Uploaded July 2025 | Updated September 2026, 15 hours ago
At Computex 2025, tech vlogger Chris Stead spent some time with Qualcomm talking about the future of AI and its NPU Snapdragon Gen 2 plans. This video is part of the Qualcomm presentation, showing how it is hoping to change the best image enhancing software experience via the power of its NPU AI tech. Watch a GigaPixel Pro test and the image improvements it can achieve in real time.
Gigapixel Pro now supports Qualcomm’s Hexagon NPU on Windows devices powered by Snapdragon processors—specifically the Snapdragon X, X Plus, and X Elite series. This means it can run its AI upscaling models directly on the NPU, offloading work from the CPU and GPU for faster and more power-efficient performance.
What the Qualcomm NPU Brings to the Table:
• On-Device AI Inference: The Hexagon NPU is purpose-built for AI tasks like image enhancement, using scalar, vector, and tensor accelerators to mimic neural network operations.
• Low Power, High Speed: It delivers sustained AI performance with minimal power draw—ideal for laptops and tablets where battery life matters.
• Heterogeneous Computing: Gigapixel Pro taps into the NPU as part of Qualcomm’s broader AI Engine, which also includes the CPU and GPU. This allows the app to dynamically assign tasks to the most efficient processor.
• Optimised Builds: Topaz Labs released a special Windows build of Gigapixel Pro tailored for Qualcomm ARM CPUs and NPUs, ensuring compatibility and performance on Snapdragon-powered devices.
#ai #technews #qualcomm #snapdragon #npu
At Computex 2025, tech vlogger Chris Stead spent some time with Qualcomm talking about the future of AI and its NPU Snapdragon Gen 2 plans. This video is part of the Qualcomm presentation, showing how it is hoping to change the best image enhancing software experience via the power of its NPU AI tech. Watch a GigaPixel Pro test and the image improvements it can achieve in real time.
Gigapixel Pro now supports Qualcomm’s Hexagon NPU on Windows devices powered by Snapdragon processors—specifically the Snapdragon X, X Plus, and X Elite series. This means it can run its AI upscaling models directly on the NPU, offloading work from the CPU and GPU for faster and more power-efficient performance.
What the Qualcomm NPU Brings to the Table:
• On-Device AI Inference: The Hexagon NPU is purpose-built for AI tasks like image enhancement, using scalar, vector, and tensor accelerators to mimic neural network operations.
• Low Power, High Speed: It delivers sustained AI performance with minimal power draw—ideal for laptops and tablets where battery life matters.
• Heterogeneous Computing: Gigapixel Pro taps into the NPU as part of Qualcomm’s broader AI Engine, which also includes the CPU and GPU. This allows the app to dynamically assign tasks to the most efficient processor.
• Optimised Builds: Topaz Labs released a special Windows build of Gigapixel Pro tailored for Qualcomm ARM CPUs and NPUs, ensuring compatibility and performance on Snapdragon-powered devices.
#ai #technews #qualcomm #snapdragon #npu
