AMD’s Radeon RX 7900 XTX Outperforms NVIDIA’s GeForce RTX 4090 in DeepSeek’s AI Inference Tests: A Guide to Running R1 on Your Local AMD Setup

AMD has raised the bar with its Radeon RX 7900 XTX, delivering outstanding results as it outperforms NVIDIA’s GeForce RTX 4090 in the DeepSeek R1 AI model inference benchmarks.

AMD Aligns Swiftly with DeepSeek’s R1 LLM Models to Outshine the Competition

DeepSeek’s latest AI marvel has been making waves across the tech world, leaving everyone curious about the substantial computing power behind its training. But here’s some good news for everyday users: AMD’s "RDNA 3" Radeon RX 7900 XTX GPU packs a punch strong enough to handle the model’s demands. AMD has released this impressive data, revealing how their flagship RX 7000 series surpasses NVIDIA’s offering in multiple model benchmarks.

Many individuals have found that using consumer GPUs for AI tasks is quite effective, especially given that they provide impressive performance per dollar compared to typical AI accelerators. Running models on your own hardware not only enhances performance but also keeps privacy intact—a major concern with DeepSeek’s AI innovations. AMD has thoughtfully provided a detailed guide on running DeepSeek R1 distillations using their GPUs, as outlined below:

1. Ensure you’re equipped with the 25.1.1 Optional or a later version of the Adrenalin driver.
2. Head to lmstudio.ai/ryzenai to download LM Studio 0.3.8 or something newer.
3. Go through the LM Studio installation and bypass the onboarding screen.
4. Navigate to and select the discover tab.
5. Opt for your desired DeepSeek R1 Distill. For blazing quick performance, start with smaller distills like the Qwen 1.5B, though larger ones offer advanced reasoning abilities. Every option is highly competent.
6. On the right-hand side, pick the “Q4 K M” quantization and initiate the download.
7. After downloading, return to the chat tab, select your chosen DeepSeek R1 distill, and ensure “manually select parameters” is activated.
8. Slide the GPU offload layers to their maximum capacity.
9. Load the model.
10. Enjoy interacting with the reasoning model powered entirely by your local AMD hardware!

If you hit a snag while following these steps, AMD has got you covered with a YouTube tutorial that breaks down the process in detail. By running DeepSeek’s LLMs on your AMD setup, you can be confident that your data remains secure. Looking ahead, we anticipate even more robust inferencing possibilities with upcoming GPUs from both NVIDIA and AMD, as they are integrating specialized AI engines to elevate these capabilities dramatically.