[KongchangAI]
Verified70% confidenceFactExact time

A GPT-4-class model with 175 billion parameters requires approximately 175 GB of VRAM even when stored at fp8 precision.

4
Sources
70%
Confidence
Long-term
Relevance
7/10/2026
First Seen

Sources

Doubao and Qwen Retire AI Agents: How Compute Costs Are Reshaping AI's Commercial Boundaries
bilibili程序员艾雷克斯7/8/2026

Related Claims

VerifiedThe model weights of Flux 2's 9B parameter model occupy approximately 18GB of VRAM at FP16 precision, typically requiring more than 24GB of GPU VRAM.81% similar

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