Nvidia Adjusts Feynman Chip Design Due to TSMC Capacity Issues
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 14 hours ago
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Should l Buy NVDA?
Source: stocktwits
- Design Compromise: Nvidia plans to adjust the design of its Feynman AI chips, set to debut in 2028, due to insufficient capacity, which could lead to increased costs and supply constraints, thereby impacting future market competitiveness.
- Capacity Constraints: The collaboration with TSMC will see only the most critical components produced using the A16 process, while others will shift to the older N3P (3nm) node, potentially affecting chip performance and market delivery timelines.
- Market Pressure: Amid ongoing U.S.-Iran tensions, Nvidia's stock has fallen 6% over the past four sessions, indicating growing investor concerns about its future performance as sentiment shifts to neutral.
- Industry Impact: This situation underscores TSMC's pricing and strategic power in advanced manufacturing, which may lead to strong demand for suppliers tied to advanced manufacturing equipment and materials, further influencing the dynamics of the entire chip sector.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 172.700
Low
200.00
Averages
264.97
High
352.00
Current: 172.700
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms, and DGX Cloud computing services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
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