At the GTC conference in Washington, D.C., today, Nvidia (NVDA) CEO Jensen Huang announced a series of blockbuster deals, with companies such as Uber (UBER), Palantir (PLTR), and Nokia (NOK) that span supercomputing, robotics, telecom, and autonomous vehicles. These reflect Nvidia’s growing role as a central force in powering AI infrastructure across industries and government.
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Palantir Deal to Power Enterprise AI
Nvidia has partnered with Palantir to build an integrated AI stack for enterprise and government systems. PLTR will integrate Nvidia’s accelerated computing, CUDA-X libraries, and open-source Nemotron models into its Ontology framework, the core of PLTR’s AI Platform (AIP).
The goal is to deliver context-aware, operational AI agents that can automate complex workflows across industries, such as logistics, defense, finance, and healthcare.
Retailer Lowe’s (LOW) is the first major user of this new platform, aiming to improve its supply chain capabilities.
Uber Partnership to Scale Global Robotaxi Network
In the autonomous vehicle space, Nvidia has teamed with Uber to support the global rollout of robotaxis. Uber plans to deploy 100,000 autonomous vehicles starting in 2027, all powered by Nvidia’s DRIVE AGX Hyperion 10 platform.
The companies will also build a joint AI data factory using Nvidia’s Cosmos platform to train autonomous driving systems.
Importantly, several automakers, such as Stellantis (STLA), Lucid (LCID), and Mercedes-Benz (MBGAF), will build Level 4 autonomous vehicles for Uber’s network. Nvidia also launched the Halos Certified Program, the industry’s first system to evaluate and certify level 4 autonomous vehicles.
Other Major Announcements
Earlier in the day, Nvidia also disclosed a deal with the U.S. Department of Energy to develop seven new artificial intelligence (AI) supercomputers. Further, the company said it is making a $1 billion investment in the telecommunications company Nokia, acquiring a 2.9% stake. The companies will partner to develop AI-powered 6G networks, combining Nvidia’s technology into Nokia’s RAN products.
When talking about the “Made in America” push, Huang said that NVDA’s Blackwell AI chips are now in full production in Arizona, with assembly also taking place in the U.S.
On the quantum front, Nvidia revealed NVQLink, an open system architecture to connect quantum computers with its AI chips. The technology aims to accelerate a new generation of supercomputers and reduce quantum computing errors.
What Is the Target Price for Nvidia Stock?
On TipRanks, NVDA stock has received a Strong Buy consensus rating, with 35 Buys, one Hold, and one Sell assigned in the last three months. The average Nvidia stock price target is $225, suggesting an upside potential of 12.49% from the current level.
