Supply Chain Analysis

Supply Chain Analysis

The AI datacenter supply chain is a complex ecosystem of companies across eight distinct layers. InvestorLens maps these layers to help users understand how capital flows through the entire stack.

The Eight Layers

GPUs & Accelerators

The compute layer. Companies making the AI training and inference chips that power large language models and AI workloads.

Key companies: NVDA (NVIDIA), AMD

NVIDIA's H100 and Blackwell platforms dominate AI training. AMD's MI300X series is the primary competitor. GPU availability and pricing is a critical bottleneck for AI infrastructure buildout.

Servers & Systems

The integration layer. Companies assembling AI-optimized servers and rack-scale systems that house GPUs.

Key companies: SMCI (Super Micro), DELL (Dell Technologies)

AI servers require specialized cooling, power delivery, and form factors. This layer sits between chip makers and end-user data centers.

Cooling & Thermal

The thermal management layer. AI GPUs generate enormous heat. Traditional air cooling is insufficient for high-density AI racks — liquid cooling is becoming standard.

Key companies: VRT (Vertiv), TT (Trane Technologies), CARR (Carrier Global)

Liquid cooling, immersion cooling, and precision air systems are all growing rapidly as GPU rack densities increase.

Power Infrastructure

The electrical layer. AI data centers require enormous amounts of electrical power. This layer covers the equipment that delivers it safely.

Key companies: ETN (Eaton), PWR (Quanta Services), HUBB (Hubbell)

Transformers, switchgear, UPS systems, and grid connectivity infrastructure are all seeing demand driven by data center expansion.

Utilities

The power generation layer. AI data centers need reliable, large-scale power supply. Utilities — especially those with nuclear and gas assets — are major beneficiaries.

Key companies: CEG (Constellation Energy), VST (Vistra Corp), TLN (Talen Energy)

Several hyperscalers have signed long-term power purchase agreements directly with nuclear plant operators.

Natural Gas

The fuel layer. Natural gas powers the peaker plants and backup generation that support data center uptime requirements.

Key companies: KMI (Kinder Morgan), WMB (Williams Companies), ET (Energy Transfer)

Natural gas pipeline infrastructure is a critical enabler of data center power reliability.

Water Infrastructure

The cooling input layer. Water is essential for cooling systems in large data centers. Water utilities and technology companies serve this need.

Key companies: XYL (Xylem), AWK (American Water Works)

Water scarcity and efficiency are growing concerns as data center density increases.

Nuclear Energy

The clean baseload layer. Nuclear power offers carbon-free, always-on electricity at scale — making it attractive for hyperscalers with clean energy commitments.

Key companies: OKLO (Oklo Inc), SMR (NuScale Power)

Small modular reactors (SMRs) are attracting significant investment as a future power source for AI data centers.