👉 The VNeF (Vulkan Neural Flow Execution) fluid is a novel approach to neural network inference in Vulkan, designed to optimize the performance and efficiency of running neural networks directly on the GPU. Unlike traditional methods that often require offloading computations to a CPU or using specialized hardware like TPUs, the VNeF fluid dynamically manages the execution of neural network layers by adapting to the specific hardware and workload characteristics. It achieves this by creating a flexible, adaptive execution graph that can switch between different computational strategies (e.g., tensor cores, general-purpose cores) in real-time, minimizing latency and maximizing throughput. This fluid execution model enables more efficient utilization of the GPU's resources, making it particularly advantageous for real-time applications and scenarios where low latency and high throughput are critical.
