Shared services provider TransForm has released an update on a cyberattack that recently affected several hospitals in Ontario, Canada, clarifying that it was a ransomware attack.
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Taking a giant leap forward in artificial intelligence and computing, Nvidia unveiled the H200 GPU, ushering in a new era in generative AI.
The debut of the H200 comes at a time when the world has seen unprecedented growth in the capabilities and capabilities of artificial intelligence, pushing the boundaries of what machines can learn, use and achieve. With advanced features and capabilities, the H200 is a testament to Nvidia’s commitment to pushing the boundaries of AI technology. Its impact extends beyond machine learning and artificial intelligence, poised to redefine the landscape of computing power and efficiency in a rapidly growing and evolving digital world.
This state-of-the-art GPU is an improved version of its predecessor, the H100, which played a key role in training advanced large language models such as OpenAI, GPT-4, Midjourney, and more.
The use of the H200 GPU is a catalyst for the growing AI industry, meeting the growing needs of large companies, startups, and government agencies alike.
Moving to the H200 means a significant upgrade in terms of power, efficiency and capabilities. One of the H200’s standout improvements is the presence of 141GB of next-generation HBM3 memory, designed to boost the chip’s performance in output tasks. Inference, the stage at which a trained model generates text, images, or predictions, is critical to the practical application of AI, and the H200’s achievements more than meet that need.
The importance of such development cannot be underestimated. As artificial intelligence models become increasingly complex and require large amounts of data, the demand for more powerful and efficient graphics processors has increased dramatically.
The technical prowess of the H200 and the implications for the AI sector are on another level altogether. Nvidia is not only responding to current demands, but also shaping the future of artificial intelligence development.
Can we do that? Of course we can, but for this we need digitization not on paper, but in our minds, so that the country not only takes action for six trillion dollars, but also promotes the development of similar high-tech businesses at the state level. We are not a “scoop”, the era of factories and steamships has passed, it is time to move to a new level, and we have all the necessary prerequisites for this.
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