Explore the foundational technologies and hardware driving the artificial intelligence boom. From next-generation data centers and custom silicon to advanced networking and energy solutions, discover the deep tech investments building the physical and digital layers that power the AI era.
MGX, the Abu Dhabi investment firm backed by Mubadala and G42, has closed Fund I at $49 billion — above target — with a portfolio spanning OpenAI, Anthropic, xAI, and $40 billion in data centre infrastructure.
The combined capital expenditure tracked across 45 companies reached $941.5 billion as of July 2026, with $399.5 billion directly attributable to AI. The Big Four account for $580 billion of the total.
Hyperscalers have committed 9.8 GW of nuclear capacity for AI data centers, signing 13 deals worth billions. Nuclear is no longer optional for AI infrastructure.
Neocloud GPU pricing runs 40–85% below hyperscalers, but egress, idle cycles, and workload type can erase the savings. Here is how to calculate total cost per token and per training step.
Mark Zuckerberg spent $182.9 billion building AI infrastructure. Now he's renting it out. Meta Compute goes head-to-head with AWS, Azure, and Google Cloud.
A $400 Apple Watch sensor can now estimate biological age with 2.4 years of error. The PpgAge study, Fountain Life, and ARPA-H are turning wearable data into a longevity diagnostic.
Space Forge completed the first commercial semiconductor manufacturing run in orbit as the Semiconductor Superiority Act extends CHIPS Act tax credits to space-based fabrication.
Together AI's $800M Series C at $8.3B signals the neocloud sector has graduated to an institutional asset class. Analysis of the funding round, the cost collapse driving open-source AI adoption, and what it means for investors.