---
id: "entity-nvidia-gb300"
type: "entity"
entityType: "product"
canonicalName: "Nvidia GB300 Series"
aliases: ["GB300", "Blackwell Ultra"]
source_timestamps: ["00:00:13"]
tags: ["hardware", "compute", "nvidia"]
related: ["claim-next-gen-expensive", "entity-jensen-huang"]
sources: ["s45-claude-limit-chatgpt-habit"]
sourceVaultSlug: "s45-claude-limit-chatgpt-habit"
originDay: 45
---
# Nvidia GB300 Series

## Description
Nvidia GB300 (Blackwell Ultra) is the next generation of AI training and inference chips from Nvidia. The speaker cites the high cost of these chips as the underlying reason why upcoming frontier models — like [[entity-claude-mythos-d45]] — will see significant price increases.

## Validation Status (from enrichment overlay)
**Real product.** Nvidia's GB300 (Blackwell Ultra) GPU:
- Reportedly delivers ~30x inference performance vs. H100 generation
- Costs ~$70K per unit
- Powers the next wave of frontier model training and inference
- Official: https://www.nvidia.com/en-us/data-center/gb300/

## Role in the Argument
The hardware-cost anchor for [[claim-next-gen-expensive]]. If the chips themselves are 5–10x more expensive, model API pricing must follow upward — and therefore [[concept-token-burning]] becomes 5–10x more financially painful.

## Linked Person
[[entity-jensen-huang-d45]] (Nvidia CEO)