#gpu-acceleration tag

How Panopticus Uses AI to Detect Objects in 3D | HackerNoon

Panopticus improves omnidirectional 3D object detection using multi-branch models and optimized GPU-based execution.

fromInfoQ

Google Enhances LiteRT for Faster On-Device Inference

LiteRT simplifies on-device ML inference with enhanced GPU and NPU support for faster performance and lower power consumption.

Data science

Supercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon

Data science

How Panopticus Uses AI to Detect Objects in 3D | HackerNoon

Panopticus improves omnidirectional 3D object detection using multi-branch models and optimized GPU-based execution.

fromInfoQ

Google Enhances LiteRT for Faster On-Device Inference

LiteRT simplifies on-device ML inference with enhanced GPU and NPU support for faster performance and lower power consumption.

Data science

Supercharge ML: Your Guide to GPU-Accelerated cuML and XGBoost | HackerNoon

more#machine-learning

#nvidia

fromtowardsdatascience.com

Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning

Deep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.

Python

Achieve 100x Speedups in Graph Analytics Using Nx-cugraph | HackerNoon

fromtowardsdatascience.com

Breaking the Bottleneck: GPU-Optimised Video Processing for Deep Learning

Deep learning applications can improve performance by minimizing CPU-GPU transfer bottlenecks through GPU-accelerated video decoding.