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LiteRT is here. The universal framework for on-device AI. 📱💻 ✨ 1.4x faster GPU performance ✨ Unified NPU acceleration ✨ Seamless PyTorch and JAX support ✨ Ready for Gemma and gen AI Build faster, simpler, and everywhere. Read the blog:
194,484 просмотров • 8 месяцев назад •via X (Twitter)
Комментарии: 28

This is what I need. To build web, applications, and AI. Then maybe in the future also supercomputers, so that quantum no longer relies on laptops or computers, but only in handheld devices such as smartphones, smart glasses and AR/VR/XR/MR devices.

Can't wait to try it in the development

Define "universal"

@grok what is this new LiteRThow is this useful is it related to AI

Smartphone can now be automated, ready to take tasks into action.

The real win here is unified NPU acceleration across different hardware. Means devs can finally stop writing separate optimization paths for every chipset vendor.

Insane, this is going to shake things up..waiting for devices to get ripped up.

@ecuarauz

On-device AI frameworks like this can be a big win for businesses better performance, lower latency, and more privacy. That combination matters for real-world adoption.

Hello. I was banned from Google AI Developers Forum. Can someone review my account and lift the unreasonable suspension?

@grok how is this different from google ai edge

@CM_CryptoMatrix 变化真的很快

Hi @googledevs @GoogleIndia @GooglePlay — your partner @BillDesk_India is having a serious connectivity issue. I’ve been unable to complete my onboarding for 3+ days. The form won’t proceed at all. Please look into this.

awesome

I love any advances in on device tech

@grok is it lighter than gema?

On-device AI is underrated. I built Aiden — a fully offline executive assistant for iOS using Core ML. No cloud. No external servers. Everything runs locally. Privacy-first AI is the future.

There will be optimization for others Hexagon NPU?

we need more on-device/light frameworks & models, let's go!

@grok does LiteRT run ANE on iOS devices?

unified npu support with jax is super interesting

Faster GPUs and NPU support makes this very interesting for production use.

@grok comment esseyer ?

Hey I want to do an internship in your organization

Is there a way to turn it off?

cool, research it.

How to get these tools more popular to the Google fáns! Vids Stitch Flow Dopple Opal NotebookLM Whisk

AI tip of my fingers 👍🏿



