Latest news with #NVIDIADGXCloud
Yahoo
28-04-2025
- Business
- Yahoo
Oracle's OCI deploys thousands of NVIDIA Blackwell GPUs
-- Oracle (NYSE:ORCL) announced Monday the deployment of thousands of NVIDIA (NASDAQ:NVDA) Blackwell GPUs, marking a significant enhancement of its Oracle Cloud Infrastructure (OCI). The first wave of liquid-cooled NVIDIA GB200 NVL72 racks has been set up and optimized in Oracle's data centers, ready for customer use. These deployments are aimed at developing and running advanced reasoning models and AI agents on the NVIDIA DGX Cloud and OCI. The state-of-the-art GB200 deployment by Oracle includes high-speed NVIDIA Quantum-2 InfiniBand and NVIDIA Spectrum-X Ethernet networking. This setup is designed to enable scalable, low-latency performance and comes with a full stack of software and database integrations from NVIDIA and OCI. The integration is poised to offer customers enhanced capabilities for AI applications. OCI is among the first to deploy NVIDIA GB200 NVL72 systems and is planning to build one of the world's largest Blackwell clusters. With ambitions to scale OCI Superclusters beyond 100,000 NVIDIA Blackwell GPUs, OCI aims to meet the growing demand for inference tokens and accelerated computing. This move comes as AI innovation accelerates, with several companies, including OpenAI, releasing new reasoning models in recent weeks. The NVIDIA Grace Blackwell systems, including those now online at OCI, are transforming cloud data centers into AI factories. These factories are designed to produce intelligence at scale, leveraging the NVIDIA GB200 NVL72 platform. The platform combines NVIDIA Grace CPUs and Blackwell GPUs, offering high performance and energy efficiency for AI powered by advanced reasoning models. OCI is offering flexible deployment options for the Blackwell GPUs, catering to a wide range of customers including public, government, and sovereign clouds, as well as customer-owned data centers through OCI Dedicated Region and OCI Alloy. Several customers, including major technology companies, enterprise customers, government agencies and contractors, and regional cloud providers, are planning to deploy workloads immediately on the OCI GB200 systems. These deployments will support a variety of projects, from training reasoning models to accelerating chip design. The GB200 NVL72 racks are now live and available for use from NVIDIA DGX Cloud and OCI, providing optimized platforms with software, services, and technical support for the development and deployment of AI workloads. Related articles Oracle's OCI deploys thousands of NVIDIA Blackwell GPUs Wells Fargo starts Zillow and Compass with equal-weight rating Barclays starts coverage of retailers: Gildan Activewear at Buy, Kohl's at Sell
TECHx
17-04-2025
- Business
- TECHx
SandboxAQ Advances AI Research with NVIDIA DGX Collaboration
SandboxAQ has announced a collaboration with NVIDIA to drive faster innovation across industries. The company is leveraging the power of NVIDIA DGX to build advanced AI models that support breakthroughs in biopharma, chemicals, materials, finance, cybersecurity, navigation, and medical imaging. As a member of the NVIDIA Inception program, SandboxAQ is developing a next-generation Large Quantitative Model (LQM) platform. Built on NVIDIA DGX, this platform is designed to solve complex scientific and business problems with more speed, scale, and precision. With this collaboration, SandboxAQ is improving customer outcomes across several areas. First, drug, chemical, and materials development is becoming faster. Using NVIDIA DGX, SandboxAQ can reduce discovery cycles from years to weeks. This is done through simulations that replace slow lab experiments, helping teams test and validate new ideas quickly. Second, the partnership enables the creation of high-quality scientific datasets. By combining chemical and biological simulations, SandboxAQ can detect interactions that were previously hard to identify. These datasets improve model accuracy and reduce false positives. Third, a new AI Chemist powered by LQMs and NVIDIA DGX is transforming how discoveries are made. This tool can explore millions of chemical pathways automatically, allowing researchers to find new molecules and optimize compounds more efficiently. The collaboration builds on earlier success. In 2024, the companies achieved an 80x acceleration in quantum chemistry calculations using CUDA-accelerated DMRG. In 2025, they published research showing orbital optimization on a system with 82 electrons and 82 orbitals—double the size of previous simulations. This joint effort has broad impact. In healthcare, SandboxAQ helps pharma companies speed up preclinical testing. In materials science, it supports the development of sustainable processes and energy storage. In cybersecurity, it enables better modeling and prediction. The core advantage lies in SandboxAQ's LQMs. These AI models reflect the laws of science and economics. They provide deterministic and reliable outputs, unlike general-purpose AI models. This makes them ideal for high-stakes environments. According to Jack Hidary, CEO of SandboxAQ, the collaboration gives customers a clear advantage. 'By building on NVIDIA DGX, we help our customers innovate faster and lead with confidence,' he said. Alexis Bjorlin, Vice President of NVIDIA DGX Cloud, added, 'SandboxAQ is setting new standards in AI-native science. With NVIDIA DGX, they can deliver performance at scale and solve real-world problems.' This partnership highlights how advanced AI and high-performance computing are reshaping R&D. With NVIDIA DGX, SandboxAQ is unlocking new levels of discovery and impact across industries.
