Welcome to our dedicated page for Nvidia Corporation news (Ticker: NVDA), a resource for investors and traders seeking the latest updates and insights on Nvidia Corporation stock.
NVIDIA Corporation (NVDA) drives innovation in accelerated computing through its industry-leading GPUs and AI platforms. This resource aggregates official announcements and verified news about the company's advancements in visual computing, data center solutions, and artificial intelligence infrastructure.
Investors and industry observers will find timely updates on product launches, strategic partnerships, and technological breakthroughs. The curated collection includes earnings reports, R&D milestones, and market expansion initiatives—all sourced directly from NVIDIA's communications and reputable financial analysis.
Key focus areas span GPU architecture innovations, AI software ecosystem developments, and enterprise computing solutions. Regular updates ensure stakeholders maintain informed perspectives on NVIDIA's role in shaping next-generation technologies across gaming, professional visualization, and cloud computing sectors.
Bookmark this page for streamlined access to NVIDIA's latest corporate communications. Combine these primary sources with sector analysis tools to better understand the company's evolving market position and technological impact.
NVIDIA has unveiled groundbreaking technologies for humanoid robot development, headlined by the Isaac GR00T N1, the world's first open, customizable foundation model for humanoid reasoning and skills. The announcement, made on March 18, 2025, includes collaboration with Google DeepMind and Disney Research to develop Newton, an open-source physics engine.
GR00T N1 features a dual-system architecture: System 1 for fast-thinking actions and System 2 for methodical decision-making. The model can handle common tasks like grasping and moving objects, addressing global labor shortages estimated at over 50 million people.
Key developments include:
- The NVIDIA Isaac GR00T Blueprint for synthetic data generation
- A collaboration to develop MuJoCo-Warp, expected to accelerate robotics machine learning workloads by 70x
- Generation of 780,000 synthetic trajectories in just 11 hours, equivalent to 9 months of human demonstration data
- Early access partners including Agility Robotics, Boston Dynamics, and others
NVIDIA has unveiled its revolutionary RTX PRO Blackwell series of workstation and server GPUs, designed for AI, technical, creative, engineering, and design professionals. The new lineup includes data center, desktop, and laptop GPUs featuring groundbreaking performance improvements:
- Up to 1.5x faster throughput with new neural shaders
- 2x performance boost in RT Cores
- Up to 4,000 AI trillion operations per second with Fifth-Generation Tensor Cores
- Up to 96GB GDDR7 memory for workstations/servers and 24GB for laptops
- Double bandwidth with PCIe 5th generation support
The series supports Multi-Instance GPU technology, allowing secure partitioning of single GPUs into multiple instances. The RTX PRO 6000 Blackwell Server Edition will be available through major providers including AWS, Google Cloud, and Microsoft Azure, while workstation editions will be distributed starting April through partners like PNY and TD SYNNEX, with manufacturer availability beginning May.
NVIDIA has unveiled two new personal AI supercomputers: DGX Spark and DGX Station, powered by the NVIDIA Grace Blackwell platform. These desktop systems bring data-center-level AI capabilities to developers, researchers, and data scientists.
DGX Spark, featuring the GB10 Grace Blackwell Superchip, delivers up to 1,000 trillion operations per second of AI compute. The system includes fifth-generation Tensor Cores and FP4 support, optimized for AI model fine-tuning and inference.
DGX Station, built with the GB300 Grace Blackwell Ultra Desktop Superchip, offers 784GB of coherent memory space and includes the ConnectX-8 SuperNIC supporting networking up to 800Gb/s. Leading computer manufacturers including ASUS, Dell Technologies, HP, and Lenovo will develop these systems.
Reservations for DGX Spark are now open, while DGX Station will be available from manufacturing partners later in 2025.
NVIDIA has unveiled groundbreaking networking technology with the announcement of Spectrum-X and Quantum-X silicon photonics networking switches, designed to revolutionize AI factory connectivity. These switches enable connecting millions of GPUs while achieving significant improvements in efficiency and performance.
The new technology delivers 3.5x more power efficiency, 63x greater signal integrity, 10x better network resiliency, and 1.3x faster deployment compared to traditional methods. The Spectrum-X Ethernet platform offers configurations of up to 512 ports of 800Gb/s, achieving 400Tb/s total throughput, while providing 1.6x bandwidth density versus traditional Ethernet.
Through collaborations with industry leaders including TSMC, Coherent, Corning, Foxconn, Lumentum, and SENKO, NVIDIA has developed an integrated silicon and optics process supply chain. The Quantum-X Photonics InfiniBand switches will be available later in 2025, while Spectrum-X Photonics Ethernet switches are scheduled for release in 2026.
NVIDIA has unveiled the next evolution of its Blackwell AI factory platform, called Blackwell Ultra, designed to advance AI reasoning capabilities. The platform includes the GB300 NVL72 rack-scale solution and HGX B300 NVL16 system, delivering 1.5x more AI performance than its predecessor.
