Indian GPU cloud operator, H100 and H200 deployment hosted at NTT and Yotta, selected in the government IndiaAI Mission.
E2E Networks was selected by the Indian government in the $1.2B IndiaAI Mission program building a national fleet of 18,000 GPUs. The model is asset-light: E2E leases data center capacity from NTT and Yotta rather than building. Quarterly revenue quadrupled in 2024, but a 50x sales valuation makes it dependent on the execution of Indian public contracts, whose timeline remains unclear.
Indian sovereign bet on national AI cloud. Small-cap, stretched valuation, and dependence on the political timeline of IndiaAI Mission.
Everything you need to know about NeonBridge and the compute economy.
Oil powered the 20th century. Compute powers the 21st. Every time an AI model runs or a Bitcoin block is mined, it takes energy, chips, data centers, and cloud infrastructure to make it happen. The companies building all of that form the compute economy. NeonBridge tracks 200+ of them across 7 categories.
Just like oil or electricity, compute is a raw resource that every industry needs. AI models can't train without GPU cycles. Bitcoin can't exist without hashrate. As demand grows, the companies that produce, store, and distribute compute become critical infrastructure. That makes compute the defining commodity of this century.
AI and Bitcoin are not two separate topics. They are two expressions of the same industrial revolution. AI transforms compute into intelligence. Bitcoin transforms compute into verifiable scarcity. Both need the same physical foundations: energy, chips, and data centers. That is why NeonBridge tracks them together, as one economy.
Most companies in the tracker are publicly listed stocks you can buy through any brokerage account. We highlight EU-friendly brokers like Trade Republic, Interactive Brokers, DEGIRO, and Scalable Capital to help you get started. No crypto wallet needed for the equity side.
Like any sector, compute infrastructure carries risk. Chip supply chains can be disrupted by geopolitics. Energy costs fluctuate. AI regulation is evolving fast. Bitcoin mining profitability depends on network difficulty and price cycles. Diversifying across the 7 categories of the compute economy helps reduce exposure to any single risk.
Global AI compute capacity doubles every 6-7 months, fueled by explosive AI adoption outpacing historical trends, with contributions from Bitcoin mining infrastructure repurposing and autonomous systems. Governments worldwide have committed hundreds of billions to chip manufacturing and power infrastructure. This reflects an enduring industrial shift comparable to electrification.
