Tech giants increasingly build custom processors to handle AI inference, the real-time execution of tasks and user queries.
This expanding inference market invites fierce competition from traditional chip rivals like Advanced Micro Devices and Intel Corporation.
Concurrently, Alphabet secures multi-billion-dollar deals for custom chips, while Amazon’s proprietary Trainium processors steadily gain significant market ground.
Nvidia’s stock lagged behind major competitors this year, prompting investors to scrutinize the company’s long-term growth engine strategy.
To defend its position, the firm acquired an inference startup and unveiled a powerful new central processor system.
Wall Street expects first-quarter revenue to surge 79%, fueled by massive infrastructure spending from Microsoft and Meta Platforms.
However, potential risks emerge as a slower-than-expected buildout of global data centers could bottleneck immediate chip deliveries.
Furthermore, rising production costs and competing local alternatives in China could soon pressure Nvidia’s lucrative profit margins.
