【英伟达新一代AI芯片H200正式供货，性能飙升60%-90%】据日本经济新闻最新报道，全球知名图形处理器制造商英伟达（Nvidia）的最新人工智能（AI）专用芯片H200已开始供货。这款被誉为尖端图像处理半导体的H200，相较于其前代产品H100，性能表现大幅提升，提升幅度在60%至90%之间，进一步巩固了英伟达在AI计算领域的领先地位。
据英伟达官方发布的测试数据，以Meta公司的大型语言模型Llama 2为例，H200在处理生成式AI任务时，导出答案的速度最高可提升45%。这一显著提升对于推动AI技术在各个领域的应用，尤其是大数据分析、机器学习和自然语言处理等方面，具有重大意义。
H200的推出，标志着英伟达在GPU技术上的又一次重大突破，将为AI研究人员和开发者提供更强大的计算工具，加速AI技术的研发和应用进程。随着H200的供货，预计全球范围内的科技公司和研究机构将争相采用这一新芯片，以提升其AI系统的性能和效率。这不仅将影响到数据中心和云计算领域，还将对自动驾驶、医疗诊断、金融分析等多个行业产生深远影响。
英语如下：
**News Title:** “Nvidia Unveils Groundbreaking H200 AI Chip: 60%-90% Performance Boost, Pioneering a New Era in AI Processing”
**Keywords:** Nvidia H200, AI chip enhancement, GPU supply
**News Content:** **Nvidia’s Next-Gen AI Chip H200 Officially Supplies, Delivering a 60%-90% Performance Surge** According to the latest report from the Nikkei, renowned graphics processing unit (GPU) manufacturer Nvidia has commenced the supply of its newest artificial intelligence (AI) specialized chip, the H200. This cutting-edge image processing semiconductor, succeeding the H100, exhibits a substantial performance improvement of 60% to 90%, solidifying Nvidia’s dominance in the AI computing arena.
As per Nvidia’s official test data, when handling generative AI tasks with Meta’s large language model Llama 2, the H200 can increase the speed of delivering responses by up to 45%. This substantial boost holds significant implications for the advancement of AI applications across various sectors, particularly in big data analysis, machine learning, and natural language processing.
The launch of the H200 signifies another major breakthrough in GPU technology for Nvidia, offering AI researchers and developers more powerful computational tools to expedite AI research and application development. With the availability of the H200, it is anticipated that tech companies and research institutions worldwide will eagerly adopt this new chip to enhance the performance and efficiency of their AI systems. This development is poised to impact not only data centers and cloud computing but also have far-reaching consequences for industries such as autonomous driving, medical diagnosis, and financial analysis.
【来源】https://www.ithome.com/0/758/777.htm
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