Welcome to our dedicated page for Nvidia news (Ticker: NVDA), a resource for investors and traders seeking the latest updates and insights on Nvidia stock.
Nvidia Corporation (NASDAQ: NVDA) is a pioneering multinational technology company based in Santa Clara, California. As a leader in accelerated computing, Nvidia excels in designing and manufacturing graphics processing units (GPUs) that significantly enhance visual experiences and computational tasks.
Initially acclaimed in the gaming sector for their GeForce GPU series, Nvidia's innovations have propelled them into the forefront of artificial intelligence (AI) and high-performance computing (HPC). Their GPUs now play critical roles in AI model development, machine learning, data analytics, and scientific research, powered by their proprietary CUDA platform.
In addition to gaming and AI, Nvidia is expanding into data center solutions, where their technologies facilitate complex workload management and processing. Their recent advancements include the Grace Hopper superchips, which are deployed in next-gen supercomputers worldwide, driving groundbreaking research in fields such as climate science, drug discovery, and quantum computing.
Key partnerships have bolstered Nvidia's growth, with collaborations ranging from renowned universities to industry giants like Hewlett Packard Enterprise (HPE). With their Spectrum-X networking platform and the new Blackwell architecture, Nvidia supports AI cloud services and enterprise data centers, offering unparalleled performance and efficiency.
Financially, Nvidia has demonstrated robust growth, reporting a revenue of $26.0 billion for the first quarter ended April 28, 2024, marking a significant 262% increase from the previous year. Their strategic initiatives include a ten-for-one forward stock split to make stock ownership more accessible, enhancing investor confidence.
Nvidia's innovations extend to a diverse range of applications, including autonomous vehicles, robotics, and digital humans. The Nvidia Isaac robotics platform, for instance, is being adopted by global leaders to develop AI-enabled autonomous machines, improving industrial automation and human-robot collaboration.
Most recently, Nvidia's ACE digital human technologies have been integrated into customer service, gaming, and healthcare applications, showcasing their commitment to revolutionizing human interaction with digital systems.
For further engagement and continuous updates, Nvidia invites stakeholders to their investor relations website and scheduled conference calls, ensuring transparency and accessibility to financial insights and corporate developments.
REX Financial announced that its T-Rex 2X Long NVIDIA Daily Target ETF (NVDX) was the best-performing ETF of 2024, delivering a 383% total return and outperforming the second-best ETF by over 38%. Launched on October 19, 2023, NVDX was the first 2X daily target NVIDIA ETF in the U.S. and has accumulated over $700 million in assets under management.
The ETF's success is attributed to NVIDIA's growth driven by AI technologies, data centers, and gaming demand. REX Financial has also pioneered other leveraged ETFs, including 2x and -2x products for Tesla, MicroStrategy, Bitcoin, Ethereum, and major tech companies. The company emphasizes that NVDX is designed as a daily trading tool for sophisticated investors rather than a buy-and-hold investment.
NVIDIA announced new partnerships to transform the $10 trillion healthcare and life sciences industry through AI and accelerated computing. The company is collaborating with IQVIA, Illumina, Mayo Clinic, and Arc Institute to advance drug discovery, genomic research, and healthcare services.
Key partnerships include: IQVIA using NVIDIA AI Foundry for custom foundation models on 64+ petabytes of data; Illumina integrating NVIDIA's computing platform for genomics analysis; Mayo Clinic developing AI-powered digital pathology with 20 million whole-slide images and 10 million patient records; and Arc Institute scaling biology AI models for biomedical discovery.
These initiatives aim to create AI solutions including agents for clinical trials, models for drug discovery and digital pathology, and physical AI robots for surgery and patient monitoring. The partnerships target a $3 trillion operations market and potential AI factory opportunity worth hundreds of billions.
NVIDIA has unveiled the NVIDIA AI Blueprint for retail shopping assistants, a generative AI workflow designed to transform shopping experiences. Built on NVIDIA AI Enterprise and Omniverse platforms, this solution helps developers create AI-powered digital assistants that complement human workers.
The blueprint features NVIDIA NeMo microservices enabling AI assistants to understand text and image prompts, perform multiple item searches, and handle complex tasks like creating travel wardrobes. Using the Omniverse platform, these assistants can present products in accurate virtual environments, allowing customers to preview items in their own spaces.
SoftServe has already developed a Gen AI Shopping Assistant using this blueprint, featuring virtual try-on capabilities. The solution integrates with Meta Llama 3.3 70B and includes NVIDIA NeMo Guardrails safety features. The retail industry, currently valued at $30 trillion and projected to reach $35 trillion by 2028, represents a significant opportunity for AI transformation.
NVIDIA has unveiled Project DIGITS, a personal AI supercomputer powered by the new GB10 Grace Blackwell Superchip. This desktop system delivers up to 1 petaflop of AI performance and can run models with up to 200 billion parameters. The GB10 Superchip combines a Blackwell GPU with a Grace CPU featuring 20 Arm-based cores, developed in collaboration with MediaTek.
Project DIGITS includes 128GB of unified memory and up to 4TB of NVMe storage. Two units can be linked to handle 405-billion-parameter models. The system runs on Linux-based NVIDIA DGX OS and allows seamless deployment to cloud or data center infrastructure. Users can access NVIDIA's AI software library, including SDKs, frameworks, and tools from the NGC catalog.
