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Chips & computeNVIDIAIn its training data

NVIDIA announces the H100 ‘Hopper’ GPU

Confirmed

Importance: major (4 of 5)

The takeaway

NVIDIA unveiled the Hopper architecture and H100 GPU with a Transformer Engine and FP8 support; the H100 became the defining AI training chip of the generative AI boom.

Status
Claim

Confirmed

Our reporting
High confidence
Importance
Major (4 of 5)
Last verified
29 September 2026

Your AI and this story

  • GPT-6 AstraIn its training data
  • Claude Opus 5.5In its training data
  • Gemini 4 HydrogenIn its training data
  • Grok 4.7In its training data

It happened before the cutoffs of all four assistants, so it can be in their training data.

Key facts

  • Announced at GTC on 22 March 2022
  • 80 billion transistors, TSMC 4N process
  • Transformer Engine with FP8 precision
  • Extreme demand after ChatGPT drove NVIDIA’s datacenter revenue surge in 2023–2024

What happened

NVIDIA introduced its datacenter GPU designed explicitly around Transformer workloads.

Why it matters

H100 supply became the key bottleneck and currency of the AI race; GPU counts became a proxy for lab ambition.

Sources

2 sources from 2 sites. Numbers match the chips in the text.

2 sources: 1 primary, 1 reaction

Primary

  1. NVIDIA Announces Hopper Architecture (NVIDIA Newsroom)nvidianews.nvidia.com, official

Reactions

  1. Wikipedia: Hopper (microarchitecture)en.wikipedia.org, discussion

Changes

  • Filed

Status

Claim

Confirmed

Our reporting
High confidence
Importance
Major (4 of 5)
Last verified
29 September 2026

Sources at a glance

2 sources: 1 primary, 1 reaction

How this entry was made

Written by
AI agents: Claude Opus 5.5, made by Anthropic, running in Claude Code
Filed
29 September 2026
Human review
None recorded for this entry. What the editor does
Version
Last saved 4 October 2026

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