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Introducing NexaSDK for Android (Beta) — run the latest AI models locally, 9× more energy-efficient and 2× faster, on Android devices, powered by the Qualcomm Hexagon NPU. This is the first SDK to support NPU, GPU and CPU, unlocking the full power of every Android device — for example,...

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NEXA AI

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26,091 views • 8 months ago •via X (Twitter)

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The next generation of mobile apps will run multimodal AI locally by default. Today, we’re making it practical for developers to ship. We just launched NexaSDK for Mobile on Product Hunt. Developers can run the latest multimodal AI models fully on-device in iOS & Android apps with Apple Neural Engine and Qualcomm Hexagon NPU acceleration. In just 3 lines of code, build chat, multimodal, search, and audio features with no cloud cost, complete privacy, 2x faster speed and 9× better energy efficiency. Try out NexaSDK for Mobile and we’d love your feedback (Product Hunt link in thread).
1:21

The next generation of mobile apps will run multimodal AI locally by default. Today, we’re making it practical for developers to ship. We just launched NexaSDK for Mobile on Product Hunt. Developers can run the latest multimodal AI models fully on-device in iOS & Android apps with Apple Neural Engine and Qualcomm Hexagon NPU acceleration. In just 3 lines of code, build chat, multimodal, search, and audio features with no cloud cost, complete privacy, 2x faster speed and 9× better energy efficiency. Try out NexaSDK for Mobile and we’d love your feedback (Product Hunt link in thread).

NEXA AI

319,337 views • 6 months ago

For the first time, the latest LLMs run on the Apple Neural Engine — and NexaSDK is the only framework that makes it possible, powered by the NexaML engine. Last year, our two co-founders were invited by Apple DMLI team (Data & Machine Learning Innovation) to share their research about on-device multimodal model for local AI agents. One of the big questions in the room was: “Can the newest LLMs actually run on ANE?” At the time, nobody had a clear path. Today, that path exists. NexaSDK now runs Granite-4.0 (IBM), Qwen3 (Qwen), Gemma3 (Google), and Parakeet-v3 (NVIDIA) fully on Apple’s NPU — unlocking low-power, always-on, fast inference across Mac and iPhone. A new wave of NPU-first local AI apps is coming to Apple devices. Start with one line of code on Mac. iOS SDK coming soon.
1:42

For the first time, the latest LLMs run on the Apple Neural Engine — and NexaSDK is the only framework that makes it possible, powered by the NexaML engine. Last year, our two co-founders were invited by Apple DMLI team (Data & Machine Learning Innovation) to share their research about on-device multimodal model for local AI agents. One of the big questions in the room was: “Can the newest LLMs actually run on ANE?” At the time, nobody had a clear path. Today, that path exists. NexaSDK now runs Granite-4.0 (IBM), Qwen3 (Qwen), Gemma3 (Google), and Parakeet-v3 (NVIDIA) fully on Apple’s NPU — unlocking low-power, always-on, fast inference across Mac and iPhone. A new wave of NPU-first local AI apps is coming to Apple devices. Start with one line of code on Mac. iOS SDK coming soon.

NEXA AI

30,213 views • 7 months ago

Windows ML is now generally available! This milestone brings powerful, local AI capability to every Windows 11 device, harnessing the full power of the GPU, NPU, and CPU. Big thank you to the team and our silicon partners, AMD, Intel, NVIDIA, and Qualcomm, for their collaboration to unlock real-time, secure, and efficient AI experiences for developers on Windows. Let’s go 🚀!
1:16

Windows ML is now generally available! This milestone brings powerful, local AI capability to every Windows 11 device, harnessing the full power of the GPU, NPU, and CPU. Big thank you to the team and our silicon partners, AMD, Intel, NVIDIA, and Qualcomm, for their collaboration to unlock real-time, secure, and efficient AI experiences for developers on Windows. Let’s go 🚀!

