Open frameworkJev QuadrantLive map

LLM inference platforms / entity

Groq

LPU-based inference cloud (GroqCloud) and silicon now in the NVIDIA stack.

https://groq.com

Proven Execution

0.475

Validated Direction

0.432

Uncertainty X

0.351

Uncertainty Y

0.379

Evidence mass

0.997

Region

DIRECTED

Quadrant distribution

Jev `choice` — not a hard 0.5 cut. Confidence 0.20.

  • Operational31.0%
  • Forming5.0%
  • Directed39.0%
  • Anchored25.0%

Evidence ledger

Recency half-life 180 days. Weight = 2^(-age/180).

  1. docs · published 2025-03-07 · w=0.113

    What is a Language Processing Unit?

    Groq describes GroqCloud as powered by the LPU, a processor designed for LLM inference, claiming substantially faster speeds and up to 10× better energy efficiency versus GPUs at an architectural level.

  2. announcement · published 2026-08-24 · w=0.884

    NVIDIA Groq 3 LPX in full production

    NVIDIA announced NVIDIA Groq 3 LPX in full production as an interactive inference accelerator for the Vera Rubin platform, with Nebius as first adopter for Token Factory. The release states Groq plans to be among the platform’s earliest adopters.

Reproducibility

resolved model: jev-1.13.0
requested model: jev-latest
request id: req_01a0d5e5c8cb7ebfaa805ba38ca337cf
timestamp: 2026-09-25T00:10:00.965Z
request hash: 567f85799fea19e93db30f76117093fb9ddca03592c9c655d0ab233ab8017d4b
Download request JSON
{
  "model": "jev-latest",
  "state": {
    "goal": "Score this entity on the Jev Quadrant rubric using only the supplied evidence.",
    "framework": "jev-quadrant-v1",
    "topic": {
      "id": "llm-inference",
      "title": "LLM inference platforms",
      "x_axis": "Proven Execution",
      "y_axis": "Validated Direction"
    },
    "entity": {
      "id": "groq",
      "name": "Groq",
      "website": "https://groq.com",
      "description": "LPU-based inference cloud (GroqCloud) and silicon now in the NVIDIA stack."
    },
    "evidence": [
      {
        "id": "groq-lpu",
        "kind": "docs",
        "url": "https://groq.com/blog/the-groq-lpu-explained",
        "date": "2025-03-07",
        "date_kind": "published",
        "recency_weight": 0.1127,
        "summary": "Groq describes GroqCloud as powered by the LPU, a processor designed for LLM inference, claiming substantially faster speeds and up to 10× better energy efficiency versus GPUs at an architectural level.",
        "title": "What is a Language Processing Unit?"
      },
      {
        "id": "nvidia-lpx",
        "kind": "announcement",
        "url": "https://investor.nvidia.com/news/press-release-details/2026/NVIDIA-Groq-3-LPX-Now-in-Full-Production-With-World-Class-Speed-for-Agentic-AI/default.aspx",
        "date": "2026-08-24",
        "date_kind": "published",
        "recency_weight": 0.8841,
        "summary": "NVIDIA announced NVIDIA Groq 3 LPX in full production as an interactive inference accelerator for the Vera Rubin platform, with Nebius as first adopter for Token Factory. The release states Groq plans to be among the platform’s earliest adopters.",
        "title": "NVIDIA Groq 3 LPX in full production"
      }
    ],
    "claims": [],
    "independent_checks": [],
    "recency": {
      "half_life_days": 180,
      "as_of": "2026-09-25",
      "mass": 0.9967
    }
  },
  "questions": {
    "exec_shipped": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Has this entity shipped a generally available product used by third parties?",
      "criteria": {
        "true": "Independent public evidence shows a generally available product used by third parties.",
        "false": "The product is announced, preview-only, or evidenced only by unsourced vendor marketing with no third-party use."
      }
    },
    "exec_adoption": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there credible adoption evidence?",
      "criteria": {
        "true": "Credible adoption evidence exists: named customers, published user or download counts, case studies, or equivalent.",
        "false": "Adoption claims are absent, purely anecdotal, or unsourced."
      }
    },
    "exec_reliability": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of reliability, quality, security/compliance, or operational maturity?",
      "criteria": {
        "true": "Evidence of reliability, quality, security/compliance, or operational maturity (uptime, incidents handled, certifications, long-running open-source project).",
        "false": "No reliability or quality evidence is present."
      }
    },
    "exec_cadence": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of continued delivery after launch?",
      "criteria": {
        "true": "Evidence of continued delivery after launch (dated releases, changelog, subsequent features).",
        "false": "Delivery appears one-shot or stalled."
      }
    },
    "dir_strategy": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there a specific, consistent, dated public strategy or roadmap?",
      "criteria": {
        "true": "A public strategy or roadmap is specific, consistent, and dated.",
        "false": "Direction is vague, contradictory, or only implied."
      }
    },
    "dir_backed": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Are strategy or roadmap claims backed by shipped artifacts in the evidence pack?",
      "criteria": {
        "true": "Roadmap or strategy claims are backed by shipped artifacts in the evidence pack.",
        "false": "Direction is promised without corresponding delivery evidence."
      }
    },
    "dir_distinct": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is the evidenced direction distinct from generic category copy?",
      "criteria": {
        "true": "The evidenced direction is distinct from generic category copy.",
        "false": "Positioning is interchangeable with peers."
      }
    },
    "dir_invested": {
      "type": "noul",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Is there evidence of sustained investment in this product?",
      "criteria": {
        "true": "Evidence of sustained investment (funding used for the product, research, open-source velocity, or platform expansion).",
        "false": "No evidence of continued investment."
      }
    },
    "quadrant": {
      "type": "choice",
      "instructions": "Use only the supplied state. Do not use prior knowledge that is not represented as evidence items. If evidence is thin, return a probability near 0.5 with the understanding that uncertainty is handled separately. Assign the entity to one Jev Quadrant cell. Do not use a hard 0.5 cut. Weigh the full evidence pack.",
      "criteria": {
        "ANCHORED": "Both delivery (proven execution) and evidenced direction (validated direction) are strong.",
        "DIRECTED": "Validated direction is better evidenced than proven execution.",
        "OPERATIONAL": "Proven execution is better evidenced than validated direction.",
        "FORMING": "Both axes are thin, early, or contradicted."
      }
    }
  }
}

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