Power Saving Technlogies for AI Data Centers
The following table includes companies focusing on power optimization for AI data centers and power-saving technologies. These firms are developing energy-efficient hardware, AI-driven cooling systems, and intelligent power management solutions to address the growing energy demands of AI workloads in data center
| Company Name | Stock Symbol | Primary Focus | Power Optimization Relevance |
|---|---|---|---|
| NVIDIA | NVDA | AI chips and computing | Energy-efficient GPUs for AI workloads |
| Intel | INTC | Semiconductors and computing | Energy-efficient server technologies for AI |
| Advanced Micro Devices (AMD) | AMD | Semiconductors | Energy-efficient processors for AI applications |
| Schneider Electric | SU.PA | Energy management and automation | AI-driven power management for data centers |
| Vertiv | VRT | Critical digital infrastructure | Cooling systems for high-density AI racks |
| Bloom Energy | BE | Fuel cell technology | Efficient power generation for data centers |
| Eaton | ETN | Power management solutions | Power distribution for AI-ready data centers |
| ABB | ABBN.SW | Electrification and automation | Power optimization for AI infrastructure |
| Google (Alphabet) | GOOGL | AI and cloud services | AI-powered cooling optimization in data centers |
| Microsoft | MSFT | Cloud and AI services | AI-driven workload scheduling for energy efficiency |
| Meta Platforms | META | Social media and AI | AI models for data center safety and efficiency |
| Pure Storage | PSTG | Data storage solutions | AI-powered storage optimization and analytics |
| CyrusOne | CONE | Data center real estate | High-density infrastructure for AI computing |
| Digital Realty | DLR | Data center solutions | Sustainable data center designs for AI workloads |
| Switch | SWCH | Data center ecosystems | Advanced cooling for high-performance AI systems |
