DirJournal Editorial Verdict
Groq is listed on DirJournal under AI Chip Makers in Mountain View, California, United States.
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Editorial Verification
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200 OK StatusVerified
Primary website is live, secure (HTTPS), and free of malware.
Domain AgeVerified
Real-world domain age (≥1 yr, verified via the Wayback Machine) OR pre-migration legacy ID OR ≥2 years of platform tenure. Survival across multiple search-engine update cycles is itself a trust signal.
Schema ValidationVerified
Valid Organization / ProfessionalService JSON-LD emitted on every page load — checked at render time.
Citation ClarityVerified
Verified outbound links to at least two authoritative sources (social profiles, sameAs URLs).
Operational HistoryVerified
Minimum 12-month active history in the claimed industry — derived from the business's founding year, Wayback-verified domain age, or listing tenure (any one signal passes).
Entity RegistrationPending Manual Review
Cross-referenced with official state or country business registries.
Physical FootprintData Incomplete
Verified non-virtual presence via Google Maps or official lease documentation.
Complete in DashboardActive LeadershipData Incomplete
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Complete in DashboardNAP ConsistencyData Incomplete
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Complete in DashboardProfessional LicensingPending Manual Review
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Sentiment AuditPending Manual Review
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Editorial DiscretionPending Manual Review
Final human review to ensure the business provides genuine value.
This entity has not yet undergone the 12-Point Manual Editorial Audit. The 5 Verified points above are objective system checks this listing already passes; the remaining 7 are manual editorial reviews that still need a human auditor's sign-off.
About
Groq
Groq is an American AI inference hardware company founded in 2016 by Jonathan Ross, a former Google engineer who led the development of Google's Tensor Processing Unit (TPU). The company is headquartered in Mountain View, California with additional facilities in San Jose and Liberty Lake, Washington. Groq designed the Language Processing Unit (LPU), a custom AI accelerator chip that delivers up to 18x faster inference than traditional GPUs for language models. In December 2025, Groq entered a non-exclusive technology licensing agreement with Nvidia reportedly valued at $20 billion, after which founder Ross and president Sunny Madra joined Nvidia. Groq continues to operate independently under CEO Simon Edwards. The company has raised $2.4 billion in total funding across 7 rounds and operates the GroqCloud platform serving over 356,000 developers. Revenue reached $500 million in 2025.
DirJournal's Perspective
Editorial analysis
Groq's LPU architecture directly challenges Nvidia's GPU dominance by delivering significantly faster inference speeds on standard open-source models, positioning the company as the primary alternative for cost-conscious enterprises prioritizing latency over training flexibility.
Reviewed by DirJournal Editorial Board
Frequently Asked
About Groq
What does Groq do?
Groq is an American AI inference hardware company founded in 2016 by Jonathan Ross, a former Google engineer who led the development of Google's Tensor Processing Unit (TPU). The company is headquartered in Mountain View, California with additional facilities in San Jose and Liberty Lake, Washington.
Where is Groq based?
Groq is based in Mountain View, California, United States.
When was Groq founded?
Groq was founded in 2016 and has been operating for 10 years.
Technical Grounding
JSON-LDOrganization
- Location
- Mountain View, California, United States
- Founded
- 2016
- Team Size
- 1-10 employees
Services & Deep Links
| Feature | Destination |
|---|---|
| AI Inference Chips | |
| Language Processing Unit LPU | |
| Custom AI Silicon |
Social Media
Digital Footprint · Technical Entity Graph
- Website
- Schema TypeOrganization
- JSON-LDActive
- NAP Vault IDNot assigned
- Social Profiles4 verified profiles
- Platform TenureNew listing
View Technical Schema▸
- @type
- Organization
- areaServed
- Global
- openingHours
- Mo-Fr 08:00-17:00
Knows About
AI InferenceLPULanguage Processing UnitAI AcceleratorAI ChipGroqCloudInference Hardware
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