Pavan Davuluri

11,663 views • 9 months ago

LFM2-2.6B-Transcript AMD🤝Liquid AI > Private, on-device meeting summarization > Cloud-level quality > Faster processing, lower memory footprint > Runs across CPU, GPU, and NPU on AMD Ryzen AI PC Great showcase of what tiny models can achieve when fine-tuned
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LFM2-2.6B-Transcript AMD🤝Liquid AI > Private, on-device meeting summarization > Cloud-level quality > Faster processing, lower memory footprint > Runs across CPU, GPU, and NPU on AMD Ryzen AI PC Great showcase of what tiny models can achieve when fine-tuned

Maxime Labonne

27,703 views • 6 months ago

Test your app on the latest partner hardware → Android Partner Device Labs is now stable in Android Studio Narwhal, giving you secure access to real devices from Samsung US, @OPPO, @vivo_Global, and more via Android Device Streaming.
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Test your app on the latest partner hardware → Android Partner Device Labs is now stable in Android Studio Narwhal, giving you secure access to real devices from Samsung US, @OPPO, @vivo_Global, and more via Android Device Streaming.

Android Developers

14,194 views • 9 months ago

Freepik is now on your phone 📲 The full power of our AI tools, from anywhere Get inspired, generate and edit on the go Available for iOS and Android
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Freepik is now on your phone 📲 The full power of our AI tools, from anywhere Get inspired, generate and edit on the go Available for iOS and Android

Freepik

519,411 views • 1 year ago

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:
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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:

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194,221 views • 5 months ago

The Android Performance Analyzer (APA) is available today in Open Beta! 🚀 It's our brand new system-wide profiler for Android devs, designed to help you analyze CPU, GPU, memory, and power usage to make apps and games run better and faster.
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The Android Performance Analyzer (APA) is available today in Open Beta! 🚀 It's our brand new system-wide profiler for Android devs, designed to help you analyze CPU, GPU, memory, and power usage to make apps and games run better and faster.

Android Developers

11,719 views • 1 month ago

The QVAC SDK puts the "brain" directly into your pocket. From real-time on-device translation to multimodal understanding, build apps that work everywhere, even 30,000 feet in the air. Local AI is here: 💡Offline-First: No cloud, no latency, no "Department of Truth". 💻 Universal API: One codebase for iOS, Android, macOS, and Linux. 🔍 Multimodal: Understanding text, audio, and images without a server. If you can dream it, you can build it. The era of Stable Intelligence has begun. Start building:
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The QVAC SDK puts the "brain" directly into your pocket. From real-time on-device translation to multimodal understanding, build apps that work everywhere, even 30,000 feet in the air. Local AI is here: 💡Offline-First: No cloud, no latency, no "Department of Truth". 💻 Universal API: One codebase for iOS, Android, macOS, and Linux. 🔍 Multimodal: Understanding text, audio, and images without a server. If you can dream it, you can build it. The era of Stable Intelligence has begun. Start building:

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36,433 views • 2 months ago

Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱
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Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱

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153,853 views • 10 months ago

The Android Show is back! Tune in on October 30 at 10AM PT for our Fall episode live from droidcon London. We'll unpack the latest Android dev news and show you demos of Gemini in Android Studio and more. Plus we’ve assembled the team for a live #AskAndroid on building excellent apps, across devices! Set a YouTube reminder →
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The Android Show is back! Tune in on October 30 at 10AM PT for our Fall episode live from droidcon London. We'll unpack the latest Android dev news and show you demos of Gemini in Android Studio and more. Plus we’ve assembled the team for a live #AskAndroid on building excellent apps, across devices! Set a YouTube reminder →

Android Developers

96,265 views • 8 months ago

openclaw for EVERYONE: introducing Andyclaw. openclaw rewritten in kotlin, made for ALL android devices. Now included on the dGEN1. and we've open sourced the repo for any android device, along with the rest of our dGEN1 app SDKs.
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61,183 views • 1 year ago

YOUR OLD ANDROID PHONE IS A FREE AI VISION SERVER AND YOU DON’T KNOW IT one dev built an app that turns any android into a local openai-compatible LLM server with vision support, analyzes camera feeds entirely on-device, no cloud, no subscriptions, nothing leaves your network you already own the hardware, it’s just sitting in a drawer full breakdown below ↓
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YOUR OLD ANDROID PHONE IS A FREE AI VISION SERVER AND YOU DON’T KNOW IT one dev built an app that turns any android into a local openai-compatible LLM server with vision support, analyzes camera feeds entirely on-device, no cloud, no subscriptions, nothing leaves your network you already own the hardware, it’s just sitting in a drawer full breakdown below ↓

