Nvidia launches some new AI-focused technologies, including the new GPU called H100 and Eos, which is considered the world's fastest AI supercomputer.
The chipmaker's new products clearly show that the use of artificial intelligence in various techs is improving.
Eos and H100 GPUs are expected to work together to meet the massive compute requirements of large language models, recommender systems, healthcare research, as well as climate science.
Nvidia's New AI-Focused Techs: Eos and H100 GPU
According to The Verge's latest report, the new artificial intelligence technologies of Nvidia were introduced during its annual GTC conference.
The giant chipmaker said that the new H100 GPU would use Hopper's new silicon architecture. On the other hand, the world's fastest AI supercomputer, Eos, is also being developed.
"AI has fundamentally changed what software can do and how it is produced. Companies revolutionizing their industries with AI realize the importance of their AI infrastructure," said Nvidia CEO Jensen Huang.
He added that their new DGX H100 systems are essential for enterprise AI factories. These new GPUs will help Nvidia refine data into the most valuable resource.
Now, what are Eos and H100 GPU?
Nvidia Eos, H100 GPU
Nvidia's official press release explained that the new Eos is the world's fastest supercomputer. This DGX SuperPOD uses the new AI architecture of the SoC developer, allowing Nvidia's researchers to explore the future of artificial intelligence further.
Right now, the tech manufacturer is still working on this new AI supercomputer. But, Eos is expected to be operational around the end of 2022. It will use the new H100 GPU.
Nvidia said that the new Eos AI computer would specifically feature 4,608 DGX H100 GPUs and 576 DGX H100 systems. If you want to see more details about Eos and H100, you can visit this link.
In other news, Nvidia's billion-dollar deal issue with ARM could affect thousands of employees. Meanwhile, security experts claimed that Nvidia hackers might have leaked 200GB of Vodafone source code.
For more news updates about Nvidia and its upcoming technologies, always keep your tabs open here at TechTimes.
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Written by: Griffin Davis