The GB300 NVL72 connects 72 Blackwell Ultra GPUs and 36 Arm Neoverse-based NVIDIA Grace CPUs in a rack-scale design. The HGX B300 NVL16 offers 11x faster inference on large language models, 7x more compute, and 4x larger memory compared to the Hopper generation.
Key features include:
- Integration with NVIDIA Spectrum-X Ethernet and Quantum-X800 InfiniBand platforms
- New open-source NVIDIA Dynamo inference framework for enhanced AI services
- Support for agentic AI and physical AI applications
Major tech companies and cloud service providers, including AWS, Google Cloud, and Microsoft Azure, will offer Blackwell Ultra-powered instances starting from the second half of 2025.
NVIDIA has unveiled NVIDIA Dynamo, a new open-source inference software designed to accelerate and scale AI reasoning models in AI factories. The software, succeeding NVIDIA Triton Inference Server, focuses on maximizing token revenue generation while reducing costs.
Key features of Dynamo include:
- Doubles performance and revenue for Llama models on NVIDIA Hopper platform
- Boosts token generation by over 30x per GPU for DeepSeek-R1 model on GB200 NVL72 racks
- Enables dynamic GPU allocation and management
- Supports disaggregated serving for separate processing phases
The platform includes four main innovations: GPU Planner for dynamic resource management, Smart Router for efficient request direction, Low-Latency Communication Library for optimized data transfer, and Memory Manager for cost-effective data handling. Major companies including AWS, Google Cloud, Microsoft Azure, and Meta will be implementing this technology.
General Motors (GM) and NVIDIA have announced an expanded collaboration focused on implementing AI solutions for next-generation vehicles and manufacturing. The partnership leverages NVIDIA's accelerated compute platforms, including Omniverse with Cosmos for AI manufacturing models and DRIVE AGX for in-vehicle systems.
GM will utilize NVIDIA Omniverse to create digital twins of assembly lines, enabling virtual testing and production simulations to minimize downtime. The collaboration extends to training robotics platforms for material handling, transport, and precision welding to enhance manufacturing safety and efficiency.
The automaker will develop next-generation vehicles using NVIDIA DRIVE AGX, based on the Blackwell architecture and DriveOS operating system, capable of performing up to 1,000 trillion operations per second. This partnership aims to optimize manufacturing processes, accelerate virtual testing, and advance vehicle intelligence while allowing GM's workforce to focus on craftsmanship.
NVIDIA has announced major partnerships with T-Mobile, MITRE, Cisco, ODC, and Booz Allen Hamilton to develop AI-native wireless network hardware, software, and architecture for 6G technology. The collaboration aims to create networks capable of connecting billions of devices while maximizing spectral efficiency.
The initiative will build upon NVIDIA's AI Aerial platform, which provides software-defined radio access networks. The partnership will focus on developing an AI-native wireless network stack that fully embeds AI into network software, promising enhanced spectral efficiency and lower operational costs.
Key developments include:
- T-Mobile expanding their AI-RAN Innovation Center collaboration
- MITRE researching AI-driven services for network orchestration
- Cisco providing mobile core and network technologies
- ODC delivering layer 2 and 3 software for virtual RAN
- Booz Allen developing AI RAN algorithms and security measures
NVIDIA has announced major advancements in RTX neural rendering technologies in partnership with Microsoft. The collaboration will bring neural shading support to Microsoft DirectX preview in April 2025, enabling AI Tensor Cores in GeForce RTX GPUs to accelerate neural networks within game graphics pipelines.
Key announcements include:
- RTX Kit updates with Unreal Engine 5 support for RTX Mega Geometry and RTX Hair features
- Official release of NVIDIA RTX Remix open-source platform
- New Half-Life 2 RTX demo launching March 18, featuring full ray tracing and latest neural rendering enhancements
- Achievement of 100+ DLSS 4 games and apps milestone
The new RTX Mega Geometry technology enables developers to use up to 100x more triangles than current standards, while RTX Hair introduces linear swept sphere primitives for improved hair and fur rendering. DLSS 4's Multi Frame Generation can multiply frame rates by up to 8x over traditional rendering on GeForce RTX 50 Series hardware.
NVIDIA has announced GTC 2025, the premier AI conference, scheduled for March 17-21 in San Jose, California. The event will gather 25,000 in-person and 300,000 virtual attendees to explore breakthroughs in physical AI, agentic AI, and scientific discovery.
CEO Jensen Huang will deliver the keynote on March 18, focusing on AI and accelerated computing technologies. The conference will feature over 1,000 sessions, 2,000 speakers, and nearly 400 exhibitors, showcasing NVIDIA's AI platforms across various sectors including climate research, healthcare, cybersecurity, robotics, and autonomous vehicles.
Notable additions include NVIDIA's first Quantum Day on March 20, featuring industry leaders in quantum computing, and expanded AI training opportunities with over 80 hands-on workshops. The event will also host an AI Day for startups and VCs, with demonstrations from NVIDIA Inception program members. A financial analyst Q&A session is scheduled for March 19.
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