Nvidia Corporation Stock Price, News & Analysis

NVIDIA has launched its new A100 80GB GPU, enhancing its HGX AI supercomputing platform with double the memory and over 2 terabytes per second of bandwidth. This innovation accelerates applications across AI, big data, and scientific research, enabling the training of larger models and faster processing. The A100 80GB GPU is expected to be integrated into systems from leading providers like Atos, Dell, Fujitsu, and others, set for release in the first half of 2021. The advanced GPU features improved memory capacity, multi-instance GPU technology, and groundbreaking tensor cores.

NVIDIA has launched the DGX Station A100, the world's only petascale workgroup server, designed for AI and data science tasks. Featuring four NVIDIA A100 Tensor Core GPUs, it delivers 2.5 petaflops of performance and supports up to 320GB of GPU memory. The system can run up to 28 parallel GPU instances and is marketed to various sectors, including healthcare and finance. This second-gen model promises over 4x faster performance compared to its predecessor, aiding teams in research and development. Availability starts this quarter through NVIDIA partner resellers.

NVIDIA and Hyundai Motor Group have announced that all new Hyundai, Kia, and Genesis models will include NVIDIA DRIVE infotainment systems starting in 2022. This partnership will provide a software-defined AI user experience, enhancing vehicle functionality and safety over time. The NVIDIA DRIVE platform integrates advanced AI capabilities and a new connected car operating system (ccOS) for improved user experience. This collaboration extends a relationship that began in 2015 and signifies Hyundai's commitment to continuous innovation and enhanced in-vehicle services.

NVIDIA has appointed Aarti Shah to its board of directors, expanding the board to 13 members. Shah, who is the senior vice president and chief information and digital officer at Eli Lilly and Company, brings extensive experience in IT, digital health, and analytics. Jensen Huang, NVIDIA's CEO, highlighted her as a world-class leader poised to enhance the intersection of computer science and healthcare. This marks the second board addition in 2020, following the July appointment of John Dabiri.

NVIDIA is set to host a conference call on November 18, 2020, at 2 p.m. PT to discuss its Q3 fiscal year 2021 results, ending October 25, 2020. The call will be available in listen-only mode on NVIDIA's website. Written commentary from the CFO will be released shortly before the call, available on investor.nvidia.com. The conference call will provide insights into NVIDIA's financial performance and future outlook.

NVIDIA has extended its leadership in AI performance, achieving unprecedented results in the recent MLPerf benchmark. The A100 Tensor Core GPU outperformed CPUs by up to 237x in new inference tests, leading across all six application areas. Industries are increasingly adopting NVIDIA's AI solutions, with its GPUs now offering more AI inference capacity in the cloud than CPUs. The advancements provide significant cost efficiency for businesses, enabling seamless transitions from research to operational AI.

NVIDIA announced that the Italian consortium CINECA will build the world’s fastest AI supercomputer, named Leonardo, utilizing NVIDIA's accelerated computing platform. This system aims to deliver 10 exaflops of AI performance, enhancing Italy’s leadership in AI and high-performance computing (HPC) research. Funded by the European Commission, Leonardo is designed to tackle scientific challenges across various fields including drug discovery and climate change, leveraging NVIDIA's Ampere architecture GPUs and advanced networking technology.

NVIDIA has unveiled its new data processing units (DPUs) and the DOCA SDK, aimed at revolutionizing data center infrastructure. CEO Jensen Huang emphasized that DPUs are essential for modern data centers, enabling organizations to enhance their IT infrastructure with superior networking, storage, and security. A single BlueField-2 DPU can replace up to 125 CPU cores, streamlining operations. Major server manufacturers like ASUS and Dell are set to adopt NVIDIA's DPUs, which are optimized for AI and security tasks. The DOCA SDK will help developers create applications for these DPU-accelerated environments.

NVIDIA has partnered with GSK to establish a pioneering AI hub in London, utilizing advanced computing and AI methods for drug and vaccine discovery. This hub will integrate GSK’s genetic data with NVIDIA's DGX A100 systems and the Cambridge-1 supercomputer to enhance drug development precision. Dr. Kim Branson emphasized the need for advanced algorithms due to large datasets. NVIDIA’s contributions include expertise in GPU optimization, bolstering GSK's efforts to redefine data-driven medicine and improve research outcomes.