Tuesday, December 24, 2024

tk9.0: GoLang cross-platform GUI

 tk9_0 package - modernc.org/tk9.0 - Go Packages

The CGo-free, cross platform GUI toolkit for Go



AI HW: NPU vs GPU; TOPS


Efficiency: While GPUs are capable of handling many demanding tasks associated with AI, NPUs are purpose-built for these requests and can meet similar or even better performance benchmarks while requiring exponentially less power, a particularly valuable feature for battery-powered devices with finite capacity.

CPU vs GPU vs NPU: What's the difference? | CORSAIR

Neural Processing Units (NPUs)...are designed to efficiently handle matrix multiplication and addition, which is essential for artificial intelligence (AI) and machine learning (ML) workloads
such as image recognition, natural language processing, and machine learning."


TOPS quantifies an NPU's processing capabilities
by measuring the number of operations (additions, multiplies, etc.)
in trillions executed within a second.


An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator[1] or computer system[2][3] designed to accelerate artificial intelligence and machine learning applications

NPU uses less power and is far more efficient at AI tasks than a CPU or GPU.



micro "neural network" example, image detection with matrix multiplication


A specialized NPU does not take up much space on processor chips.