AMD的首席技术官（CTO）兼执行副总裁Mark Papermaster在最近参加的《史无前例：人工智能、机器学习、技术与初创企业》播客节目中表示，随着AI推理芯片需求的急剧增长，GPU的供应短缺问题有望得到缓解。Papermaster指出，AMD正积极应对这一市场变化，将重点放在提高芯片能效上，他认为这是当前芯片行业发展的关键限制因素。
Papermaster透露，AMD正在不断推进GPU技术的研发，以满足不断扩大的AI市场对高性能计算的需求。他强调，推理芯片的部署位置以及配套的软件栈优化对于提升整体系统性能至关重要。AMD正致力于打造一个全面的解决方案，不仅包括硬件，还有与之配套的高效软件，以确保客户能在数据中心、云计算平台以及边缘计算环境中获得最佳性能。
展望2024年，Papermaster认为投资者可以期待AMD在芯片供应稳定性、能效提升和技术创新方面取得显著进展。随着AMD的战略布局逐步实施，公司有望在日益竞争激烈的半导体市场中占据更重要的地位。AMD的持续努力，不仅将有助于解决当前GPU供应紧张的问题，也将推动人工智能和机器学习领域的发展，为未来的科技应用打开新的可能。
英语如下：
News Title: “AMD CTO Reveals: Soaring Demand for AI Inference Chips, GPU Shortages to Improve by 2024”
Keywords: AMD CTO, GPU Supply, AI Inference Chips
News Content: During a recent podcast episode titled “Unprecedented: Artificial Intelligence, Machine Learning, Tech, and Startups,” Dr. Mark Papermaster, AMD’s Chief Technology Officer (CTO) and Executive Vice President, stated that the rising demand for AI inference chips is expected to alleviate the GPU supply shortage. Papermaster highlighted that AMD is actively addressing this market shift by focusing on enhancing chip efficiency, which he identifies as a key limiting factor in the current semiconductor industry.
Papermaster disclosed that AMD is continuously advancing GPU technology to cater to the growing need for high-performance computing in the AI market. He emphasized the significance of the deployment location of inference chips and the optimization of accompanying software stacks for improving overall system performance. AMD is working on developing a comprehensive solution encompassing both hardware and efficient software to ensure optimal performance in data centers, cloud computing platforms, and edge computing environments.
Looking ahead to 2024, Papermaster anticipates substantial progress in AMD’s chip supply stability, efficiency improvements, and technological innovation. As AMD’s strategic initiatives unfold, the company is poised to assume a more prominent position in the increasingly competitive semiconductor market. AMD’s sustained efforts will not only contribute to resolving the current GPU supply constraints but also drive advancements in the fields of artificial intelligence and machine learning, opening up new possibilities for future technological applications.
【来源】https://wallstreetcn.com/articles/3709499
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