NVIDIA is creating a new ecosystem of "Premium" AI PCs powered by its RTX hardware which are much faster than AI-capable NPUs that are taking the industry by storm.
NVIDIA is developing a suite of new ecosystems for the consumer market. We have already talked about the new "SFF Enthusiast GeForce GPU" platform which will empower manufacturers to make new compact and small form factor PCs powered by RTX GPUs but that's not all. In a meeting with manufacturers and media, NVIDIA highlighted its contributions to the AI PC segment and how it is planning to take the next leap forward with new ambitious ideas.
Starting with the most basic premise, we have the NVIDIA GeForce RTX GPU. The current GeForce RTX lineup and the ones that came before them have been featuring AI support since 2018, that's almost 6 years ago when the company first introduced its Deep Learning model for gamers known today as DLSS. DLSS is widely in use and the driving force behind DLSS is the Tensor architecture which was adopted first for the data center "Volta" GPUs and launched in the mainstream graphics segment with the arrival of the GeForce RTX 20 "Turing" family.
As of right now, the most basic RTX GPUs, the RTX 2050 and RTX 3050, offer around 15-20 TOPS of AI performance which matches or exceeds the 16 TOPs offered in the fastest NPU, the XDNA 1 from AMD for its Ryzen 8040 "Hawk Point" APUs. These NPUs provide consumers the basic compute capabilities to handle AI tasks locally rather than running them in the cloud which is now considered the "old way" and only useful for large-scale enterprises. NVIDIA has some really fast GPUs such as its recently introduced Blackwell lineup for that too.
This year, multiple PC vendors will be upgrading their AI PC portfolio
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