Nvidia is taking an easy breath since it knows that stopping even for a minute can mean losing to competitors in the AI space. The leadership which it has gained after the success of ChatGPT by OpenAI is not foolproof. It needs to constantly innovate and be steadfast in solving the problems that exist in the AI hardware space. This is the reason it is once again gearing up to stay on top in the quantum computing space. Nvidia has announced its commitment to advancing quantum computing efforts globally. Leveraging the open-source Nvidia CUDA-Q platform, the company is collaborating with national supercomputing centers in Germany, Japan, and Poland. These centers will utilize the platform to power quantum processing units (QPUs) within their Nvidia-accelerated high-performance computing systems.
Key highlights:
- QPUs and Quantum Computing: QPUs are the brains of quantum computers, operating differently from traditional processors by leveraging the behavior of particles like electrons or photons. They have the potential to accelerate specific types of calculations.
- Supercomputing Sites: Germany’s Jülich Supercomputing Centre (JSC), Japan’s National Institute of Advanced Industrial Science and Technology (AIST), and Poland’s Poznan Supercomputing and Networking Center (PSNC) are integrating QPUs into their supercomputers.
- Nvidia Grace Hopper Superchips: Nine new supercomputers worldwide are now using Nvidia Grace Hopper Superchips, collectively delivering 200 exaflops (200 quintillion calculations per second) of energy-efficient AI processing power.
- Quantum Applications: Researchers at AIST will explore quantum applications in AI, energy, and biology using the QPU integrated with the ABCI-Q supercomputer.
- Cloud Quantum Computing: Nvidia has also launched the Nvidia Quantum Cloud, a cloud service for quantum computing simulations based on the CUDA-Q platform. It will be available on Google Cloud, Microsoft and Oracle Cloud Infrastructure.
In short, Nvidia’s Quantum Computer Centers, powered by the CUDA-Q platform, are collaborating with national supercomputing centers in Germany, Japan, and Poland. With the aim of bridging quantum computing and GPU supercomputing, these centers will integrate quantum processing units (QPUs) into their Nvidia-accelerated high-performance computing systems. This collaboration not only pushes the boundaries of scientific discovery but also enables researchers and developers to explore quantum computing in various domains, such as chemistry, biology, and materials science, through the recently launched cloud service. Researchers and developers can now explore quantum computing in domains such as chemistry, biology, and materials science through the newly launched cloud service.
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