Dell, HPE, Lenovo, and Supermicro are riding record AI server demand, but winning enterprise customers requires more than just Nvidia chips. With GPUs standardized around Nvidia, vendors compete on AIOps, liquid cooling, and deployment services as enterprises ramp up inference. Beyond providing the physical hardware, customers have come to expect AI server Original Equipment Manufacturers (OEMs) to offer cooling technology, infrastructure management software, and professional services. To bring clarity to the. AI servers accelerate model training and real-time inference, delivering powerful computing with CPUs, GPUs, and specialized AI accelerators. Their scalable and efficient architecture enables businesses to run AI workloads faster and more effectively. Las Vegas, NV – Today at Tech World @ CES 2026 at Sphere in Las Vegas, Lenovo announced a suite of purpose-built enterprise servers, solutions and services for AI. The global AI inference market is expected to be valued at USD 106. 15 billion in 2025 and is projected to reach USD 254. The growth of the AI inference market is significantly propelled by advancements in AI inference chips and. Every AI breakthrough, from self-driving cars to LLMs, depends on ultra-fast servers crunching numbers behind the scenes.