Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

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 Aufrufe • vor 8 Monaten •via X (Twitter)

28 Kommentare

Profilbild von ikan laut
ikan lautvor 8 Monaten

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.

Profilbild von Ankit Yadav
Ankit Yadavvor 8 Monaten

Can't wait to try it in the development

Profilbild von Senior CRUD Monkey
Senior CRUD Monkeyvor 8 Monaten

Define "universal"

Profilbild von Respo
Respovor 8 Monaten

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

Profilbild von Moon 🎑
Moon 🎑vor 8 Monaten

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

Profilbild von Adi | Resolved Markets
Adi | Resolved Marketsvor 8 Monaten

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

Profilbild von Amit Kairon
Amit Kaironvor 8 Monaten

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

Profilbild von CEO del Socialismo de Mercado🌹🕊️ 市场社会主义CEO
CEO del Socialismo de Mercado🌹🕊️ 市场社会主义CEOvor 8 Monaten

@ecuarauz

Profilbild von 10turtle
10turtlevor 8 Monaten

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.

Profilbild von Адам Прокопович
Адам Прокоповичvor 7 Monaten

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

Profilbild von Aayush Pathak
Aayush Pathakvor 8 Monaten

@grok how is this different from google ai edge

Profilbild von sol
solvor 8 Monaten

@CM_CryptoMatrix 变化真的很快

Profilbild von Akshay Bhasme
Akshay Bhasmevor 8 Monaten

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.

Profilbild von Sriram Kiron
Sriram Kironvor 8 Monaten

awesome

Profilbild von OOM
OOMvor 8 Monaten

I love any advances in on device tech

Profilbild von vivek nakalgaonkar
vivek nakalgaonkarvor 8 Monaten

@grok is it lighter than gema?

Profilbild von Kanthipriya Mahale
Kanthipriya Mahalevor 7 Monaten

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.

Profilbild von 🌊 Sorbus
🌊 Sorbusvor 8 Monaten

There will be optimization for others Hexagon NPU?

Profilbild von Saïd Aitmbarek
Saïd Aitmbarekvor 8 Monaten

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

Profilbild von ZETIC
ZETICvor 8 Monaten

@grok does LiteRT run ANE on iOS devices?

Profilbild von Sebastian Buzdugan
Sebastian Buzduganvor 8 Monaten

unified npu support with jax is super interesting

Profilbild von Delight Okechukwu
Delight Okechukwuvor 8 Monaten

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

Profilbild von Chathebots
Chathebotsvor 8 Monaten

@grok comment esseyer ?

Profilbild von Musty
Mustyvor 8 Monaten

Hey I want to do an internship in your organization

Profilbild von Emma
Emmavor 8 Monaten

Is there a way to turn it off?

Profilbild von DreamCode
DreamCodevor 8 Monaten

cool, research it.

Profilbild von Peter
Petervor 7 Monaten

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

Profilbild von Mark Okafor
Mark Okaforvor 8 Monaten

AI tip of my fingers 👍🏿

Ähnliche Videos