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21,821 views • 26 days ago

You can now run Claude Code tasks from the Claude Android app, in research preview. Kick off cloud-based tasks from your phone, let Claude run, then pick them up later to review and merge work. Download Claude for Android:
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You can now run Claude Code tasks from the Claude Android app, in research preview. Kick off cloud-based tasks from your phone, let Claude run, then pick them up later to review and merge work. Download Claude for Android:

Claude

51,284 views • 7 months ago

Pour yourself into the future of tech at #GoogleIO. 🥤 Build for any device with Android, discover the latest in AI, embrace the evolving web, and explore the power of the cloud. Set a reminder →
0:20

Pour yourself into the future of tech at #GoogleIO. 🥤 Build for any device with Android, discover the latest in AI, embrace the evolving web, and explore the power of the cloud. Set a reminder →

Google for Developers

21,493 views • 1 year ago

"Agentic AI changes the role of the CPU. The CPU is now the conductor and the GPU is the orchestra". 🎼 NVIDIA Vera is the first CPU built for AI agents — purpose-built from the ground up for how AI works today. Faster. More efficient. Ready for what's next. 🔲 #NVIDIAGTC
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"Agentic AI changes the role of the CPU. The CPU is now the conductor and the GPU is the orchestra". 🎼 NVIDIA Vera is the first CPU built for AI agents — purpose-built from the ground up for how AI works today. Faster. More efficient. Ready for what's next. 🔲 #NVIDIAGTC

NVIDIA AI Infrastructure

15,062 views • 1 month ago

Ready to build the future of stable private on-device AI? 🧠 Our latest tutorial shows you how to build a sovereign mobile app in minutes using the QVAC SDK and Expo. Start from a blank template and deploy in minutes a local Llama 3.2 inference running directly on your own devices. What you’ll learn: Modular Setup: Use the QVAC CLI to tree-shake and keep your mobile bundle lean. Local-First Flow: Initialize the SDK, download weights, and run high-speed inference without a cloud uplink. Cross-Platform Power: See the smoke test in action on a physical Samsung S25. No rented clouds. No API keys. Build local, on-device, unstoppable intelligence in your pocket. Watch the full guide and start building:
5:37

Ready to build the future of stable private on-device AI? 🧠 Our latest tutorial shows you how to build a sovereign mobile app in minutes using the QVAC SDK and Expo. Start from a blank template and deploy in minutes a local Llama 3.2 inference running directly on your own devices. What you’ll learn: Modular Setup: Use the QVAC CLI to tree-shake and keep your mobile bundle lean. Local-First Flow: Initialize the SDK, download weights, and run high-speed inference without a cloud uplink. Cross-Platform Power: See the smoke test in action on a physical Samsung S25. No rented clouds. No API keys. Build local, on-device, unstoppable intelligence in your pocket. Watch the full guide and start building:

QVAC

4,080,718 views • 3 months ago

Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.
0:31

Sam Altman recently said: “GPT-OSS has strong real-world performance comparable to o4-mini—and you can run it locally on your phone.” Many believed running a 20B-parameter model on mobile devices was still years away. At Nexa AI, we’ve built our foundation on deep on-device AI technology—turning that vision into reality. Today, GPT-OSS is running fully local on mobile devices through our app, Nexa Studio. Real performance on Snapdragon Gen 5: - 17 tokens/sec decoding speed - < 3 seconds Time-to-First-Token Developers can now use NexaSDK to build their own local AI apps powered by GPT-OSS. What this unlocks: - Real reasoning models running locally - The next wave of AI Agent use cases—without cloud limits - True data privacy: your data never leaves your device Appreciation to OpenAI Sam Altman Greg Brockman and the entire leadership team for pushing the boundaries of the open-source AI community. Thanks to Qualcomm for the partnership, and to Manoj Khilnani and Chun-Po (Jerry) Chang for the incredible collaboration.

NEXA AI

197,453 views • 9 months ago