GPU-AI-Performance-Research

🚀 Enhancing Machine Learning Performance: The Role of GPU-Based AI Compute Architectures

📌 Repository Link:

GPU-AI-Performance-Research

🎯 Project Overview

A futuristic and interactive website built for the case study "Enhancing Machine Learning Performance: The Role of GPU-Based AI Compute Architectures" by Manan Vyas (B.Tech IT, Indus University, IU2341220158).

🌐 Tech Stack

• HTML5
• CSS3
• JavaScript
• Tailwind CSS
• GSAP (Animation)
• Framer Motion (Optional for smooth effects)

🔥 Website Features

• GPU Circuit Background Animation
• Smooth Scrolling with Parallax Effect
• Real-Time Data Graph Animation
• Light/Dark Mode Switch
• Animated Cards for Technologies
• Author Hover Animation

🛠️ Website Structure

1. Hero Section: Bold Title, Subtext, Animated GPU, and CTA Button
2. Abstract Section: Smooth scroll with key highlights
3. Technologies Covered Section: Deep Learning, CUDA, GPU Parallelism
4. Core Highlights: Performance Graphs & Data Visualization
5. Author Information Section: Contact details with hover effect
6. Conclusion Section: Future Scope of GPU Architecture in AI

✅ Output

A modern, responsive, and fully animated landing page reflecting high-end GPU technology & AI performance architecture.

📌 Footer

© 2025 Manan Vyas | All Rights Reserved

🎯 Clone the Repo and Run Locally

git clone https://github.com/MananVyas01/GPU-AI-Performance-Research.git
cd GPU-AI-Performance-Research
open index.html

💻 Happy Coding! 🚀