Hardware Reconstruction in Internet Companies: Server, Rack, Storage, and AI Hardware

Hardware reconstruction originates from internet companies, which are both promoters and practitioners of cloud computing. Because cloud services rely heavily on customized servers and storage, the article starts by discussing server customization for large‑scale internet applications.

Server and rack hardware reconstruction: In hyperscale data centers with over 100,000 servers, only a few vendors dominate, including the top six public‑cloud providers (Amazon, Google, Microsoft, Rackspace, Softlayer, Savvis), the largest CDN Akamai, the Open Compute Project initiator Facebook, and China’s BAT (Baidu, Alibaba, Tencent).

Traditional IT vendors such as Dell and HP have historically customized servers for giants like Google. As these internet firms scale to millions of servers, they can increasingly design and produce their own hardware, reshaping the supply model while maintaining competitive advantage through scale‑out, open ecosystems, and transparent IT stacks.

Scale‑out capability: Ability to run hundreds of thousands of servers for a single internet application.

Proprietary IP and open ecosystem: Companies adopt open‑source projects (e.g., OpenPower, GPS algorithms) and support diverse CPUs to avoid vendor lock‑in.

Transparency and IT‑stack visibility: Building siloed IT systems that bypass virtualization for maximum efficiency and application‑specific optimization.

Full‑cabinet deployment and delivery: Enables rapid provisioning, centralized power, cooling, and management, with dozens of servers sharing resources within a single rack. The “Scorpio” project exemplifies a complete cabinet solution.

Hardware customization and modular design: Removing unnecessary components (standard power supplies, USB ports, displays) and relocating I/O to the front, consolidating compute, network, and storage modules within a single chassis to maximize rack space utilization.

Storage hardware and service reconstruction: Traditional rack servers balance compute, storage, and networking, but internet workloads often favor either compute‑intensive or storage‑intensive configurations, leading to waste. Integrated cabinet solutions combine compute and storage nodes, differing from conventional IP storage that relies on external arrays.

Traditional IT stacks route data through OS/volume managers to storage controllers before reaching disks. With massive unstructured data, stateless key‑value stores simplify the stack: a hash of a file name maps directly to an HTTP endpoint, reducing I/O path complexity.

Artificial intelligence and hardware reconstruction: Beyond traditional PCs, AI hardware encompasses novel physical devices such as multi‑axis drones, autonomous vehicles, 3D printers, wearables, and specialized robots—new forms of “hard‑ware” emerging from the convergence of internet, big data, and maker cultures.

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