GPUs

Inside the GPU: A Comprehensive Guide to Modern Graphics Architecture

In computing Graphics Processing Units GPUs have transcended their original role rendering simple polygons to become the workhorses behind realistic gaming worlds machine learning advancements and large scale scientific simulations

GPUs

Distributed Parallel Training: PyTorch Multi-GPU Setup in Kaggle T4x2

Training modern deep learning models often demands huge compute resources and time As datasets grow larger and model architecture scale up training on a single GPU is inefficient and time

GPUs, PyTorch, Training Neural Networks

FramePack: Video Diffusion, but feels like Image Diffusion

Ever watched an AI generated video and wondered how it was made Or perhaps dreamed of creating your own dynamic scenes only to be overwhelmed by the complexity or the

AI Art Generation, AI Research Papers, Artificial Intelligence, Computer Vision, Deep Learning, Diffusion Models, Generative AI, Generative Models, GPUs, GUI, Neural Network, PyTorch, Transformer Neural Networks, video diffusion, Vision Transformer

Performance Comparison of YOLO Object Detection Models – An Intensive Study

This article explains several performance comparison between different YOLO object detection models These include YOLOv5 YOLOv6 and YOLOv7

Deep Learning, GPUs, Object Detection, YOLO

GTC 2022 Big Bang AI announcements: Everything you need to know

GTC 22 has lots of new announcements with improvements across hardware software NVIDIA is driving several industries towards autonomy safety reliability

CUDA, GPUs, GTC, NVIDIA

Demystifying GPU Architectures For Deep Learning: Part 2

Do you want to understand modern GPU features like tensor cores structured sparsity and transformer engines If yes this post is for you We analyze 5 generations of NVIDIA GPUs

CUDA, Deep Learning, GPUs, NVIDIA