Channel Post MEA
16-04-2025
- Business
- Channel Post MEA
SandboxAQ Leverages NVIDIA DGX Cloud To Fuel Scientific Discovery
SandboxAQ has announced a collaboration with NVIDIA to accelerate breakthrough innovations across biopharma, chemicals, advanced materials, financial services, cybersecurity, navigation, and medical imaging. SandboxAQ, a member of the NVIDIA Inception program, is leveraging the NVIDIA DGX Cloud AI platform on Google Cloud to build a state-of-the-art Large Quantitative Model (LQM) platform, fueling AI-driven scientific discovery. SandboxAQ is now uniquely positioned to help customers tackle the most complex and consequential business challenges through its LQMs – delivering breakthroughs where traditional models have fallen short – while offering unparalleled speed, scalability, and precision. This collaboration enables SandboxAQ to unlock critical breakthroughs specifically designed to transform customer outcomes, including: Up to 4x Faster Discovery Across Drug, Chemical, and Materials Pipelines: Accelerated by NVIDIA DGX Cloud, SandboxAQ replaces slow, resource-intensive design-make-test cycles with high-performance, equation-based simulations – reducing discovery timelines from months to weeks. Enhanced modeling capabilities support simultaneous optimization across multiple parameters, enabling faster validation of promising candidates and accelerating breakthroughs with greater confidence. Accelerated by NVIDIA DGX Cloud, SandboxAQ replaces slow, resource-intensive design-make-test cycles with high-performance, equation-based simulations – reducing discovery timelines from months to weeks. Enhanced modeling capabilities support simultaneous optimization across multiple parameters, enabling faster validation of promising candidates and accelerating breakthroughs with greater confidence. Breakthrough Datasets, Curated with DGX Cloud: SandboxAQ is generating high-fidelity scientific datasets, combining chemical and biological simulations. These methods leverage equation-based LQM models to reveal interactions between small molecules and complex biological targets that were previously difficult to detect including conformer libraries for generative chemistry and synthetic affinity data for training predictive models. By powering causal knowledge graphs and more accurate molecular design, these datasets reduce false positives and improve success rates across the R&D pipeline. SandboxAQ is generating high-fidelity scientific datasets, combining chemical and biological simulations. These methods leverage equation-based LQM models to reveal interactions between small molecules and complex biological targets that were previously difficult to detect including conformer libraries for generative chemistry and synthetic affinity data for training predictive models. By powering causal knowledge graphs and more accurate molecular design, these datasets reduce false positives and improve success rates across the R&D pipeline. Agentic AI Chemist – A New Era of Autonomous Discovery: SandboxAQ's AI Chemist combines and orchestrates multiple LQMs to transform the scale of the research and development process. It autonomously explores millions of potential chemical pathways, far beyond what a human chemist could evaluate, enabling the discovery of novel molecules and the optimization of compounds for clinical and scale up success. Research Breakthroughs Today's announcement builds on previous collaboration between SandboxAQ and NVIDIA: 2024 Breakthrough : SandboxAQ and NVIDIA achieved an 80x acceleration in quantum chemistry calculations using CUDA-accelerated Density Matrix Renormalization Group (DMRG), enabling accurate simulation of enzyme active sites and complex catalysts previously impossible due to computational limitations. : SandboxAQ and NVIDIA achieved an using CUDA-accelerated Density Matrix Renormalization Group (DMRG), enabling accurate simulation of enzyme active sites and complex catalysts previously impossible due to computational limitations. 