We have already written about the first of these vectors
Posted: Thu Jan 23, 2025 3:57 am
Personal computers have moved from being not just desirable but absolutely necessary devices in the office and at home, as they were in the early 2000s, to the nice-to-have category — "interesting, in principle, but easy to get by with." They are still eagerly purchased to equip workplaces, but sales to private consumers are declining — and the prospects for this segment as a whole are not the most enviable. More precisely, they were like this until very recently — until developers have apparently found a second vector for the possible return of interest in PCs among the general public.
: this is "AI-PC"; systems bolivia whatsapp resource with advanced hardware for local launch of generative models of artificial intelligence (AI). The attractiveness of this kind of computer is self-evident: as machine learning tools are actively developing, ready-made, pre-trained models no longer need to be launched in servers equipped with super-powerful graphics adapters with tens of GB of video memory on board - a regular gaming video card with 16, 8 or even 4 GB is enough.
So far, this is only true for specialized AI — converting a text description into a picture, for example — but for solving specific business problems (like communicating with clients on the first line), the full power of the "intelligence" of the notorious ChatGPT is not required. In addition, developers are already working on creating NP (neuroprocessors, similar to CPUs — central and GPUs — graphic), which, at a lower cost than current gaming video cards, will be able to solve generative AI problems more effectively. PCs equipped with NP will be in high demand both by private enthusiasts of this kind of computer models and by business customers who today are hesitant to involve publicly available cloud AI to solve their urgent problems — after all, to do this, when setting a task for a chatbot, it is necessary to post very sensitive information in the public domain.
The second vector, indicating the direction of a possible surge in demand for not the cheapest PCs, was recently indicated almost simultaneously by HP and LG, presenting to the public folding laptops with 17-inch (when open) screens. Strictly speaking, the championship in this direction does not belong to them - Lenovo demonstrated the ThinkPad X1 Fold model with a 13.3-inch folding display back in 2020 (the OLED matrix of which was developed, by the way, by the same LG). True, the X1 Fold also had a 10.8-inch external display - monochrome, based on E-Ink technology - plus compatibility with the Active Pen graphic pen, plus a hardware Bluetooth keyboard included ... In short, it was an expensive and multifunctional device with an obviously not very confidently defined target audience.
Over the past three years, PC vendors have apparently learned from that debut — and have tried to take a more thorough approach to positioning their foldable gadgets. The HP Spectre Foldable PC, which also comes with a magnetic wireless keyboard (in case the on-screen keyboard isn't convenient enough for the user), was deliberately created as a prototype: its incredible $5,000 MSRP is a result of the developers' "convenience over affordability" approach. Having worked out the key elements of the technology and collected feedback from users, the developers will likely then implement the most winning ideas in models that are more accessible to the general market.
: this is "AI-PC"; systems bolivia whatsapp resource with advanced hardware for local launch of generative models of artificial intelligence (AI). The attractiveness of this kind of computer is self-evident: as machine learning tools are actively developing, ready-made, pre-trained models no longer need to be launched in servers equipped with super-powerful graphics adapters with tens of GB of video memory on board - a regular gaming video card with 16, 8 or even 4 GB is enough.
So far, this is only true for specialized AI — converting a text description into a picture, for example — but for solving specific business problems (like communicating with clients on the first line), the full power of the "intelligence" of the notorious ChatGPT is not required. In addition, developers are already working on creating NP (neuroprocessors, similar to CPUs — central and GPUs — graphic), which, at a lower cost than current gaming video cards, will be able to solve generative AI problems more effectively. PCs equipped with NP will be in high demand both by private enthusiasts of this kind of computer models and by business customers who today are hesitant to involve publicly available cloud AI to solve their urgent problems — after all, to do this, when setting a task for a chatbot, it is necessary to post very sensitive information in the public domain.
The second vector, indicating the direction of a possible surge in demand for not the cheapest PCs, was recently indicated almost simultaneously by HP and LG, presenting to the public folding laptops with 17-inch (when open) screens. Strictly speaking, the championship in this direction does not belong to them - Lenovo demonstrated the ThinkPad X1 Fold model with a 13.3-inch folding display back in 2020 (the OLED matrix of which was developed, by the way, by the same LG). True, the X1 Fold also had a 10.8-inch external display - monochrome, based on E-Ink technology - plus compatibility with the Active Pen graphic pen, plus a hardware Bluetooth keyboard included ... In short, it was an expensive and multifunctional device with an obviously not very confidently defined target audience.
Over the past three years, PC vendors have apparently learned from that debut — and have tried to take a more thorough approach to positioning their foldable gadgets. The HP Spectre Foldable PC, which also comes with a magnetic wireless keyboard (in case the on-screen keyboard isn't convenient enough for the user), was deliberately created as a prototype: its incredible $5,000 MSRP is a result of the developers' "convenience over affordability" approach. Having worked out the key elements of the technology and collected feedback from users, the developers will likely then implement the most winning ideas in models that are more accessible to the general market.