AI Semis – the Have and Have Nots
Qualcomm has a robust AI offering, and the market for AI Inference at the Edge is huge. But Qualcomm and every other company not named Nvidia, will struggle to ride this wave to AI riches.
Qualcomm has a robust AI offering, and the market for AI Inference at the Edge is huge. But Qualcomm and every other company not named Nvidia, will struggle to ride this wave to AI riches.
How do CPU companies market in a newly, highly-fragmented market? There are no easy answers in this very complex, rapidly moving environment, but there is some hope.
Apple has a history of relegating its homegrown chips to the Apple Watch. Is that the fate of their future cellular modem?
Analog and digital chip companies have operated largely independently for years, but those boundaries are shifting, which may be opening up some major opportunities.
There are really three markets for AI semis – training, cloud inference and edge inference. All of them are already fairly crowded. Choose your battles carefully.
We provide a basic look at why GPUs are the chip of choice for AI workloads, with a look at the early days of Nvidia CUDA.
GF’s results disappointed, and opens the door to questions about its long term future.
Should we value Nvidia as a software stock? Its CUDA software is a major competitive advantage in AI. Even if we do this, it is hard to get comfortable with the current share price.
Many semis companies say they want to sell software. We think they really want recurring revenue and software company multiples. And what they really need is competitive advantage, which software can sometimes provide but is not the only way.
China has become a net exporter of vehicles for the first time in its history. They are selling a lot of EVs to the world, and that will reverberate throughout the global economy.