2025 Breakthrough : In the newly published joint research paper, 'Orbital Optimization of Large Active Spaces via AI-Accelerators,' for the first time, researchers successfully performed orbital optimization on a system with 82 electrons in 82 orbitals – more than doubling the size of simulations compared to previous works. This groundbreaking advance for GPU accelerated quantum chemistry calculations pushes the capabilities for molecular simulations into a regime that has thus far been entirely out of reach, with potentially far-reaching implications in catalysis, material science and high-dimensional parameter optimization. Transformative Impact Across Key Customer Domains SandboxAQ's enhanced capabilities deliver strategic outcomes across customer innovation and critical workflows: Biopharma and Healthcare : Proven track record of accelerating preclinical pipelines for pharma companies by rapidly generating and optimizing therapeutic candidates based on significantly improved predictability of drug efficacy and safety. : Proven track record of accelerating preclinical pipelines for pharma companies by rapidly generating and optimizing therapeutic candidates based on significantly improved predictability of drug efficacy and safety. Chemicals and Materials : Enabling deeper, faster exploration and validation of sustainable chemical processes to unlock carbon and hydrogen utilization as well as next-generation energy storage technologies. : Enabling deeper, faster exploration and validation of sustainable chemical processes to unlock carbon and hydrogen utilization as well as next-generation energy storage technologies. Cybersecurity and Strategic Infrastructure: Leveraging advanced modeling and predictive capabilities to enhance agility, strengthen resilience, and support proactive cybersecurity postures. Pioneering How Organizations Can Effectively Leverage AI SandboxAQ is pioneering a new category of enterprise AI through its proprietary Large Quantitative Models (LQMs), a platform specifically engineered to solve massively complex, high-stakes problems where precision and deterministic outputs are critical. Unlike generalized frontier models, SandboxAQ's LQMs are designed to reflect the underlying laws of physics, chemistry, biology, and economics – enabling outcomes that are not just predictive, but scientifically reliable. In fields like drug discovery, SandboxAQ trains LQMs on high-fidelity, domain-specific datasets to dramatically improve accuracy, reduce false positives, and accelerate the path from hypothesis to therapeutic insight. This focus on scientifically grounded, application-specific modeling sets SandboxAQ apart, empowering organizations to unlock value in areas where conventional AI simply cannot deliver. 'Our expanded work with NVIDIA accelerates our customers' ability to innovate and lead in their fields,' said Jack Hidary , CEO of SandboxAQ. 'By developing our platform on NVIDIA DGX Cloud and continuing our research collaboration, SandboxAQ will deliver a level of performance and insight that gives our customers a clear edge in accelerating innovation.' 'SandboxAQ is pushing the boundaries of AI-native science,' said Alexis Bjorlin , Vice President of NVIDIA DGX Cloud. 'NVIDIA DGX Cloud provides an AI development platform with essential scale and optimized application performance, empowering SandboxAQ to deliver cutting-edge capabilities and drive real-world impact for organizations tackling society's most critical challenges.' 0 0
Associated Press
15-04-2025
- Business
- Associated Press
SandboxAQ Unlocks New Capabilities for Scientific Discovery and Enterprise Innovation with NVIDIA DGX Cloud
4x faster discovery through a new class of enterprise AI – Large Quantitative Models (LQMs) –built to rethink how the world solves its hardest problems PALO ALTO, Calif., April 15, 2025 /PRNewswire/ -- SandboxAQ today announced a collaboration with NVIDIA to accelerate breakthrough innovations across biopharma, chemicals, advanced materials, financial services, cybersecurity, navigation, and medical imaging. SandboxAQ, a member of the NVIDIA Inception program, is leveraging the NVIDIA DGX Cloud AI platform on Google Cloud to build a state-of-the-art Large Quantitative Model (LQM) platform, fueling AI-driven scientific discovery. SandboxAQ is now uniquely positioned to help customers tackle the most complex and consequential business challenges through its LQMs – delivering breakthroughs where traditional models have fallen short – while offering unparalleled speed, scalability, and precision. This collaboration enables SandboxAQ to unlock critical breakthroughs specifically designed to transform customer outcomes, including: Research Breakthroughs Today's announcement builds on previous collaboration between SandboxAQ and NVIDIA: Transformative Impact Across Key Customer Domains SandboxAQ's enhanced capabilities deliver strategic outcomes across customer innovation and critical workflows: Pioneering How Organizations Can Effectively