GPUs

Inside the GPU: A Comprehensive Guide to Modern Graphics Architecture

Explore the modern GPU architecture, from transistor-level design and memory hierarchies to parallel compute models and real-world GPU workloads.

GPUs

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

Training large models on a single GPU is limited by memory constraints. Distributed training enables scalable training across multiple GPUs.

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 need

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