Currently, the AI industry is undergoing a notable shift: competition among tech giants is no longer limited to “scrambling for chips,” but has evolved into “scrambling for chip companies.”
In the past, the industry was accustomed to simply purchasing ready-made chips. Today, GPU companies, cloud providers, and AI large model firms are all using equity stakes, long-term contracts, capital investments, and other means to deeply bind themselves to supply-chain enterprises. This is no longer mere “buying cards and stockpiling inventory.” What the giants are fighting for is not just currently available computing power, but also production capacity quotas for the next several years, chip customization capabilities, and discourse power over system-level technologies.
Facing the tight computing-power supply chain, GPU manufacturers, cloud service providers, and AI large-model companies possess different resources and face different situations, leading them to evolve distinct layout strategies.
GPU Giants: Using Acquisitions to Complete the System Landscape
For chip manufacturers like NVIDIA(NVDA 0.00%↑) and AMD 0.00%↑ , investing in or acquiring chip startups is not merely about strengthening individual products, but about building complete system capabilities around computing clusters.
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