Today we're releasing AutoNeural-VL-1.5B — the world's first real-time multimodal model built for in-car AI. It runs fully local on the @Qualcomm SA8295P NPU with a software–hardware co-designed architecture, setting a new bar for speed and quality. AutoNeural redefines what AI

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Hyperlink for @Windows is now live on the @MicrosoftStore. Your computer already has all your context — it’s time to make it actually smart. Hyperlink is a private, on-device AI agent that can understand what’s in your computer files (docs, notes, PDFs, screenshots), answer in

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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

This week at Nexa AI — AutoNeural momentum and use cases, Apple ANE support on iOS & macOS, and new model support 1) AutoNeural-VL-1.5B, the first real-time multimodal model built for in-car AI, crossed 880k+ views and 3k+ likes at launch, with strong interest from automotive

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Most driving stress doesn’t come from steering. It comes from everything else in and around the car — kids and pets, street signs, missing items, everyday chaos. Today’s self-driving copilots can’t help with that. You need another pair of eyes that watches the cabin and the

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Introducing NexaSDK for iOS and MacOS, run and build with the latest multimodal AI models fully on-device, on @Apple Neural Engine, GPU, and CPU. This is the first and only SDK that enables developers to run the latest SOTA models on NPU across iPhones and Mac Laptops, achieving

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Self-driving is taking the work out of steering. But inside the cabin, everything is still manual: juggling messages, maps, and apps while trying to stay focused on the road. We think in-car AI should feel like “autopilot for the cabin.”The car should understand what’s happening

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Ministral-3-3B just got ~50% faster on @Qualcomm Hexagon NPU with the NexaML Turbo Engine — we’re now hitting 27+ tok/s fully on-device. NexaML is the only inference engine running this latest @MistralAI model natively on NPU. That means state-of-the-art small-model intelligence

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AutoNeural resonated more than we anticipated. Since launch, we crossed 870k views, 3k likes across platforms and saw strong interest from industry leaders, engineering teams, and automotive OEMs. The automotive industry has been waiting for production-grade multimodal AI in the

This week at Nexa AI: Nexa SDK for Linux launch, AutoNeural-VL launch for next-gen smart cockpit, Featured by Qualcomm blog and AMD talk, new model support⚡️ 1) @alexchen4ai, CEO and founder of Nexa AI was featured by @AMD, highlighting the impact of tighter PyTorch + ROCm

@Qualcomm @GeelyAutoGroup @GeelyAutoGlobal Thank you for the great collaboration. We’re excited to see how people push it in real production smart-cockpit experiences.

Thank you @AIatAMD for the feature. Seamless @PyTorch + ROCm compatibility isn’t just a tooling win - it lowers friction for researchers and accelerates deployment paths for builders. Openness, portability, and real performance gains are what move the ecosystem forward. We’re

AutoNeural is our latest cutting-edge multimodal model for in-car AI — and the response in the last 24 hours has been overwhelming. It’s the first real-time multimodal model for smart cockpits co-designed for Qualcomm SA8295P NPU. Developers can experience the future of in-car

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