Nvidia Partners with Thinking Machines for AI Development
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 10 2026
0mins
Source: Benzinga
- Deployment Commitment: Nvidia commits to deploying at least one gigawatt of next-generation Vera Rubin systems to power Thinking Machines' frontier model training and enterprise AI platforms, with deployment targeted for early next year, significantly enhancing AI application capabilities.
- Joint System Design: The agreement includes joint efforts to design training and serving systems for NVIDIA architectures, aiming to broaden access to frontier AI and open models for enterprises, research institutions, and the scientific community, thus promoting the widespread adoption of AI technology.
- Leadership Vision: Nvidia founder and CEO Jensen Huang stated that Thinking Machines has assembled a world-class team to advance the frontier of AI, indicating a strong mutual commitment to realizing an exciting vision for the future of AI.
- Company Background Pressure: Despite the promising partnership, Thinking Machines faces pressure due to a lack of clear product and business direction, with reports of employee resignations following a tense all-hands meeting, highlighting internal challenges and uncertainties.
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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: 196.930
Low
200.00
Averages
264.97
High
352.00
Current: 196.930
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
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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- Valuation Attractiveness: Given the rapid growth of Broadcom and Nvidia, using forward price-to-earnings ratios for valuation is crucial, and current stock prices present a great buying opportunity, especially as AI hyperscalers confirm their spending plans, which could act as a catalyst for stock price increases.
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