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OwLite Meets Qualcomm Neural Network: Unlocking On-Device AI Performance

OwLite Meets Qualcomm Neural Network: Unlocking On-Device AI Performance

At SqueezeBits we have been empowering developers to efficiently deploy complex AI models while minimizing performance trade-offs with OwLite toolkit. With OwLite v2.5, we're excited to announce official support for Qualcomm Neural Network (QNN) through seamless integration with Qualcomm AI Hub.
Eunik Park's avatar
Jul 03, 2025
ProductOwLite
OwLite: No More Compromising on AI Performance After Quantization

OwLite: No More Compromising on AI Performance After Quantization

Discover how OwLite simplifies AI model optimization with seamless integration and secure architecture.
Seungryeol Kim's avatar
Apr 11, 2025
ProductOwLite
When Should I Use Fits on Chips?

When Should I Use Fits on Chips?

This article describes when to use Fits on Chips toolkit with specific use cases.
Daehyun Ahn's avatar
Mar 10, 2025
TechProductFits on Chips
Fits on Chips: Saving LLM Costs Became Easier Than Ever

Fits on Chips: Saving LLM Costs Became Easier Than Ever

This article introduces Fits on Chips, an LLMOps toolkit for performance evaluation.
Seungryeol Kim's avatar
Feb 26, 2025
ProductFits on Chips

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