dgx cloud
Nvidia unveils DGX Cloud platform and AI foundation models for generative AI training - SiliconANGLE
Nvidia Corp. wants to tell the world it's at the forefront of the generative artificial intelligence movement at a time when the hype over models such as ChatGPT reaches fever pitch. In particular, Nvidia is especially focused on making sure that anyone can access the infrastructure and software needed to train generative AI models. At its GTC 2023 today, the chipmaker unveiled a new AI supercomputing service to enable precisely that. It's called Nvidia DGX Cloud, and as the name suggests, it's a cloud-hosted version of its popular DGX platform, which has become the enterprise standard for AI training. In addition, the company announced a set of new cloud services under the banner of Nvidia AI Foundations, which can help companies use DGX Cloud to build, refine and operate customized large language and generative AI models trained on their own proprietary data, for unique, domain-specific tasks.
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NVIDIA's big AI moment is here
When NVIDIA's founder and CEO Jensen Huang waxed poetic about artificial intelligence in the past, it mostly felt like marketing bluster, the sort of lofty rhetoric we've come to expect from an executive with a never-ending supply of leather jackets. But this year, following the hype around OpenAI's ChatGPT, Microsoft's revamped Bing and a slew of other competitors, NVIDIA's AI push finally seems to be leading somewhere. The company's GTC (GPU Technology Conference) has always been a platform to promote its hardware for the AI world--now it's practically a celebration of how well-positioned NVIDIA is to take advantage of this moment. "We are at the iPhone moment for AI," Huang said during his GTC keynote this morning. He was quick to point out NVIDIA's role at the start of this AI wave: he personally brought a DGX AI supercomputer to OpenAI in 2016, hardware that was ultimately used to build ChatGPT.
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning > Generative AI (0.49)