AI Data Center Infrastructure
AI Data Center Infrastructure covers companies that build the compute, storage, power, cooling, and services needed to run large machine learning models and high-throughput inference workloads. Capital flows to this area because growth in model size and data volumes raises demand for denser servers, faster storage, and upgraded facility power and cooling.
13 of 16 stocks are in a Stage 2 uptrend.
Stocks in this theme
| Ticker | Price | 1M | 3M | 1Y | Stage | Trend | vs 52w high |
|---|---|---|---|---|---|---|---|
| PEverpure, Inc. | $130.78 | +40.7% | +69.5% | +58.7% | Stage 2 (extended) | 7/7 | 0% |
| HPEHewlett Packard Enterprise Co | $63.89 | +22.3% | +45.4% | +166.2% | Stage 2 (extended) | 7/7 | 0% |
| SMCISuper Micro Computer, Inc. | $41.07 | +10.2% | +40.0% | -10.4% | Stage 2 (continuation) | 6/7 | -30.01% |
| NTAPNetApp, Inc. | $210.08 | +13.4% | +34.3% | +77.2% | Stage 2 (extended) | 7/7 | 0% |
| DELLDell Technologies Inc. | $537.95 | +18.0% | +26.5% | +301.8% | Stage 2 (extended) | 7/7 | -8.57% |
| CHRNChronoScale Holdings Corp | $19.73 | +8.5% | +11.8% | +261.4% | Stage 2 (continuation) | 6/7 | -33.41% |
| ABMAbm Industries Inc /De/ | $48.1 | +3.1% | +8.0% | +5.4% | Stage 1 | 5/7 | -4.94% |
| MAASMaase Inc. | $16.34 | +0.2% | +4.6% | +376.4% | Stage 2 (continuation) | 7/7 | -23.07% |
| NBISNebius Group N.V. | $235.88 | +14.3% | +2.9% | +114.0% | Stage 2 (re-acceleration) | 7/7 | -17.72% |
| STXSeagate Technology Holdings plc | $922.34 | +11.3% | +0.8% | +302.5% | Stage 2 (continuation) | 7/7 | -15.69% |
| IESCIES Holdings, Inc. | $321.08 | +6.0% | -8.3% | +64.3% | Stage 2 (re-acceleration) | 7/7 | -19.12% |
| SNDKSandisk Corp | $1739.89 | +11.1% | -14.4% | +1432.9% | Stage 2 (re-acceleration) | 6/7 | -25.49% |
| PENGPenguin Solutions, Inc. | $54.69 | +11.4% | -20.5% | +109.2% | Stage 2 (continuation) | 6/7 | -32.81% |
| VRTVertiv Holdings Co | $241.31 | -6.7% | -22.5% | +68.4% | Stage 1 | 3/7 | -35.86% |
| MODModine Manufacturing Co | $187.2 | +4.9% | -23.4% | +32.6% | Stage 1 | 3/7 | -39% |
| WDCWestern Digital Corp | $454.46 | +0.9% | -24.1% | +289.3% | Stage 2 (re-acceleration) | 6/7 | -39.1% |
Deep dive
This theme focuses on hardware and facilities that support artificial intelligence workloads at scale. Components include rack servers optimized for accelerators, high-capacity and high-performance storage, networking and power distribution, and mechanical systems for cooling. Constituents listed here span established server makers, storage firms, facility services, and component suppliers that together enable data centers to host training and inference workloads.
Demand for AI data center infrastructure comes from three technical trends: larger and more complex machine learning models that require many accelerators and high-memory bandwidth; rapid growth in data that must be stored and moved; and a shift toward specialized hardware that increases per-rack power density. Cloud providers and enterprises expanding AI projects create steady capacity needs, while efficiency and sustainability targets push operators to upgrade power and cooling. Supply constraints for accelerators and certain components can also redirect capital into alternative hardware and services.
The value chain splits into several roles. Server OEMs and system integrators include Dell Technologies (DELL), Hewlett Packard Enterprise (HPE), Super Micro Computer (SMCI), Penguin Solutions (PENG), and Maase (MAAS); these companies assemble chassis, motherboards, and systems designed for GPUs and other accelerators. Storage and data management vendors include NetApp (NTAP), Seagate (STX), Western Digital (WDC), and Sandisk (SNDK); these firms supply disk, flash, and storage arrays for capacity and performance needs. Facility infrastructure providers include Vertiv (VRT) for power and thermal hardware, Modine (MOD) for cooling components, and ABM (ABM) and IES Holdings (IESC) for installation and maintenance services. Smaller or specialized firms such as ChronoScale (CHRN), Nebius (NBIS), Everpure (P), and others fill niche roles in cloud software, data services, or component supply.
Whether capital continues to flow into this theme depends on a mix of technical, economic, and regulatory factors. Steady growth requires continued demand for compute-intensive AI workloads and reasonably priced access to accelerators and high-bandwidth memory. Energy costs, availability of low-carbon power, and permitting rules for new facilities affect the cost of running dense data centers. Supply-chain stability for semiconductors and storage components shapes vendor margins and delivery times. Finally, efficiency improvements in models or broader shifts toward edge processing could reduce centralized demand, while further specialization of hardware could raise spending on custom infrastructure.