Build Simplified

Is the Radeon AI Pro R9700 the budget "Cheat Code" for AI? With 32GB of VRAM for ₹1.3 Lakhs, it challenges Nvidia's workstation monopoly. But does it actually work with ComfyUI, Flux, and Local LLMs without CUDA? In this comprehensive review, we test the R9700 using AMD's ROCm stack to see if it can replace a 4090 for Deep Learning and AI Art generation. ► PC Specs Used in this Review: (amazon links) GPU: AMD Radeon AI PRO R9700 (32GB GDDR6) CPU: AMD Ryzen 9 5900X (12-Core Beast) https://amzn.to/4pjhAxJ RAM: 64GB Patriot Viper DDR4 https://amzn.to/44GsqGE Case: Antec C3 ARGB https://amzn.to/3MNyxTs Software: ROCm 6.2, ComfyUI, LM Studio ► Get your AI Workstation Built by G-Rigs: [Your Website/WhatsApp Link] ► Follow Us: Instagram: @GRigsOfficial #RadeonAIPro #AMD #R9700 #AIWorkstation #ROCm #ComfyUI #LocalLLM #PCBuild #GRigs 0:00 - The "CUDA" Problem (Intro) 0:42 - Why 32GB VRAM Matters for AI 1:55 - The Card: Radeon AI Pro R9700 vs Gaming GPUs 2:40 - The Build: Ryzen 5900X + 64GB RAM Test Bench 3:05 - Test 1: Flux Dev Image Generation (VRAM Usage) 5:40 - The "Jet Engine" Fan Noise Test 6:30 - 4K Image Upscaling Speed 8:50 - Test 2: AI Video Generation (ComfyUI + WAN 2.2) 14:50 - Test 3: Local LLM (LM Studio Chatbot) 17:30 - Coding "Flappy Bird" with AI 19:00 - The Reality of ROCm vs CUDA (Honest Verdict) 22:15 - Can it Game? (R9700 vs 9070 XT) 23:00 - Conclusion: Should You Buy It?