AI Compute Hours Today
Real-time global AI and ML compute statistics
AI Compute Hours Today
96,800,100GPU hours worldwide
Understanding AI Compute
AI compute measures the processing power used for artificial intelligence and machine learning. Approximately 100 million GPU hours are used daily. Our AI counter tracksGPU hours per second, daily compute usage, and AI market growth.
Also known as machine learning compute, GPU computing, and AI processing, this metric is closely related to NVIDIA, data centers, and cloud computing.
Our AI compute data covers multiple dimensions including by provider, by model size, training costs, and energy consumption.
AI Compute Statistics & Data
Track AI compute hours today, GPU hours per second, and daily ML usage.
View NVIDIA market share, OpenAI usage, and ChatGPT statistics.
Explore GPT-4 training cost, AI market size, and compute growth rate.
Learn about AI electricity usage, data center count, and AGI requirements.
What You'll Find on This Page
- •Live Counter: AI compute hours today, GPU usage
- •Leaders: NVIDIA, OpenAI, Microsoft Azure, Google
- •Growth: doubles every 3.4 months, $500B market
- •Impact: 3-4% of electricity, 10,000+ data centers
This page provides comprehensive data including AI compute statistics, GPU hours data, machine learning counter, AI usage tracker, AI 2025, compute trends, technology data, and artificial intelligence statistics.
GPU Hours/Second
globally
AI Market Value
$500B+ annually
Data Centers
hyperscale+
AI Industry Leaders
- •NVIDIA: 80% of AI chip market
- •OpenAI: ChatGPT serves 100M+ users
- •Microsoft Azure: Largest cloud AI platform
- •Google TPUs: Powers Gemini AI
AI Growth Facts
- •AI compute doubles every 3.4 months
- •Training GPT-4 required ~$100M in compute
- •AI uses 3-4% of global electricity
- •AGI predicted to require 10x more compute
Frequently Asked Questions
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Data Sources: OpenAI, NVIDIA, Epoch AI, IEA, Stanford AI Index