H100 Tensor Core GPUs – AI.RadicalShift

analysesNVIDIA’s Role in Healthcare Innovation Feb 2025

Accelerated computing, Americas, Analytics, Artificial Intelligence, Big Data, Generative AI, Healthcare, Neural networks, Pharma & Biotech, Predictive analytics, Semiconductors

March 4, 2025

RadicalShift.AI

$10 trillion, 1993, 2025, AI, AlphaFold2, Amgen, Arc Institute, biologics, BioNeMo™, California, Clara, clinical trials, Cosmos Nemotron, CT, deCODE genetics, Deloitte, DGX Cloud, DGX SuperPOD, DGX systems, DiffDock 2.0, Drug Discovery, Freyja, genomics, GPUs, H100 Tensor Core GPUs, Healthcare, Iceland, Illumina, IQVIA, J.P. Morgan Healthcare Conference, Mayo Clinic, medical imaging, MONAI, MRI, NIM microservices, NVIDIA, Parabricks, precision medicine, ProteinMPNN, Quartz Atlas AI, RAPIDS, Reykjavik, RFdiffusion, Santa Clara, The Crick Team, TRACERx EVO, UC San Diego, ultrasound, Wellcome Sanger Institute

Key Points Nvidia is a tech leader in GPUs and AI, expanding into healthcare with innovative platforms. Partners with major healthcare firms like IQVIA, Illumina, Mayo Clinic, and Amgen for AI-driven solutions. Impacts drug discovery, medical imaging, genomics, and clinical trials, accelerating research and improving outcomes. Surprisingly, Nvidia’s AI helps predict protein properties for biologics,…
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newsGoogle Quantum AI and NVIDIA Join Forces to Advance Quantum Processor Design with CUDA-Q Platform and Supercomputing Power

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Industrial, Quantum Computing, Semiconductors, Supercomputer

November 19, 2024

Sheryl Rivera

AI supercomputing, CUDA-Q platform, CUDA-Q software, dynamical simulations, Google Quantum AI, GPU-accelerated simulations, Guifre Vidal, H100 Tensor Core GPUs, hybrid quantum-classical computing, large-scale simulations, noise management, NVIDIA, NVIDIA Eos supercomputer, public availability, quantum chip design, quantum computing, quantum hardware, quantum processor design, quantum research, quantum technologies, qubits, Real-world Challenges, scalable quantum systems, Tim Costa

SANTA CLARA — At SC24, NVIDIA announced its collaboration with Google Quantum AI to accelerate the development of next-generation quantum computing devices. By leveraging the NVIDIA CUDA-Q™ platform and the NVIDIA Eos supercomputer, Google is conducting advanced simulations to overcome key design challenges in quantum hardware. Tackling Noise in Quantum Computing Hardware Quantum computing has…
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newsNVIDIA Powers Japan’s Healthcare Innovation with AI-Driven Advances in Drug Discovery, Genomics, and Medical Imaging

AI assistants, AI models, Americas, Artificial Intelligence, Asia, Data centers, Deep learning, Generative AI, Healthcare, LLMs (Large Language Models), Pharma & Biotech, Robotics, Supercomputer

November 12, 2024

Sheryl Rivera

aging population, AI, Astellas Pharma, CT imaging, Daiichi-Sankyo, DGX supercomputer, digital health, Drug Discovery, Fujifilm, genome sequencing, genomics, H100 Tensor Core GPUs, healthcare innovation, healthcare robotics, Holoscan, IOWN network, Japan, Jetson Orin modules, medical imaging, medical technology, Mitsui & Co, MONAI, NTT, NURA, NVIDIA, NVIDIA AI Summit Japan, NVIDIA BioNeMo, Olympus, Ono Pharmaceutical, Parabricks, precision medicine, Showa University, sovereign AI, surgical microscopy, Tokyo-1, University of Tokyo Human Genome Center, Xeureka

SANTA CLARA — Japan’s healthcare sector is embracing sovereign AI solutions to advance drug discovery, genomics, and medical device development, as healthcare providers and researchers innovate to meet the needs of an aging population. Nearly 30% of Japan’s citizens are over 65, and AI-driven healthcare is seen as vital to addressing an anticipated shortfall of…
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newsJapan’s ABCI-Q Supercomputer, Powered by NVIDIA, to Spearhead Quantum Computing Research

Americas, Artificial Intelligence, Industrial, Quantum Computing, Semiconductors, Supercomputer

March 19, 2024

Oleg Lazarov

ABCI-Q, AIST, CUDA-Q™, G-QuAT, H100 Tensor Core GPUs, high-performance simulation, Hopper Architecture, Japan, Masahiro Horibe, NVIDIA, quantum computing, Quantum-2 InfiniBand, supercomputer, Tim Costa

SANTA CLARA — In a significant stride towards Japan’s quantum computing aspirations, NVIDIA has unveiled its collaboration with the nation’s quantum research initiative through the ABCI-Q supercomputer. This advanced computing system, set to be operational early next year, aims to catalyze quantum research endeavors across various industries. ABCI-Q, housed at the Global Research and Development…
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newsNVIDIA Omniverse Breaks Ground in Scientific Computing, Unveiling Support for High-Performance Visualization and Digital Twins

Americas, Artificial Intelligence, Digital twins, Virtual reality

November 14, 2022

Sheryl Rivera

A100, Argonne National Laboratory, artificial intelligence, clean energy, climate research, Digital Twins, Dion Harris, Earth-2 initiative, H100 Tensor Core GPUs, high-performance visualization, HPC, IndeX, Kitware, Lockheed Martin, Matt Ross, Michael Papka, Modulus, NeuralVDB, NVIDIA, Omniverse, ParaView, Princeton Plasma Physics Laboratory, SC22, scientific computing, William Tang

Connection to Leading Scientific Tools Empowers Researchers to Explore Vast Datasets and Accelerate HPC Workflows SANTA CLARA — NVIDIA has announced a significant expansion of its Omniverse platform, ushering in a new era for scientific computing and high-performance visualization. With seamless integration with leading scientific tools and support for batch-rendering workloads on NVIDIA A100 and…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.