Published on September 12, 2024
In AI Features

AMD Tries to Break NVIDIA’s CUDA Ecosystem with UDNA

Is AMD about to repeat the same mistake?

By Sagar Sharma

AMD has announced a significant shift in its GPU architecture strategy with the introduction of UDNA (Unified Data and Neural Architecture). This new architecture aims to merge AMD’s existing RDNA (for gaming) and CDNA (for data centres) architectures into a single, unified platform. However, users allege that AMD has been partial in providing support, and is more inclined to providing better support to CDNA. RDNA requires per-generation optimisation. Due to this reason, AMD has to put a lot more effort into RDNA users. Since RDNA has a smaller user base, very few developers are willing to put more effort into developing software, especially when the future market share is a mystery to them. This means that with the new UDNA approach, AMD can streamline development across all the GPU catalogues. It will probably rival NVIDIA Ada Lovelace architecture which is used in consumer, workstation and data centre GPUs. With UDNA, AMD is trying to do what NVIDIA has done with

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Sagar Sharma

A software engineer who loves to experiment with new-gen AI. He also happens to love testing hardware and sometimes they crash. While reviving his crashed system, you can find him reading literature, manga, or watering plants.