Qualcomm: AI firms aim to run 100-billion parameter models on phones by 2028
AI companies aim to have future smartphones running massive AI models with 100 billion parameters locally by 2028, according to Qualcomm's CEO.
What happened?
Qualcomm's CEO has revealed that leading AI firms are striving for smartphones to be capable of running 100-billion parameter AI models locally and continuously by 2028. The statement followed discussions within the AI and hardware forum r/LocalLLaMA. Running models of this scale directly on a device requires drastic advancements in memory bandwidth, power consumption, and circuit architecture.
Key facts
| Målstorlek för modell | 100 miljarder parametrar |
|---|---|
| Målår | 2028 |
| Driftläge | Kontinuerligt lokalt på enheten |
Why it matters
Currently, models with 100 billion parameters typically require powerful data centres and dedicated graphics cards to run efficiently. Moving this computational power directly to mobile devices reduces dependence on cloud services, lowers latency, and strengthens user privacy. However, it places enormous demands on future chip designs from manufacturers such as Qualcomm, Apple, and MediaTek.
Who is affected?
This initiative primarily impacts mobile manufacturers, chipmakers, and application developers who need to adapt their software for large-scale local AI. End users can expect more advanced and functional AI assistants that operate without an internet connection and with higher privacy standards.
Impact on the EU
Existing EU regulations, such as the EU AI Act and GDPR, impose strict requirements regarding data integrity and local processing. Running AI models locally on devices within the EU may facilitate compliance with data protection laws, but it necessitates high levels of hardware efficiency and energy performance.
What else you should know
The statement underscores an ongoing race within the semiconductor and AI sectors where the boundary between cloud-based and local computing is shifting rapidly. It remains to be seen how battery technology and cooling solutions in smartphones will evolve to handle the continuous workload.
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