At the ISC High Performance 2024 conference in Hamburg, Nvidia unveiled its latest technological advancements in supercomputing and quantum computing. Nvidia’s GH200 Grace Hopper superchips have been implemented in nine supercomputers globally, leveraging accelerated computing and generative AI for scientific research, including drug discovery, climate change, and nuclear fusion energy.
Nvidia’s Grace Hopper GH200 superchip combines the HGX H200 GPU with Hopper architecture and an Nvidia Grace CPU to deliver 200 exaflops of AI performance, representing a significant leap forward in computational power. This cutting-edge technology enables researchers to tap into unprecedented computing power to advance various fields of study and innovation worldwide.
Furthermore, three high-performance computers in Germany, Japan, and Poland have adopted Nvidia’s open-source hybrid computing platform, CUDA-Q, for classical-quantum computing tasks. This development underscores the company’s commitment to pushing the boundaries of scientific research and computational capabilities through advanced technologies. By integrating supercomputers with Grace Hopper superchips and CUDA-Q platform, researchers can leverage the power of cutting-edge technologies to drive innovation and discoveries across multiple industries.
In conclusion, Nvidia’s technological advancements in supercomputing and quantum computing are transforming scientific research by enabling researchers to harness unprecedented computing power. By leveraging accelerated computing and generative AI for scientific research and integrating supercomputers with cutting-edge technologies such as Grace Hopper GH200 superchip and CUDA-Q platform, researchers can unlock new possibilities for innovation worldwide.
+ There are no comments
Add yours