All 34 stocks
Every name on the board, grouped by where it sits in the AI supply chain.
Prices as of 2026-08-06 13:23 UTC. Updates live in your browser.
AI chips
Companies designing the processors that train and run AI models — GPUs, custom accelerators and the CPUs alongside them.
Optical & networking
The interconnect layer. Once a model spans thousands of accelerators, the switches and optics between them become the bottleneck.
More on optical & networking →
Memory & storage
High-bandwidth memory and the storage beneath it. Memory bandwidth, not compute, is what most often limits AI training throughput.
Neoclouds
Specialist GPU cloud operators renting accelerated compute, typically on multi-year contracts and heavily debt-funded.
Equipment & EDA
The tools and software that make chips possible — lithography, deposition, etch, inspection and the design software behind every layout.
Power & systems
Racks, cooling and electricity. A datacentre full of accelerators is ultimately a power and thermal problem.