Cadence Design Systems’ Senior VP and General Manager of Strategy and New Ventures, Nimish Modi, spoke at the Nvidia GTC conference in San Jose, California, about the strategic partnership between the two companies, and the potential benefits for those investing in AI. The partnership between Cadence and Nvidia aims to expand the application of generative AI in order to accelerate drug discovery and optimize energy efficiency in the design and operations of data centers. Cadence has been partnering with Nvidia for over a decade across a range of areas and tools, creating a “digital twin” of designs for engineers to simulate before committing to silicon. The extension of the collaboration between the two companies to data center digital twins and life sciences is expected to drive innovation and accelerate next-generation chip design, chip verification, system design, and simulation across multiple industries.
The AI Powerhouse Nvidia announced a slew of strategic partnerships at its GTC conference on Monday afternoon as it looks to scale AI development across industries. One of those partnerships is with software company Cadence Design Systems. Shares of Cadence rose following the news of the partnership.
Expanding the collaboration between Nvidia and Cadence
Modi expressed his excitement about the collaboration between Cadence and Nvidia in terms of AI technology and how it will expand AI’s footprint in the future. Using the power of high-performance compute and algorithms with molecular design platforms, the partnership aims to accelerate the drug discovery process by exploring, identifying, and obtaining high-quality compounds in a shorter amount of time. According to Modi, the collaboration will drive innovation and accelerate next-generation chip design, chip verification, system design, and simulation across multiple industries. Therefore, investors in AI are expected to benefit significantly from this partnership in the long run.
Optimizing energy efficiency in data center operations
Cadence and Nvidia’s partnership aims to integrate reality digital twin platforms with Nvidia’s Omniverse, thereby, optimizing energy efficiency in data center operations. Engineers can now simulate designs to ensure that they operate as intended before committing them to silicon, making the design process much more productive, with high performance and low power utilization. Through a combination of AI, high-performance computing, physics-based modeling, and improved data, energy efficiency can be improved by 30% through the use of the virtualized entire data center.
The Future of AI
Modi believes that AI is “creating a massive explosion of data, which is driving a massive demand for density and high-performance compute. As a result, a data center is expected to consume 3 to 4% of the global electricity.” With the partnership between Cadence and Nvidia, the possibilities for exploring new vistas and identifying high-quality compounds sooner are expected to accelerate the whole process significantly. Cadence’s cooperation with Nvidia is set to help realize designs more productively with higher performance and lower power and translate the potential that AI has to offer to the world.
Hot Take:
Cadence exec on Nvidia partnership and AI: “We are standing at the cusp of a revolution.”
Chip giant Nvidia, currently showcasing its latest semiconductor and AI products at its 2024 GTC event, has partnered with software company Cadence Design Systems to expand NVIDIA’s footprint in the field of AI. The partnership aims to accelerate the drug discovery process by exploring, identifying, and obtaining quality compounds in a shorter amount of time and optimizing energy efficiency in data center operations. Cadence’s cooperation with Nvidia is expected to drive innovation and accelerate next-generation chip design, chip verification, system design, and simulation across multiple industries. This unique confluence of AI, high-performance computing, and simulation is a unique moment that will be pervasive across all industries, paving the way for semiconductors to become synonymous with the rise of artificial intelligence.
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