A NVidia announced this Monday, during the annual GTC event, a series of products aimed at the new generation of artificial intelligence models. Known as Blackwell, this technology promises to improve the training and inference capacity of generative artificial intelligence. In such a way that several of them are developed by giants such as Google, Goal It is OpenAIwhich are at the forefront of multimodal models.
All this innovation is based on the platform Blackwellequipped with chips designed for the supercomputers of NVidia. In fact, it is the market leader in the development of processors for generative AI. Thus, according to the company, this technology offers four times greater training capacity than its predecessor. Furthermore, it has 30 times greater inference capacity and 25 times greater energy optimization compared to the previous generation.
Ian Buck, vice president of hyperscale and high performance computing at NVidiahighlighted that we are witnessing a new type of AI model, built by various artificial intelligences, such as ChatGPT 4 (OpenAI), Gemini (Google), NLLB (Meta) It is Mixtral (Mistral AI). These models demand increasingly more processing capacity to provide real-time responses, entering the universe of trillions of parameters.
Large technology companies are investing in more powerful structures to meet the growing demand for processing. This advancement in the technology industry, driven by generative artificial intelligence, together with the leadership of NVidia in hardware development, it has consolidated the company as one of the most valuable in the world.
Nvidia targets the industry
One of the perspectives of NVidia for the advancement of AI in 2024 is its application in industry, enhanced by multimodal models. The company has developed systems capable of learning from digital twin technology, which makes it possible to apply innovations in the physical world. The industrial digitalization platform NVidia Omniverse will offer five new applications to developers, facilitating the integration of technologies through APIs.
Source: Atrevida
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