NVIDIA invests $2 billion in Synopsys to accelerate GPU and AI integration engineering research and development.

NVIDIA ( and electronic design automation giant Synopsys ) announced an expanded strategic partnership on December 1st. The two companies will integrate GPU-accelerated computing, AI, physical simulation, and digital twin technology into the engineering field to assist industries such as semiconductors, aerospace, automotive, and industrial in accelerating their R&D processes. NVIDIA also invested $2 billion in Synopsys by purchasing common stock at $414.79 per share. Both parties stated that this collaboration will enable engineering teams to complete design, simulation, and verification tasks faster, more accurately, and at a lower cost.

$2 billion invested in Synopsys to expand cooperation and accelerate AI innovation

NVIDIA stated that modern R&D teams generally face challenges such as more complex processes, rising costs, and increased pressure on product time-to-market. This collaboration will combine its own AI and accelerated computing with Synopsys' engineering applications to help various industries accelerate design and simulation efficiency. At the same time, NVIDIA also purchased $2 billion worth of Synopsys common stock as part of the collaboration.

NVIDIA CEO Jensen Huang stated that CUDA GPU-accelerated computing is changing engineering simulations at an unprecedented speed and scale, expanding from atoms and transistors to complete systems, and even enabling the creation of functional digital twins within computers. He pointed out that collaboration with Synopsys will assist engineers in leveraging accelerated computing and AI to create the next generation of innovative products.

What is the main business of New Thinking Technology?

New Idea Technology mainly provides two core businesses: electronic design automation (EDA) software and silicon intellectual property (IP). EDA tools assist engineers in completing chip design and verification. IP products provide ready-to-use chip design modules, accelerating the development of SoC and various devices.

The picture is a concept diagram of SoC.

Its products are widely used in mobile phones, automobiles, cloud computing, and the Internet of Things. Synopsys's operational structure is divided into three parts:

Semiconductor and System Design Department: Includes EDA, IP, and system integration, which are the main revenue drivers.

Software Integrity Division: Provides software security and compliance testing tools.

Other services: serving academic and research institutions.

Therefore, New Thinking Technology is an electronic design automation company focused on chip design automation, IP solutions, and software security.

( Note: SoC, also known as System on Chip, primarily compresses all necessary components of a system onto a single silicon chip. This allows for simpler circuit boards, smaller sizes, while improving performance, reducing power consumption, and not sacrificing original functionality. Components within the SoC can include data processors, embedded memory, or GPUs, etc. )

Technical program launched to accelerate the comprehensive layout of application and proxy-based AI.

Sassine Ghazi, CEO of Synopsys, stated that the design complexity and development costs required to build the next generation of intelligent systems must rely on the deep integration of electronics and physics, and accelerate the process through AI and powerful computing capabilities. He believes that the collaboration between Synopsys and NVIDIA is the best combination for building AI-driven comprehensive design tools.

Both parties have also simultaneously launched multiple cross-year technical collaborations, including the application of NVIDIA CUDA-X and AI physical simulations to comprehensively enhance the performance of Synopsys's chip design, physical verification, molecular and optical simulation tools. Additionally, they will integrate Synopsys AgentEngineer with NVIDIA NIM, NeMo, and Nemotron to advance the agent-based AI design process.

At the same time, the two companies will establish highly precise cross-industry digital twin models through Omniverse and Cosmos, and provide GPU-supported cloud version tools, enabling teams of different sizes to use accelerated engineering solutions in the cloud.

( Note: NVIDIA NIM is used to deploy and execute inference microservices for AI models, while NeMo is NVIDIA's generative AI tool framework for developing and fine-tuning LLMs. Nemotron is NVIDIA's own large generative AI model series that can be used directly. NeMo is used for the model, Nemotron is the model itself, and NIM is responsible for deploying the model to make it operational. )

Promote the market together and maintain openness in collaboration with the entire industry.

NVIDIA and Synopsys will simultaneously launch a joint marketing program to leverage Synopsys's global sales network to help expand the market reach of enterprise software and cloud engineering solutions, while continuing to support the integration of Omniverse simulation tools.

The two companies emphasize that this cooperation is not exclusive, and they will continue to collaborate with EDA and other partners in the semiconductor ecosystem to jointly promote the next stage of engineering design development.

This article reports that Nvidia invested $2 billion in Synopsys to accelerate the development of GPU and AI integration projects, first appearing on ChainNews ABMedia.