Synopsys, Inc. (NASDAQ: SNPS) shares are trading lower Thursday despite strong fourth-quarter earnings. Synopsys shares are experiencing downward pressure. Why is SNPS stock trading lower? What To ...

While Alphabet has stolen some of Nvidia’s thunder in the artificial-intelligence conversation lately, the chip giant still seems to have the power to create winners in the stock market. Case in point ...

Synopsys (SNPS) stock ought to be on your radar. Here is why – it is presently trading in the support realm ($416.38 – $460.20), levels from which it has bounced significantly before. Over the past 10 ...

Nvidia has invested US$2 billion in chip design software maker Synopsys as part of an expanded multi-year tie-up to jointly develop new tools for designing products across industries using its AI ...

Nvidia Corp. invested $2 billion in chip-design software maker Synopsys Inc. as part of a broader engineering and design tie-up, aiming to infuse its AI-computing technology into more industries.

Nvidia's flurry of investments has raised concerns that it is paying customers to buy its chips Nvidia has invested US$2 billion in chip design software maker Synopsys as part of an expanded ...

The effort will target workloads such as chip design and verification, molecular simulations and electromagnetic analysis. Credit: Sundry Photography/Shutterstock.com ...

Two major players in the global chip industry, both with Austin footprints, are deepening their partnership as demand for artificial intelligence technology continues to surge. Nvidia Corp., the world ...

Nvidia’s investment in a UALink board member follows a similar move with Intel, raising concerns about the GPU giant’s influence over alternatives to its proprietary NVLink interconnect. Nvidia ...

Nvidia's US$2 billion investment in Synopsys marks a pivotal attempt to extend CUDA and GPU-accelerated computing from AI training into the core of industrial and semiconductor engineering, tightening ...

Nvidia has bought Synopsys shares worth $2bn as part of a collaboration in CUDA accelerated computing, agentic and physical AI, and Omniverse digital twins. “R&D teams face engineering challenges ...