Leverage AI SandboxAQ is pioneering a new category of enterprise AI through its proprietary Large Quantitative Models (LQMs), a platform specifically engineered to solve massively complex, high-stakes problems where precision and deterministic outputs are critical. Unlike generalized frontier models, SandboxAQ's LQMs are designed to reflect the underlying laws of physics, chemistry, biology, and economics – enabling outcomes that are not just predictive, but scientifically reliable. In fields like drug discovery, SandboxAQ trains LQMs on high-fidelity, domain-specific datasets to dramatically improve accuracy, reduce false positives, and accelerate the path from hypothesis to therapeutic insight. This focus on scientifically grounded, application-specific modeling sets SandboxAQ apart, empowering organizations to unlock value in areas where conventional AI simply cannot deliver. 'Our expanded work with NVIDIA accelerates our customers' ability to innovate and lead in their fields,' said Jack Hidary, CEO of SandboxAQ. 'By developing our platform on NVIDIA DGX Cloud and continuing our research collaboration, SandboxAQ will deliver a level of performance and insight that gives our customers a clear edge in accelerating innovation.' 'SandboxAQ is pushing the boundaries of AI-native science,' said Alexis Bjorlin, Vice President of NVIDIA DGX Cloud. 'NVIDIA DGX Cloud provides an AI development platform with essential scale and optimized application performance, empowering SandboxAQ to deliver cutting-edge capabilities and drive real-world impact for organizations tackling society's most critical challenges.' About SandboxAQ SandboxAQ is a B2B company delivering solutions at the intersection of AI and quantum techniques. The company's Large Quantitative Models (LQMs) deliver critical advances in life sciences, financial services, navigation, and other sectors. The company emerged from Alphabet Inc. as an independent, growth-backed company funded by leading investors and strategic partners including funds and accounts advised by T. Rowe Price Associates, Inc., Alger Management, IQT, US Innovative Technology Fund, S32, Paladin Capital, BNP Paribas, Hillspire, Breyer Capital, Ray Dalio, Marc Benioff, Thomas Tull, Yann LeCun, and others. For more information, visit View original content to download multimedia: SOURCE SandboxAQ
Tahawul Tech
04-03-2025
- Business
- Tahawul Tech
MWC 2025: ServiceNow and NVIDIA expand collaboration designed to transform the telecoms industry
Mobile World Congress 2025: ServiceNow (NYSE: NOW), the AI platform for business transformation, has announced the introduction of AI agents for the telecom industry. The AI agents were built with NVIDIA AI Enterprise software and the AI platform, NVIDIA DGX Cloud. The agents are designed to drive productivity across the entire service lifecycle. The first use cases will put AI agents to work for communications service providers (CSPs) to autonomously solve some of the most common, labor‑intensive workflows in customer service and network operations. The combination of ServiceNow's AI platform with NVIDIA NIM microservices and NVIDIA NeMo, both part of NVIDIA AI Enterprise, brings industry‑specific, out‑of‑the‑box AI agents and delivers a full‑stack agentic AI solution for CSPs to help resolve problems faster and deliver great customer experiences. AI is changing the way telecoms provide service and interact with customers, from automating routine tasks and enhancing self‑service options to enabling human agents to focus on complex issues and speed up customer response times. According to McKinsey, telecom companies could unlock up to $250 billion in value by 2040 by implementing advanced responsible AI practices[1], turning exceptional customer service into a strategic business advantage. 'AI continues to be the key driver of business transformation in telecom, and ServiceNow, working with NVIDIA, is playing a pivotal role in this shift,' said Rohit Batra, general manager and vice president for manufacturing, telecommunications, media, and technology at ServiceNow. 'The launch of new AI agents developed specifically for the telecom industry demonstrates our continued commitment to building solutions that help solve the biggest challenges facing business leaders. ServiceNow has been at the forefront of AI innovation for years, and this collaboration with NVIDIA marks the next step in delivering agentic AI‑powered automation that transforms how CSPs operate and serve their customers.' 