---
id: "entity-product-nvidia-gb300"
type: "entity"
entityType: "product"
canonicalName: "Nvidia GB300"
aliases: ["GB300", "Blackwell Ultra"]
source_timestamps: ["00:00:12"]
tags: ["hardware", "compute"]
related: ["concept-step-change-ai"]
canonical_url: "https://www.nvidia.com/en-us/data-center/gb200-nvl72/"
sources: ["s44-claude-mythos"]
sourceVaultSlug: "s44-claude-mythos"
originDay: 44
---
# Nvidia GB300

## Profile

Nvidia's next-generation AI accelerator chip in the Blackwell architecture family, providing the massive computational power required to train [[concept-step-change-ai|step-change]] models like [[concept-claude-mythos|Claude Mythos]].

## Real-world facts (from enrichment)

- Part of the Blackwell Ultra AI platform (alongside GB200)
- Nvidia claims ~30x faster inference than H100
- Roughly 4–8x H100 flop-equivalent per Nvidia GTC 2025 keynotes
- Shipping to hyperscalers from Q1 2025
- Inference cost reportedly $2–5/M tokens for hyperscalers (SemiAnalysis)

## Role in the source

The hardware causal driver of the entire thesis. The argument: GB300 enables a [[concept-step-change-ai|step change]] in model capability, which triggers the [[concept-bitter-lesson-llms|Bitter Lesson]] dynamic, which forces the [[framework-mythos-readiness|Mythos Readiness Transformation]].

This hardware premise is the most externally-verifiable element of the source's argument — even when [[entity-product-claude-mythos|Mythos itself]] is unverified.