Nvidia said that it is working with Google Quantum AI to design quantum computing AI processors. The quantum computing partnership with Google was part of a series of Nvidia announcements at the SC24 conference in Atlanta.
According to Nvidia, Google Quantum AI is using the Nvidia Cuda-Q platform to simulate designs. Google Quantum AI uses Cuda-Q, a hybrid quantum-classical computing platform and the Nvidia Eos supercomputer to simulate the physics of its quantum processors.
Hybrid quantum computing is moving to the forefront since there's the potential to solve complex commercial problems sooner. Specifically, Google Quantum AI generates simulations based on the 1,024 Nvidia H100 Tensor Core GPUs in the Nvidia Eos supercomputer.
The quantum partnership with Google was one of the main items outlined during Nvidia CEO Jensen Huang's keynote. Huang highlighted AI applications for science including drug discovery, climate forecasting and quantum computing.
"AI will accelerate scientific discovery, transforming industries and revolutionizing every one of the world’s $100 trillion markets," said Huang.
In addition, Nvidia said it is scaling production via a partnership with Foxconn. The company also announced the general availability of the Nvidia H200 NVL, a PCIe GPU based on the Nvidia Hopper architecture for low-power, air-cooled data centers.
Other Nvidia items at SC24 include:
- CorrDiff NIM and FourCastNet NIM, two new microservices for climate change modeling and simulation on the Earth-2 platform. The Earth-2 platform is a digital twin for simulating weather and climate conditions.
- cuPyNumeric library, which uses GPUs to accelerate NumPy for applications in data science, machine learning and numerical computing.
- Nvidia launched the Nvidia Omniverse Blueprint for real-time development of digital twins.
- Nvidia highlighted its open-source BioNeMo Framework, which is used for drug discovery. The company also launched DiffDock 2.0, which is a tool for predicting how drugs bind to target proteins.
- The company also highlighted the Nvidia Alchemi NIM microservice which couples generative AI to chemistry.
More on Nvidia:
- Softbank Corp. first to land Nvidia Blackwell systems in bid to be genAI provider in Japan
- Nvidia drops NVLM 1.0 LLM family, revving open-source AI
- Nvidia's uncanny knack for staying ahead
- Nvidia highlights algorithmic research as it moves to FP4
- Nvidia launches NIM Agent Blueprints aims for more turnkey genAI use cases
- Nvidia shows H200 systems generally available, highlights Blackwell MLPerf results
- Nvidia outlines roadmap including Rubin GPU platform, new Arm-based CPU Vera
