AMD Radeon R9700 AI PRO 32GB — для нейросетей? Тест против RTX 4500 Blackwell

A detailed review of the AMD Radeon AI PRO R9700 AI TOP 32GB—a professional graphics card for working with artificial intelligence and running neural networks locally. This solution was initially positioned as an AI accelerator. The card's name indicates "AI TOP," and we'll test how true this is. We'll test running local neural networks: text models (LLM) via llama.cpp, image generation in ComfyUI, and even video generation. We'll also see how the graphics card handles inference and whether 32 GB of video memory is sufficient for modern models. We'll also discuss the RDNA 4 architecture, HIP SDK and ROCm support on Linux, compatibility with AI frameworks, and practical use in production scenarios. Since this is a professional graphics card (similar to NVIDIA Quadro), we'll also test it in video editing tasks, such as encoding and exporting H264 video in Adobe Premiere Pro. And the most interesting thing is the comparison with the competitor: the RTX 4500 Blackwell 32GB. Same memory capacity, different architecture. Which is faster in neural networks? Which is more efficient in workloads? AMD or NVIDIA? 00:00 Introduction 00:38 Package Contents 02:24 R9700 and RX9070XT are the same card 03:38 RTX PRO 4500 Blackwell Competitor 04:10 TFLOPS Comparison with Radeon W7900 04:40 About the Software Stack 05:49 About RDNA and CDNA 06:52 GLM 4.7 Flash Q4_K_M 30B 07:37 Devstral Small 2 Q4_K_M 24B 08:45 Qwen Image 2512 09:45 Z-Image-Turbo 10:30 Wan 2.2 14:00 Premiere Pro AMD VCN Video Encoding 15:50 Blender (sad) 18:52 Battelfield 6 20:32 Conclusions Our Cart - https://clck.ru/3RoQDu ServerFlow Blog - https://serverflow.ru/blog/ ROCm Installation - https://clck.ru/3S9E8g About Qwen Image - https://clck.ru/3S9Eaw