Invited

Ultra-fast AI inference hardware.

AI InfrastructureCH-VER-968464Listed September 11, 2026
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AI-Extractable Summary
What:Ultra-fast AI inference hardware.
For whom:AI/ML teams, developers, and enterprises building latency-sensitive generative AI applications
Key outcome:Deploy and run AI models with ultra-low latency and high throughput, reducing response times and increasing requests served per second
Category:AI Infrastructure

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
53
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Deploy and run AI models with ultra-low latency and high throughput, reducing response times and increasing requests served per second.

About

AI inference company with custom LPU hardware delivering the fastest token generation speeds for large language models.

Target Audience: AI/ML teams, developers, and enterprises building latency-sensitive generative AI applications.
Not ideal for: Teams that only need offline, non-real-time, or on-device AI without cloud or API infrastructure.

What makes it different

  • Purpose-built inference hardware optimized for token generation and model serving
  • Ultra-fast, low-latency performance designed for real-time AI experiences
  • Consistent throughput that helps maintain predictable application performance under load
  • API-based access to popular models with a developer-friendly deployment path

Tags & Classification

llm inferencechatbot hostingreal-time ai agentshigh-volume api servinglow-latency ai applications
machine learning engineersai product teamsbackend developersenterprise it teams
software and saasfinancial serviceshealthcareretail and ecommerce
Platform: PlatformModel: Enterprise

Links & Transparency

Cite this Project

BibTeX
@misc{citablehub_groq,
  title = {Groq},
  url = {https://citablehub.com/p/groq},
  note = {Listed September 11, 2026. CitableHub ID: CH-VER-968464},
  year = {2026}
}
APA
Groq. (2026). CitableHub Software Index. https://citablehub.com/p/groq.
MLA
"Groq." CitableHub, 2026, https://citablehub.com/p/groq.