Zack Li-Nexa AI @zacklearner
Co-founder and CTO at Nexa AI, Industrial Veteran from Google & Amazon, and Stanford alumni. Committed to lifelong learning and advancing AI technology. Joined October 2021-
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Run llama3.2-3B on Snapdragon NPU with 2X performance vs others, in one line of code: sdk.nexa.ai/model/Llama3.2… nexa infer NexaAI/Llama3.2-3B-NPU-Turbo
Run llama3.2-3B on Snapdragon NPU with 2X performance vs others, in one line of code: sdk.nexa.ai/model/Llama3.2… nexa infer NexaAI/Llama3.2-3B-NPU-Turbo
Most teams trying to get their models onto NPUs today face the same roadblocks: ❌ Conversions have to be done case by case, with tons of manual work ❌ Support is usually limited to only a few model families (Llama, Qwen, etc.) That’s the pain point we set out to solve. With…
Most teams trying to get their models onto NPUs today face the same roadblocks: ❌ Conversions have to be done case by case, with tons of manual work ❌ Support is usually limited to only a few model families (Llama, Qwen, etc.) That’s the pain point we set out to solve. With…
We have successfully enabled multimodal (image) support for Gemma-3n in Nexa SDK — a highly requested capability that is currently not available in llama.cpp or Ollama so far, where Gemma-3n remains text-only. @GoogleDeepMind @Google #AI #Multimodal #Gemma3n #Innovation
We have successfully enabled multimodal (image) support for Gemma-3n in Nexa SDK — a highly requested capability that is currently not available in llama.cpp or Ollama so far, where Gemma-3n remains text-only. @GoogleDeepMind @Google #AI #Multimodal #Gemma3n #Innovation
Run SDXL image generation model in your laptop with one line of code, try Nexa SDK
Try Nexa SDK with latest Qwen model: github.com/NexaAI/nexa-sdk
Try Nexa SDK with latest Qwen model: github.com/NexaAI/nexa-sdk
🚀 We’ve launched OmniNeural — the world’s first multimodal AI model optimized for NPU. With Nexa SDK, devs can run NPU models in just 1 line of code. 🧵 1️⃣ AI Action Assistant Voice-driven control that actually does things: call, text, email — instantly, offline, and private.…
Apple’s Foundation Model report shows: - Qwen3-4B: 75.1 MMLU - AFM On-Device: 67.9 MMLU That’s the caliber we’ve now unlocked on Qualcomm NPU @Qualcomm @Snapdragon with the Qwen3-4B-2507 family. 🌟 Three powerhouse models: ✅ Qwen3-4B-Instruct-2507 — 62.0% GPQA | 47.4% AIME25 |…
Apple’s Foundation Model report shows: - Qwen3-4B: 75.1 MMLU - AFM On-Device: 67.9 MMLU That’s the caliber we’ve now unlocked on Qualcomm NPU @Qualcomm @Snapdragon with the Qwen3-4B-2507 family. 🌟 Three powerhouse models: ✅ Qwen3-4B-Instruct-2507 — 62.0% GPQA | 47.4% AIME25 |…
Yes, @elon @Qualcomm @Snapdragon I couldn’t agree more — at Nexa AI we’re making this future real. We train and deploy AI models to fit on-device, turning every phone into an intelligent edge node. 🚀
Yes, @elon @Qualcomm @Snapdragon I couldn’t agree more — at Nexa AI we’re making this future real. We train and deploy AI models to fit on-device, turning every phone into an intelligent edge node. 🚀 https://t.co/0mbMku1rOu
I truely believe in this vision. At Nexa AI, we build on-device model and inference framework that runs any model on any device, across any backend, see : sdk.nexa.ai
I truely believe in this vision. At Nexa AI, we build on-device model and inference framework that runs any model on any device, across any backend, see : sdk.nexa.ai
How fast can you get @Alibaba_Qwen's Qwen3-1.7B model running on @Snapdragon NPU with nexa-sdk? My speedrun: < 1 min 🚀 And yes—it also runs OmniNeural-4B, YOLOv12, PaddleOCR, and more. What’s your fastest run?
Check our NPU solution for automotives and IoT devices
Check our NPU solution for automotives and IoT devices
Try Nexa SDK for GPT-OSS: github.com/NexaAI/nexa-sdk
Try Nexa SDK for GPT-OSS: github.com/NexaAI/nexa-sdk
🚀 With Nexa ML, running CV & multimodal models on-device takes 1 line of code. Blazing-fast ⚡, power-efficient 🔋 inference on the Snapdragon X Elite NPU — while your CPU/GPU stay free for work & play (PowerPoint, video, gaming 🎮). 🎬 Demos: 📄 PaddleOCR → instant text…
Nexa SDK running LLM on Qualcomm RB3
📱Mobile Demo: On a @SamsungMobile S25 Ultra, the user takes a photo of a prescription and asks: “What’s listed here?” → “Set a reminder for me.” OmniNeural-4B sees the image, understands the voice, and sends the right command to the reminder app. ➡️ Running fully on the…
My friend Alex build @nexa_ai has been incredible to witness 👏 Today, they launched OmniNeural - a strong multimodal AI that runs on your phone's NPU. Real-time, private, blazing fast. Huge congrats to them! 🎉 #AI #Innovation #Startup
My friend Alex build @nexa_ai has been incredible to witness 👏 Today, they launched OmniNeural - a strong multimodal AI that runs on your phone's NPU. Real-time, private, blazing fast. Huge congrats to them! 🎉 #AI #Innovation #Startup
Almost every new PC, phone, car, and IoT device ships with an NPU built for AI. Yet most models remain GPU-first — leaving NPUs idle while on-device AI burns battery, lags, and struggles to multitask. Hardware evolved. Software didn’t. That’s why we built OmniNeural-4B + nexaML:…
Almost every new PC, phone, car, and IoT device ships with an NPU built for AI. Yet most models remain GPU-first — leaving NPUs idle while on-device AI burns battery, lags, and struggles to multitask. Hardware evolved. Software didn’t. That’s why we built OmniNeural-4B + nexaML:…
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