The system will launch in May, starting at $3,000, targeting AI researchers, data scientists, and students.
NVIDIA announced that its DRIVE AGX Hyperion autonomous vehicle platform has received safety certifications from TÜV SÜD and TÜV Rheinland, marking a significant milestone in automotive safety and cybersecurity. The platform, adopted by manufacturers like Mercedes-Benz, JLR, and Volvo Cars, is the industry's first end-to-end autonomous driving solution.
The latest iteration, available in H1 2025, will feature the DRIVE AGX Thor SoC built on NVIDIA's Blackwell architecture. The platform received ISO 21434 Cybersecurity Process certification from TÜV SÜD, while NVIDIA DriveOS 6.0 awaits ISO 26262 ASIL D certification. TÜV Rheinland conducted a UNECE safety assessment of NVIDIA DRIVE AV.
NVIDIA has also become ANAB-accredited to provide safety and cybersecurity inspections through its new DRIVE AI Systems Inspection Lab, making it the first platform company to receive comprehensive third-party assessments for its automotive technologies.
NVIDIA announced major partnerships with Toyota, Aurora, and Continental for developing autonomous vehicle fleets. Toyota, the world's largest automaker, will build its next-generation vehicles using NVIDIA DRIVE AGX Orin with DriveOS operating system. Aurora and Continental formed a strategic partnership with NVIDIA to deploy driverless trucks at scale, with Continental planning mass manufacture of SAE level 4 autonomous systems by 2027.
NVIDIA's automotive vertical business is projected to reach approximately $5 billion in fiscal year 2026. The company's autonomous vehicle ecosystem includes numerous major automakers, truckmakers, robotaxi companies, and mobility startups. NVIDIA's comprehensive solution includes three core computing systems: DRIVE AGX for in-vehicle computing, DGX for fleet data processing and AI model training, and Omniverse with Cosmos for simulation and validation.
NVIDIA has announced new generative AI models and blueprints expanding NVIDIA Omniverse integration into physical AI applications. The announcement includes the launch of Cosmos World Foundation Models and new blueprints for industrial and robotic workflows.
Major tech companies including Accenture, Altair, Ansys, Cadence, Microsoft, and Siemens are among the first to integrate Omniverse into their products. Siemens announced the Teamcenter Digital Reality Viewer, powered by NVIDIA Omniverse libraries.
The company introduced new tools including USD Code and USD Search NVIDIA NIM microservices and the NVIDIA Edify SimReady model for automated 3D asset labeling. Four new blueprints were announced: Mega for robot fleet testing, Autonomous Vehicle Simulation, Omniverse Spatial Streaming to Apple Vision Pro, and Real-Time Digital Twins for Computer Aided Engineering.
NVIDIA has announced Cosmos, a new platform featuring generative world foundation models (WFMs), tokenizers, and video processing tools designed to advance physical AI systems development, particularly for autonomous vehicles and robots. The platform aims to help developers generate synthetic training data and build custom models more efficiently.
Cosmos WFMs will be available under an open model license, with leading companies including Uber, XPENG, and several robotics firms among early adopters. The platform includes an AI-accelerated data processing pipeline that can process 20 million hours of videos in 14 days using the NVIDIA Blackwell platform, and a new tokenizer offering 8x more compression and 12x faster processing than current solutions.
The platform incorporates trustworthy AI principles with built-in guardrails to mitigate harmful content and includes invisible watermarks for AI-generated content. Cosmos WFMs are now available on Hugging Face and NVIDIA NGC catalog, with optimized NVIDIA NIM microservices coming soon.
NVIDIA has announced foundation models for RTX AI PCs, introducing NVIDIA NIM microservices and AI Blueprints. The new GeForce RTX 50 Series GPUs feature up to 3,352 trillion operations per second of AI performance and 32GB of VRAM, with FP4 compute support that doubles AI inference performance compared to previous generations.
The company will release NIM microservices for RTX AI PCs from developers including Black Forest Labs, Meta, Mistral, and Stability AI. These services support various AI applications including language models, image generation, and computer vision. NVIDIA also unveiled Project R2X, a vision-enabled PC avatar, and introduced AI Blueprints for tasks like podcast creation from PDFs and 3D-guided image generation.
NIM microservices and AI Blueprints will be available from February, initially supporting GeForce RTX 50 Series, RTX 4090 and 4080, and RTX 6000 and 5000 professional GPUs. Major PC manufacturers including Acer, ASUS, Dell, and others will offer NIM-ready RTX AI PCs.
NVIDIA has unveiled its next-generation GeForce RTX 50 Series GPUs, powered by the Blackwell architecture. The flagship GeForce RTX 5090 features 92 billion transistors and delivers up to 2x performance compared to the RTX 4090, with 3,352 trillion AI operations per second.
The new series introduces DLSS 4 with Multi Frame Generation, boosting frame rates up to 8x over traditional rendering. Key innovations include RTX Neural Shaders, RTX Neural Faces, and enhanced AI capabilities for gaming and creative workflows. The GPUs also support FP4 precision, improving AI image generation performance by 2x.
Desktop models will launch starting January 30, 2024, with the RTX 5090 priced at $1,999, RTX 5080 at $999, RTX 5070 Ti at $749, and RTX 5070 at $549. Laptop versions will be available from March 2024, featuring up to 40% better battery efficiency through Max-Q technology.
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