Leading Players: Top 5 players in this market include Nvidia Corporation, Super Micro Computer, Hewlett Packard Enterprise, Dell Technologies, IBM, which collectively held a market share of 40% in 2024. To bring clarity to the market, ABI Research's AI Server OEMs Competitive Ranking assesses eight global AI server companies. We evaluated server manufacturers based on performance, partner channels, workload optimization, environmental impact, future-readiness, and other criteria. 88 billion in 2024 and is projected to reach USD 837. (US), Hewlett Packard Enterprise Development LP (US), Lenovo (Hong Kong), Huawei Technologies Co. Behind every smart AI algorithm is a powerhouse of raw computing: servers that process billions of calculations per second, data centers that consume as much power as small cities, and specialized hardware built to handle AI's relentless demands. These massive computing needs have given rise to a. The AI Server landscape is evolving rapidly, driven by the need for higher processing power, efficiency, and scalability. Enterprises are seeking solutions that can handle complex workloads, from machine learning training to real-time inference. With numerous vendors vying for dominance, choosing. The NVIDIA H100 Tensor Core GPU offers a world-leading PCIe card memory bandwidth exceeding 2,000 gigabytes per second (GBps) and supports various math precisions (FP64, FP32, FP16, INT8).