The AI Success Mantra
There’s no one surefire way to succeed in AI. It can be achieved by employing various strategies and methods, and what works for one, may not work for another, thus making each journey unique. The same holds true for chipmakers and hardware companies like NVIDIA, Qualcomm, Huawei, Intel, AMD, Cerebras, and others. In this AI hardware race, there is no single winner — each of them follows a unique approach.
While NVIDIA and Huawei seem to be pouring their heart and soul into making AI supercomputers, Qualcomm is busy experimenting with bringing AI edge use cases, which is similar to Apple’s approach of developing and promoting on-device AI models.
And, while Apple hasn’t officially announced that it is building GPT-like models for its devices, Qualcomm has said that a hybrid-AI approach is essential for reducing the cost of running AI models on a single device.
Interestingly, Intel has also decided to strides into the GPU market, getting closer and closer to NVIDIA. Pat Gelsinger, the CEO of Intel, believes that the company now has a simpler roadmap for its GPU and accelerators, and plans to onboard Falcon Shores 2, the second version of its AI superchip, by 2026.
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