NVIDIA Corp NASDAQ:NVDA Price, Chart, News & Insight

NVIDIA Launches Isaac ROS 5.0 With Agentic AI Tools for Robotics Development

NVIDIA released Isaac ROS 5.0, expanding its open-source robotics platform with new agentic AI capabilities designed to help developers build, customize and deploy robotics applications faster.

The release adds support for ROS Lyrical and Ubuntu 24.04 while introducing reusable AI-agent skills for setup, manipulation and perception tasks. NVIDIA said new agent-ready documentation and workflows can help AI agents translate developer intent into working robotics applications more efficiently.

One of the key upgrades is FoundationPose, which now includes an agent-ready inference library that can track object position and orientation up to 5.5 times faster. NVIDIA also added a standalone pick-and-place skill combining detection, depth estimation and pose output for robotics developers.

The broader ecosystem is also expanding. RealSense, Intrinsic, Magna, Flexiv, Universal Robots, Mentee Robotics and others are using Isaac ROS across applications ranging from industrial automation and machine tending to humanoid robotics and autonomous manipulation.

Isaac ROS 5.0 supports hardware ranging from Jetson Orin Nano to Jetson Thor, allowing developers to move from development to on-device deployment as robotics workloads grow more complex. The software is available now as a free and open-source release.

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Global Finance News 09-22-26

NVIDIA Launches DSX Ready Program for AI Factory Power and Cooling Systems

NVIDIA introduced DSX Ready, a new qualification program designed to help AI factory builders identify power, cooling and infrastructure products that meet applicable NVIDIA DSX reference-design requirements.

The program launches with two initial categories: battery energy storage systems and cooling distribution units. Qualified BESS products include solutions from Hitachi Energy, LG Energy Solution and Tesla, while qualified CDU providers include LG Electronics, LiquidStack and Vertiv.

DSX Ready is intended to reduce integration risk as AI data centers face increasingly tight power, cooling, water and grid constraints. NVIDIA said the broader DSX platform is designed to treat compute, networking, power, cooling, facilities and software as a single coordinated system rather than separate infrastructure layers.

For battery systems, suppliers complete qualification testing and submit supporting data for NVIDIA review. Cooling providers use a self-qualification suite to determine whether specific CDU products meet NVIDIA’s functional requirements. The company emphasized that qualification does not replace site-level engineering.

NVIDIA plans to add more infrastructure and software categories over time. The initiative reflects the growing importance of power delivery and liquid cooling as AI factories scale to support increasingly dense computing systems.

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European Investor 09-21-26

NVIDIA, Google and Emerald AI Launch Alliance to Tackle AI Data Center Power Constraints

NVIDIA, Google and Emerald AI have launched the AI Energy Management Alliance, a new coalition aimed at making large AI data centers more flexible in how they consume electricity and accelerating their connection to power grids.

Power availability has become a major constraint on the expansion of U.S. AI infrastructure. The alliance is developing a framework that would allow AI data centers to adjust electricity consumption according to grid conditions by shifting computing workloads, using energy storage or paired generation, and reducing demand during periods of system stress.

The approach could allow utilities to connect large AI facilities more quickly while reducing the need for costly grid upgrades. AEMA plans to establish standardized performance requirements covering response times, power curtailment, emergency operations and data sharing between data centers and grid operators.

The initiative brings together AI companies, data center operators, power producers, utilities and grid operators. For NVIDIA and the broader AI industry, addressing electricity constraints is becoming increasingly important as rapidly expanding AI computing capacity requires substantially more power infrastructure.

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WS Investor 09-16-26

NVIDIA Brings Perplexity’s Local AI Agent to Windows RTX PCs

NVIDIA said Perplexity Portable Computer is now available on compatible Windows PCs powered by GeForce RTX and RTX PRO GPUs, expanding access to AI agents that can perform complex tasks locally rather than relying entirely on cloud computing.

Portable Computer is a local version of Perplexity Computer designed to plan and execute multistep tasks. NVIDIA GPUs accelerate local models that can analyze data, work across files and handle recurring tasks while keeping sensitive information on the device. Tasks completed locally also do not consume Perplexity Computer cloud credits.

The platform combines local and cloud AI. For more demanding reasoning tasks, the agent can determine that cloud processing is needed and ask for permission before sending information off-device. It can also connect with services including Microsoft Outlook, OneDrive, Word, Google Drive, Gmail, Slack and GitHub.

The development highlights NVIDIA’s push to expand AI computing beyond data centers and into personal computers. Running increasingly capable AI agents directly on RTX hardware could create another source of demand for high-memory GPUs as agentic AI becomes more integrated into everyday professional workflows.

Portable Computer requires a GeForce RTX or RTX PRO GPU with at least 24GB of VRAM, while support for NVIDIA DGX Station is expected later.

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WS Investor 09-14-26

NVIDIA Says Its AI Platform Is Powering the Global Robotaxi Expansion

NVIDIA is expanding its role in autonomous transportation as robotaxi developers, mobility platforms and automakers increasingly adopt the company’s computing technologies to train, simulate and operate driverless vehicles. NVIDIA says every major robotaxi program currently operating at commercial scale uses at least part of its modular technology stack.

The platform combines three major computing layers: NVIDIA DGX systems for AI model training, Omniverse and Cosmos running on RTX PRO servers for simulation and validation, and DRIVE Hyperion with DRIVE AGX Thor for in-vehicle computing. DRIVE Hyperion 10 uses dual Blackwell-based DRIVE AGX Thor chips alongside cameras, radar, lidar and ultrasonic sensors to provide 360-degree perception and redundant computing.

