(US), Hewlett Packard Enterprise Development LP (US), Lenovo (Hong Kong), Huawei Technologies Co. Here's a closer look at 10 AI infrastructure companies worth evaluating—what they offer, what they cost, and where they fit: Pricing and feature information in this article are based on publicly available documentation as of February 2026 and may vary by region and workload. For the most current. 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. This week Data Centre Magazine explores the top 10 companies defining the future of enterprise technology and reshaping how organisations leverage computing power at scale. Tencent Ma Huateng CEO of Tencent (Credit: Forbes) Tencent, co-founded by Ma Huateng, operates Tencent Cloud, launched in. Top AI hardware companies include NVIDIA, AMD, Intel, Apple, Qualcomm, Google, AWS, Microsoft, TSMC, and Graphcore, powering AI solutions worldwide across the cloud, edge, and enterprise. Why is NVIDIA dominant in AI hardware? NVIDIA leads due to high-performance GPUs, innovative architectures. 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.