SourceScore

Verified claim · AI-ML · 95% confidence

xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models.

Last verified 2026-05-16 · Methodology veritas-v0.1 · 22acd1a710e1dcad

Structured fields

Subject
xAI Colossus
Predicate
publicly_released_on
Object
2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models
Confidence
95%
Tags
colossus · xai · supercomputer · h100 · ai-infrastructure · released_on · 2024

Sources (2)

  1. [1] official blog · xAI · 2024-09-02

    Colossus — xAI's 100,000-GPU supercomputer
    Colossus is the world's largest AI supercomputer with 100,000 NVIDIA H100 GPUs in Memphis, Tennessee, brought online in 122 days.
  2. [2] official blog · NVIDIA · 2024-10-28

    NVIDIA Spectrum-X Networks xAI Colossus

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xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models. — SourceScore Claim 22acd1a710e1dcad (verified 2026-05-16). https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json

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Frequently asked questions

Is the claim "xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models." verified?

Yes — SourceScore verified this claim with 95% confidence as of 2026-05-16. The verification uses 2 primary sources cross-referenced against the SourceScore methodology (version veritas-v0.1). Full source list + signed JSON envelope linked below.

What is the evidence for "xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models."?

Evidence comes from 2 primary sources: xAI, NVIDIA. Each source is listed below with verbatim excerpts and URLs. The signed JSON envelope at https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json includes an HMAC-SHA256 signature for audit verification.

When was this claim last verified by SourceScore?

Last verified 2026-05-16 under methodology version veritas-v0.1. The signed JSON envelope is dated and cryptographically signed for audit trail. Re-verification cadence depends on the claim type and source freshness.

How can I cite this SourceScore claim in my code or article?

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cURL

curl https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json

JavaScript / TypeScript

const r = await fetch("https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json"); const envelope = await r.json(); console.log(envelope.claim.statement); // "xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models."

Python

import httpx r = httpx.get("https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json") envelope = r.json() print(envelope["claim"]["statement"]) # "xAI Colossus publicly released on: 2024-09-02 by xAI — 100,000-GPU H100 supercomputer (Memphis, TN) for training Grok models."

LangChain (retrieve-then-cite)

from langchain_core.tools import tool import httpx @tool def get_xai_colossus_fact() -> dict: """Fetch the verified SourceScore claim for xAI Colossus.""" r = httpx.get("https://sourcescore.org/api/v1/claims/22acd1a710e1dcad.json") return r.json()