AI Models & Companies · On-Device AI Models

Which Phones and Laptops Currently Run AI Models Locally?

A growing number of recent flagship smartphones and laptops from major manufacturers include dedicated AI processing hardware — often called a neural processing unit — that enables on-device AI features, though exact capabilities and which specific features run locally versus in the cloud vary by device, model generation, and manufacturer.

Key takeaways

Many recent flagship smartphones from major manufacturers include dedicated neural processing hardware built specifically to accelerate on-device AI tasks.
A number of laptop makers and chip manufacturers have introduced processors marketed specifically around on-device AI capability.
Having AI-capable hardware doesn't guarantee every AI feature on that device runs entirely locally — many products still use a hybrid, cloud-plus-device approach.
Because device generations and specifications change frequently, checking a specific model's current specifications is the most reliable way to confirm its on-device AI capability.

Dedicated AI Hardware Has Become Increasingly Common

Over recent product generations, a growing number of smartphone and laptop manufacturers have built dedicated AI processing hardware — commonly referred to as a neural processing unit or AI accelerator — directly into their devices’ chips. This specialized hardware is designed specifically to run AI computations more efficiently than a general-purpose processor alone, making practical on-device AI features feasible on consumer hardware without requiring a connection to a remote server. This trend has been especially pronounced in flagship and premium-tier smartphones and laptops, where manufacturers have increasingly marketed on-device AI capability as a headline feature of new models.

Because the specific hardware included, along with its performance, changes with each new product generation, there isn’t a fixed, permanent list of “AI-capable” devices — what qualifies keeps expanding and evolving as manufacturers release newer models with more capable AI hardware.

Why Hardware Generation and Tier Matter

Not every device, even from the same manufacturer, includes the same level of on-device AI capability. Flagship and premium-tier devices have generally been the first to receive dedicated AI acceleration hardware and the increased memory that on-device models typically require, while budget or older devices may lack this hardware entirely or include a less capable version. This means whether a specific phone or laptop can run AI models locally, and how well, often correlates closely with its release date and market tier rather than being a universal feature across an entire brand’s product line.

Checking a Specific Device Directly

Given how quickly device specifications change, the most reliable way to determine whether a particular phone or laptop supports on-device AI, and to what extent, is to check that specific model’s official technical specifications for mentions of dedicated AI or neural processing hardware, along with its memory capacity. Manufacturer and AI platform documentation is generally the most current and accurate source for this kind of device-specific detail, more reliable than general lists that can quickly go out of date as new hardware ships.

Software Support Matters as Much as the Chip Itself

Having capable AI hardware inside a device is only part of the picture — the operating system and software layer also need to be updated to actually take advantage of that hardware for specific on-device AI features. This means two devices with similar underlying chips can still offer a different practical on-device AI experience depending on how their manufacturer has implemented software support, and it’s part of why the same physical hardware can gain new on-device AI capabilities over time through software updates alone, even without any change to the device itself.

Bottom Line

A growing number of recent flagship smartphones and laptops include dedicated AI processing hardware that enables on-device AI features, but capability varies significantly by manufacturer, product tier, and release generation, making it worth checking a specific device’s current official specifications rather than relying on general assumptions.

Go deeper

Important caveats

Specific device capabilities change rapidly with new product generations, so any general list can quickly become outdated.
Marketing terms like 'AI-powered' don't always specify whether a given feature runs fully on-device or relies partly on cloud processing.

Frequently asked questions

Do all new smartphones support on-device AI?

Not all — on-device AI capability generally depends on whether a device includes dedicated AI processing hardware and sufficient memory, which tends to be more common in recent flagship or premium models than in budget devices, though this is expanding over time across more of the market.

How can you check if a specific phone or laptop supports on-device AI?

Checking the manufacturer's official specifications for mentions of a neural processing unit, AI accelerator, or similar dedicated AI hardware, along with the device's memory capacity, is generally the most reliable way to confirm on-device AI capability for a specific model.

Do laptops need special hardware to run AI models locally?

Running AI models efficiently on a laptop generally benefits from dedicated AI acceleration hardware and sufficient memory, though some AI tasks can also run using general-purpose processors or graphics hardware, typically with less efficiency than dedicated AI-specific hardware provides.

Sources

[1]On-device AI hardware and platform documentation — Google AI
[2]Open and efficient model resources — Hugging Face

Written by Editorial Team

Last updated July 25, 2026

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