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ReportedCompute$7,047 a day in coding-agent usage by OpenAI's top researchersAt OpenAI, the 90th-percentile researcher's daily coding-agent API usage rose from $1.95 to $7,047 between early January and mid-August 2026, a compute-spending trend Epoch AI found doubling roughly every 27 daysEpoch AI (OpenAI self-reported data)Jan-Aug 2026- PrimaryCompute203,000 H100-equivalentsEpoch AI's tracker of AI data centres added a new facility to its database on October 2, 2026 -- Google's Kansas City East site, logged with an estimated 105 megawatts of IT power and a $4.0 billion capital cost, alongside a compute capacity ofEpoch AIOct 2026
- PrimaryComputeapproximately 5 gigawattsIREN, the Bitcoin miner turned AI-cloud operator, disclosed in its fiscal 2026 10-K that it has executed grid-power agreements across the US, Canada, Spain and Australia for its AI Cloud Services data-centre buildout totallingIREN Ltd 10-KFY2026 (ended 30 Jun 2026)
- EstimateCompute5 million H100-equivalent GPUs combined, once Meta's Hyperion and Microsoft's Fairwater data centres are completeEpoch AI's Frontier Data Centers Hub tracks AI data-centre construction using satellite imagery and public filings. It estimates xAI's Colossus 2, the most powerful AI data centre operating in 2026 at 1.4 million H100-equivalents, will be dwarfed once Meta's Hyperion and Microsoft's Fairwater are complete, when the two will together reachEpoch AINov 2025
- PrimaryComputeapproximately 3.7 gigawattsCoreWeave rents out AI computing capacity, and the gap between the power it has signed up and the power it has actually energised shows how much more is still coming online. Active power reached 1.5 gigawatts at the end of the second quarter of 2026, while total contracted power reachedCoreWeave Q2 2026 earnings releaseQ2 2026
- EstimateCompute30 to 170 million concurrent frontier-model AI agentsEpoch AI modeled how many AI agents the world's memory-chip supply could run, and estimates that high-bandwidth memory shipped through 2027, once fully deployed to the task, could support as many asEpoch AIOct 2026
- PrimaryComputeTraining compute for frontier AI models has grown roughly 5.3x per year since 2010, per Epoch AIEpoch AI tracked the computing power used to train the largest AI systems built since 2010, and found that from one year to the next, that training compute has been multiplying by aboutEpoch AI2026 analysis, models from 2010-May 2024
- PrimaryCompute53% of newly deployed AI compute captured in 2026Epoch AI's database of the world's AI data centres is catching up fast to what's actually being built. The researchers say that so far in 2026 they've captured this share of all newly deployed AI computing capacity worldwide, compared with 39% in 2025 and 26% in 2024:Epoch AI2026
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