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 (NASDAQ: NVDA) operates in the semiconductor and related device manufacturing industry and describes itself as the world leader in AI and accelerated computing. The NVDA news stream highlights how the company’s technologies and partnerships shape AI platforms, data center infrastructure, robotics, autonomous vehicles and scientific computing.
Recent NVIDIA news includes announcements about the NVIDIA Rubin platform, which combines the Vera CPU, Rubin GPU, NVLink 6 switch, ConnectX‑9 SuperNIC, BlueField‑4 DPU and Spectrum‑6 Ethernet switch into an AI platform aimed at reducing training time and inference token costs. Other updates cover NVIDIA BlueField‑4 powering an AI‑native storage infrastructure called the NVIDIA Inference Context Memory Storage Platform, designed to support long‑context, multi‑agent AI systems.
The NVDA news feed also features sector‑specific developments. In life sciences, NVIDIA has announced expansions of the NVIDIA BioNeMo platform and a co‑innovation lab with Eli Lilly and Company to apply AI to drug discovery and related workflows. In robotics and physical AI, NVIDIA has introduced new open models such as NVIDIA Cosmos and Isaac GR00T, along with frameworks like Isaac Lab‑Arena and OSMO, and highlighted partners unveiling new robots built on NVIDIA technologies.
For autonomous vehicles, NVIDIA news includes the launch of the Alpamayo family of open AI models, simulation tools and datasets for reasoning‑based AV development. Additional items cover the Nemotron 3 family of open models for agentic AI and a strategic partnership with Synopsys to apply accelerated computing to engineering and design. Investors and observers can use the NVDA news page to follow product launches, ecosystem collaborations, AI platform updates and regulatory communications that illustrate how NVIDIA positions its technology across industries.
NVIDIA has commenced production of its DRIVE Orin autonomous vehicle computer, with an automotive pipeline exceeding $11 billion over the next six years. Over 25 vehicle manufacturers are adopting this software-defined platform, including BYD and Lucid Group, enhancing their fleets with intelligent driving capabilities. The newly announced DRIVE Hyperion 9 architecture, set for vehicles shipping in 2026, promises advanced performance and safety. NVIDIA's DRIVE platform is now the choice for 20 of the top 30 electric vehicle makers worldwide.
NVIDIA announces the launch of the Spectrum-4 Ethernet platform, the first 400Gbps end-to-end networking solution, providing 4x switching throughput and 51.2 terabits per second. This platform is built for AI-driven data centers, offering nanosecond timing precision, enhanced security features, and improved power efficiency. Key technologies include the BlueField-3 DPU and ConnectX-7 SmartNIC. NVIDIA's innovations aim to support the increasing demands for performance and security in modern data centers, with the Spectrum-4 facilitating advancements in AI applications and virtualization.
NVIDIA has announced the launch of NVIDIA OVX, a computing system aimed at creating large-scale digital twins. This system integrates advanced GPU-accelerated computing, networking, and storage capabilities to enable simulations that mirror real-world environments.
Key applications include modeling for industries such as robotics and automation. The OVX server configuration includes powerful components like eight A40 GPUs and extensive storage options. Availability is expected later this year through partners like Inspur and Lenovo.
NVIDIA announced a groundbreaking platform for scientific digital twins at GTC, combining NVIDIA Modulus AI and Omniverse to accelerate physics machine-learning models for simulations.
This platform can run simulations up to 45,000x faster than traditional models, enabling improved accuracy in modeling extreme weather events and optimizing wind turbine design with Siemens Gamesa.
This innovation has applications in addressing challenges such as climate change, drug discovery, and renewable energy sources.
NVIDIA announced over 60 updates to its CUDA-X libraries, enhancing its CUDA software platform for accelerated computing. The updates support advancements in various fields including quantum computing, 6G, logistics optimization, and cybersecurity. The CUDA platform has over 33 million downloads since its launch, with substantial growth seen in 2021. Notable enhancements include the general availability of cuQuantum for quantum simulations and Sionna for 6G research. These tools aim to drive innovation across industries, improving performance for developers and researchers.
NVIDIA has introduced NVLink-C2C, a groundbreaking chip-to-chip and die-to-die interconnect designed to enhance system integration for data centers. This new technology offers up to 25x energy efficiency and 90x area efficiency compared to PCIe Gen 5. NVLink-C2C supports coherent interconnect bandwidths exceeding 900 GB/s and is vital for custom silicon integration. Collaborating closely with Arm, NVIDIA aims to facilitate future technologies. This innovation is expected to play a crucial role in countering the slowdown of Moore's Law while optimizing for bandwidth, power efficiency, and area density.
NVIDIA has unveiled its Grace CPU Superchip, designed for AI and high-performance computing, boasting 144 Arm cores and a memory bandwidth of 1 terabyte per second. This new CPU delivers a performance estimated at 740 on the SPECrate benchmark, over 1.5 times higher than existing dual-CPU systems. It features energy-efficient LPDDR5x memory, consuming only 500 watts. The Grace CPU Superchip is set to enhance applications in HPC, AI, and data analytics, with market availability expected in the first half of 2023.
NVIDIA has unveiled its fourth-generation DGX H100 system, designed to meet demanding AI compute requirements. Each DGX H100 delivers 32 petaflops of AI performance, 6x that of the previous generation. The new DGX SuperPOD can achieve 1 exaflops of FP8 AI performance. NVIDIA's upcoming 'Eos' supercomputer aims to become the fastest AI system, providing 18.4 exaflops of AI computing. The company also introduced the DGX Foundry service for improved customer access to AI infrastructure and announced a new DGX-Ready Managed Services program to assist enterprises in adopting AI technology.
NVIDIA has announced the launch of the NVIDIA H100 GPU, featuring the new Hopper architecture, which promises to dramatically enhance AI data center performance. With 80 billion transistors, the H100 GPU supports PCIe Gen5 and HBM3, delivering groundbreaking memory bandwidth and connectivity. Its innovations include a revolutionary Transformer Engine, enhanced multi-instance technology, and confidential computing features. The H100 is expected to be available globally later this year, enabling enterprises to leverage AI for various applications, including healthcare and finance.
NVIDIA has unveiled significant updates to its AI platform, which are now being utilized by major companies, including Amazon, Microsoft, Snap, and NTT Communications. Key releases include NVIDIA Riva for speech AI, NVIDIA Merlin for recommendations, and the NVIDIA AI Enterprise 2.0 suite optimized for all major data centers and cloud platforms. Additionally, the NVIDIA AI Accelerated program supports the deployment of AI applications across a broad partner ecosystem. This suite enhances AI capabilities for enterprises, enabling the development of advanced applications.