Taking on CUDA with ROCm: 'One Step After Another' (www.eetimes.com)

AMD is making significant strides with its open-source AI software stack, ROCm, as it seeks to compete directly with Nvidia's dominant CUDA platform. Anush Elangovan, AMD's VP of AI software and former co-founder of Nod.ai, emphasized the importance of consistent improvements and community engagement in developing ROCm. Over the past two and a half years, the ROCm team has been focused on creating a unified AI stack, known as OneROCm, allowing seamless portability across various AMD hardware. This shift aligns with the industry's growing trend of using higher-level frameworks like OpenAI’s Triton, which simplifies GPU programming and reduces reliance on specific hardware. The significance of ROCm for the AI/ML community lies in its open-source nature, enabling rapid innovation and responsiveness to user needs. AMD's investment in community engagement has led to improved developer resources and immediate support for issues that arise, fostering a more positive perception of the platform. As ROCm continues to evolve with a goal of matching the ease of use demonstrated by Google Chrome, AMD aims to establish itself as a legitimate competitor in the data center GPU market, particularly as it gears up for future hardware launches.