The reputation index for AI infrastructure Vol. I · No. 1 · 10 July 2026

DatumIndex

Sine ira et studio — the record, without favour

Provider Dossier · Specialist Hardware

Groq

Category-leading tokens/sec thanks to custom LPU silicon.

The Datum Index verdict

Highly commended

Ranked No. 4 of 20 in our composite reputation index, and currently improving.

87 / 100

≈ 4.4 / 5 aggregate · 470 reviewer notes

Composite index · reviewed 10 July 2026

Findings

  1. Groq holds a Datum Index composite reputation of 87 / 100 (≈ 4.4 / 5), ranked No. 4 of 20.
  2. It is a specialist hardware based in Mountain View, USA, founded 2016, offering open-weight model access.
  3. Its flagship offering is LPU-served open models, exposed through an OpenAI-compatible API.
  4. Indicative pricing is $0.59 / 1M tokens in / $0.79 / 1M tokens out (medium confidence).
  5. Reference throughput is ~480 tok/s with ~120 ms time-to-first-token; stated uptime is 99.6%.
Figure · Dossier No. 4 Standing relative to the field
  • Groq 87
  • Field mean (20 providers) 83
  • Index leader (OpenAI) 91
Composite index (0–100), ranked No. 4 of 20. Source: Datum Index, reviewed 10 July 2026. Editorial composite — indicative, not a measured benchmark.

Groq enters our index at No. 4, a placement that reads as highly commended. The composite rests on 470 reviewer notes gathered across the public record, and it is best understood not as a score out of ten but as a standing among peers. The trend line is pointed upward: reviewer sentiment has strengthened over recent quarters.

Read what follows as an editorial assessment rather than a datasheet. Where a figure below carries a seed mark, treat it as an illustration of the shape of the offering, not a quotable fact.

In its favour

Category-leading tokens/sec thanks to custom LPU silicon.

On the numbers that flatter it: open-weight access, 2 named compliance attestations, and a reference throughput of ~480 tokens per second.

Points of concern

Curated, smaller model selection; capacity-gated at peaks.

The caveat a buyer should price in before committing production traffic. As with every entry, we weigh it against the field rather than against perfection.

Incident & Uptime Note

The record of being there

Groq states an availability of 99.6%. Held over a full year, that headline implies on the order of 35.0 hours of cumulative unavailability — a useful sense of scale, though real incidents cluster rather than spread evenly, and a single bad afternoon can outweigh a quiet quarter.

Datum Index does not operate first-party probes. Uptime here is drawn from the provider's own status disclosures and the public incident record; it is a reputation input, not an SLA. Where a provider publishes a status page, we recommend watching it directly before committing critical traffic.

Key Facts

The record, in brief

CategorySpecialist Hardware
HeadquartersMountain View, USA
Founded2016
Model accessOpen-weight
Flagship / referenceLPU-served open models · Llama 3.3 70B
OpenAI-compatible APIYes
Indicative price (in / out) $0.59 / 1M tokens / $0.79 / 1M tokens medium
Reference throughput~480 tok/s
Reference TTFT~120 ms
Stated uptime99.6%
ComplianceSOC 2 Type II · GDPR
Composite reputation 87 / 100 · ≈ 4.4 / 5 · 470 notes

Reviewer Notes

What the field says

The 470 notes behind Groq's standing are drawn from the accumulated public verdict of practitioners — the recurring praises and the recurring gripes — rather than from any single survey. Two themes dominate. Admirers return to one point above all: Category-leading tokens/sec thanks to custom LPU silicon. Detractors return to another: Curated, smaller model selection; capacity-gated at peaks.

We publish neither individual reviews nor reviewer identities; the composite is an editorial synthesis, and the reviewer-note count is an order-of-magnitude indication of how much public signal informs it.

Cross-references

Related dossiers · see also

Peer entries in the same or adjacent category, for comparison against Groq's standing.

Back to the Reputation Index Read §01 — The Landscape