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NVIDIA Invests $2 Billion in Synopsys for GPU-Powered Solutions, Stock Surges 9%

The investment highlights a strategic partnership aimed at advancing GPU-accelerated engineering and...
Key Metrics

45.61

Heat Index
  • Impact Level
    Medium
  • Scope Level
    National
  • Last Update
    2025-12-01
Key Impacts
Positive Impacts (12)
Electronic Design Automation (EDA) Sector
Synopsys Inc. (SNPS)
NVIDIA Corp. (NVDA)
GPU Supply Chain – High-Bandwidth Memory (HBM) Vendors (e.g., Micron, SK Hynix)
Taiwan Semiconductor Manufacturing Co. (TSMC)
Semiconductor Equipment Makers (e.g., ASML, Applied Materials)
Total impacts: 13 | Positive: 12 | Negative: 0
Event Overview

The investment highlights a strategic partnership aimed at advancing GPU-accelerated engineering and digital twin technologies. The collaboration underscores the growing importance of high-precision virtual design and testing across multiple industries, driving innovation and efficiency.

Collect Records
NVIDIA Invests $2 Billion in Synopsys for GPU-Powered Solutions
2025-12-01 21:04

NVIDIA has invested $2 billion in Synopsys at $414.79 per share to accelerate GPU-powered engineering solutions. The companies will collaborate on engineering and marketing, focusing on high-precision digital twins for virtual design, testing, and validation across various industries, including semiconductors, robotics, aerospace, automotive, energy, industrial, and medical. They will leverage NVIDIA Omniverse, NVIDIA Cosmos, and other technologies, building on their existing AI collaboration. Additionally, they are integrating Synopsys AgentEngineer™ with NVIDIA's AI stack, including NIM microservices, NeMo agent toolkit, and Nemotron models, to enable autonomous design in EDA, simulation, and analysis workflows.

NVIDIA Invests $2 Billion in Synopsys, Stock Rises Over 9%
2025-12-01 21:04

NVIDIA invested $2 billion to purchase Synopsys stock at a price of $414.79 per share, leading to a more than 9% increase in Synopsys' pre-market stock price. The two companies will collaborate on GPU-accelerated engineering solutions, marketing, and high-precision digital twin technology, with applications across various industries such as semiconductors, robotics, aerospace, automotive, energy, industrial, and medical.

Total records: 2
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