The training of GPT-5 requires 50,000 H100s, and the global total demand for H100s has reached 430,000. The shortage of NVIDIA's GPU supply chain is the main cause of the shortage problem. The article details why the H100 has become the top choice for developing large models and the issues with NVIDIA's GPU supply chain. It's worth reading for readers interested in the GPU shortage problem.
GPT-5 Launch Requires 50,000 H100s: Nvidia GPUs Face Shortage
10.9K views
Related
Exploring OpenAI's Base Large Model: The New Pre-training Project Codenamed Doug Comes to Light
15.2K
On the First Anniversary of GPT-5, OpenAI Launches Agent Plugins Standard: Ending Fragmentation of Intelligent Agent Plugins and Defining Cross-Client Interoperability Specifications
26.4K
OpenAI Releases User Prompt Guide: Building a Unified Framework for Regular Interfaces and Codex
13.4K
GPT-5 Triggers a Chain Reaction: OpenAI Spider Activity Surges Threefold
11.7K
SpaceX to Acquire AI Programming Platform Cursor for $6 Billion or Pay a $1 Billion High Partnership Fee
14.6K
OpenAI Officially Announces a $100 Pro Subscription Plan Targeting High-Intensity Productivity
17.5K