Qualcomm unveils two new smartphone chips focused on AI
chips
| Source: TechCrunch | Original article
Qualcomm unveiled two new smartphone chips, with its flagship processor capable of running a 30‑billion‑parameter mixture‑of‑experts AI model locally on the device.
Qualcomm has unveiled two new smartphone processors, positioning the flagship as the first mobile chip capable of running a 30‑billion‑parameter mixture‑of‑experts (MoE) model entirely on the device. The announcement signals a shift toward on‑device AI that can handle the scale of large language models without relying on cloud inference.
Running a MoE model of this size locally means users could access sophisticated language‑understanding and generation capabilities with lower latency, reduced data‑privacy concerns, and less dependence on network connectivity. For manufacturers, the ability to embed such power in a handset opens the door to richer AI‑driven features—real‑time translation, advanced personal assistants, and context‑aware applications—while potentially easing the bandwidth load on mobile networks.
The move arrives as Europe intensifies its push for home‑grown AI hardware, exemplified by the recent €40 million NADI challenge to accelerate AI‑assisted chip design. Qualcomm’s new silicon could become a benchmark for future European and global efforts to bring large‑scale models to the edge.
What to watch next includes performance benchmarks against competing processors, the timeline for integration into flagship phones, and how developers will adapt existing AI frameworks to exploit the on‑device MoE capability. The rollout will also test whether the promised cost and power efficiencies hold up in real‑world usage, shaping the next wave of AI‑centric mobile experiences.
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