NVIDIA’s ecosystem now spans many of the biggest names in autonomous mobility. Uber plans to scale NVIDIA DRIVE Hyperion-based robotaxis to 28 cities by 2028 and is working with companies including Lucid, Mercedes-Benz, Nuro, Pony*ai, Wayve and WeRide. Lyft, Bolt, May Mobility and Waymo are also using or working with NVIDIA technologies.

Automakers including Mercedes-Benz, Stellantis, Hyundai, Kia, Geely and Zeekr are also integrating NVIDIA technology into autonomous-driving programs, while Tesla uses NVIDIA supercomputers to train its autonomous-driving neural networks.

The expansion positions NVIDIA to capture computing demand beyond data centers as physical AI moves toward commercial deployment in transportation.

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Global Finance News 09-11-26

US Justice Department probes Nvidia's licensing deal with Groq amid antitrust concerns | Noah Intelligence

The US Department of Justice is examining whether Nvidia's licensing agreement with AI startup Groq was structured to evade antitrust scrutiny, signalling intensified regulation of AI industry mergers.The US Department...

(noah-news.com)

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WS News 09-11-26

NVIDIA and Palantir Partner to Bring Sovereign AI to Critical Supply Chains

NVIDIA and Palantir Technologies announced a new collaboration Thursday to develop a sovereign AI stack designed to optimize complex supply chains, with the technology initially being deployed across NVIDIA’s own operations.

The platform combines NVIDIA’s Nemotron open AI models with Palantir Foundry and its Artificial Intelligence Platform, or AIP. Grounded in Palantir’s Ontology, the system is designed to identify supply constraints, improve visibility and help organizations make operational decisions while maintaining control of proprietary data.

NVIDIA is using the technology to manage one of the semiconductor industry’s most complicated supply chains. The company said each Vera Rubin rack requires about 1.3 million parts, with production dependent on coordinated supplies of compute, memory, networking, power, cooling and mechanical components.

The companies plan to extend the technology beyond NVIDIA to industries including manufacturing, energy, healthcare, automotive and aerospace. Customers will be able to deploy the AI stack on-premises, in colocation facilities or in the cloud while retaining ownership and control of their models and operational data.

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The Investor 09-10-26

Nvidia Gains 2.5% as Rosenblatt and Needham Reiterate Buy Ratings

Nvidia (NASDAQ: NVDA) shares rose about 2.5% as two Wall Street firms reiterated bullish ratings on the AI chip leader.

Rosenblatt Securities analyst Kevin Cassidy maintained a Buy rating on Nvidia with a $390 price target, implying substantial upside from the stock’s current price of $234.07.

Needham & Company analyst N. Quinn Bolton also reiterated a Buy rating, setting a $300 price target.

AI Leadership Supports Bullish Sentiment

The positive analyst calls reinforce Wall Street confidence in Nvidia’s position at the center of the artificial intelligence infrastructure market. The company remains the dominant supplier of GPUs used to train and run advanced AI models, while its broader ecosystem spanning networking, software and accelerated computing strengthens its competitive position.

The two price targets indicate different expectations for Nvidia’s upside, but both firms remain bullish on the stock. Rosenblatt’s $390 target is particularly aggressive, representing roughly 67% upside from the indicated price, while Needham’s $300 target implies about 28% upside.

Nvidia’s 2.5% gain suggests the reiterated Buy ratings are adding to positive sentiment around the AI semiconductor leader.

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Global Finance News 09-04-26

NVIDIA to Acquire Hugging Face for $12.93 Billion, Expanding Its Reach Across the AI Ecosystem

NVIDIA has agreed to acquire Hugging Face for approximately $12.93 billion, bringing one of the world’s largest open artificial intelligence developer platforms under the AI chip leader as it expands its influence beyond computing hardware and deeper into the software and model ecosystem.

Hugging Face has become a central hub for open-source and open-weight AI development. According to NVIDIA, more than 18 million developers, researchers and creators use the platform, which hosts over 3 million models, 500,000 datasets and 1 million applications. More than 200,000 companies use Hugging Face to discover, evaluate, customize and deploy AI models.

Importantly, NVIDIA said Hugging Face will remain an open platform rather than becoming tied exclusively to NVIDIA hardware. Developers will continue to be able to choose their preferred models, frameworks, cloud providers, inference services and computing platforms, and NVIDIA compute will not be required to use Hugging Face. The platform will also continue supporting models from competing developers and multi-cloud and multi-accelerator deployments.

The acquisition could significantly expand NVIDIA’s position across the AI technology stack. NVIDIA already dominates the market for accelerators used to train and run advanced AI models, while Hugging Face provides a major distribution and collaboration layer connecting model developers with enterprises and researchers. NVIDIA said it has already published more than 500 models and over 250 open datasets on Hugging Face and describes itself as the platform’s largest contributor of open models and data.

NVIDIA plans to use its infrastructure, engineering capabilities and global reach to improve Hugging Face’s reliability, model evaluation, safety, inference and deployment capabilities while preserving its open ecosystem.

The $12.93 billion deal represents another major strategic expansion for NVIDIA as competition increasingly moves beyond GPUs toward complete AI platforms encompassing chips, networking, software, models and deployment. Owning Hugging Face could give NVIDIA a much broader role in how millions of developers build and deploy AI while maintaining the platform as a hardware-neutral gateway to the wider AI ecosystem.

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European Investor 09-03-26

Nvidia's next act is bigger than selling AI chips: Chart of the Day

CEO Jensen Huang wants Nvidia to become the architecture of AI, not merely its dominant chipmaker.

(finance.yahoo.com)

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WS News 09-02-26

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US Justice Department probes Nvidia's licensing deal with Groq amid antitrust concerns | Noah Intelligence

Nvidia's next act is bigger than selling AI chips: Chart of the Day

NASDAQ:NVDA