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PrismML ships a 1-bit vision-language model for Snapdragon smart glasses

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PrismML
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PrismML@PrismML
Thread · 3 parts

Today at Snapdragon Summit, we’re announcing 1-bit Bonsai vision-language model running locally on AI smart glasses powered by Snapdragon® AR1 Gen 1 Platform. With Qualcomm Technologies, we optimized Bonsai for Snapdragon Hexagon™ NPU, delivering 4x lower memory usage and 2x faster token generation for equivalent intelligence, making it possible to bring significantly more capable AI to run directly on highly constrained wearable devices. We believe model-hardware co-design will be critical to bringing increasingly capable AI from the cloud onto the devices people use every day.

Read the full announcement: https://t.co/hlqOFX7SSa

Proud to be working with @Qualcomm to bring increasingly capable AI directly onto highly constrained devices.

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Terms in this piece · Glossary
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
  • token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
Why it matters

PrismML's 1-bit Bonsai VLM runs locally on Snapdragon AR1 smart glasses with 4x lower memory and 2x faster generation than the prior version, showing what model-hardware co-design buys for constrained wearables.

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