'Telcos require AI acceleration to transform their operations,' said Chris Penrose, telco global VP of business development at NVIDIA. 'By creating NVIDIA‑powered AI agents to enhance telecom workflows for network operations and customer experience, ServiceNow is helping its customers improve efficiency, optimize costs, and enhance customer satisfaction.' Transforming operations through agentic AI New ready‑to‑use AI agents provide CSPs with automation and intelligence capabilities specifically designed to address their unique challenges—building upon the AI agents that are being rolled out to nearly 1,000 customers with GenAI capabilities on the ServiceNow Platform—and enabling them to collaborate, learn, reason, and solve problems on their own. Designed for the telecommunications industry, the AI agents use specialized frameworks and advanced reasoning to repair networks, address service disruptions, and help prevent customer issues before they happen. These AI agents take intelligent, context‑aware actions that work across the service lifecycle, including: Service test and repair : Offers faster, more seamless issue resolution. AI agents analyze network data, diagnose issues, recommend solutions, and coordinate repair actions, including field engineer scheduling. : Offers faster, more seamless issue resolution. AI agents analyze network data, diagnose issues, recommend solutions, and coordinate repair actions, including field engineer scheduling. Network incident analysis: Leverages AI to detect network alerts, identify the root cause, and resolve service disruptions faster. AI agents generate resolution playbooks and help predict potential network disruptions before they impact customers, helping CSPs reduce resolution time and improve customer satisfaction. Leverages AI to detect network alerts, identify the root cause, and resolve service disruptions faster. AI agents generate resolution playbooks and help predict potential network disruptions before they impact customers, helping CSPs reduce resolution time and improve customer satisfaction. Billing resolution: AI agents autonomously identify unusual usage patterns, provide real‑time charge explanations, and recommend more cost‑effective plans. By improving transparency and reducing unexpected charges, CSPs can reduce billing complaints and call center volume. A collaboration built for the future of the telecom industry ServiceNow and NVIDIA are expanding their collaboration on AI‑powered automation solutions by introducing vertical‑specific agentic AI solutions to drive productivity, improve customer experiences, and simplify operations. 'By combining ServiceNow's AI‑driven platform with NVIDIA's advanced AI technology, CSPs are equipped with intelligent automation that enhances network operations and customer service,' said John Byrne, Research Vice President, Communications Service Provider Operations & Monetization industry practice, IDC. 'This collaboration has the potential to enable telecom providers to drive faster resolutions, improve reliability, and enhance customer experiences at scale.' These innovations build on last year's announcement of Now Assist for Telecommunications Service Management (TSM)—a breakthrough solution that helps telcos put AI to work across customer service and network operations to enhance agent productivity, accelerate service resolution, and improve customer experience. Since then, ServiceNow has worked closely with NVIDIA to embed agentic AI‑driven automation into the core of telecom operations, allowing providers to further improve efficiency and deliver better customer experiences with the assistance of autonomous AI agents. Managing AI agent performance Agentic AI without unification creates complexity. ServiceNow's recently announced AI Agent Orchestrator acts as the central control tower for all AI agents, helping to ensure teams of specialized AI agents work together across tasks, systems, and departments to achieve a specific goal. For use cases beyond the out‑of‑the‑box AI agents, the recent introduction of AI Agent Studio empowers enterprises across industries to build and refine custom workflows without complex coding, making it easier to put agentic AI capabilities to work for their specific operational challenges. Workflow Data Fabric serves as the foundation for this agentic AI innovation, seamlessly connecting enterprise‑wide data to power intelligent automation. By accessing both structured and unstructured data wherever it resides, ServiceNow AI Agents can drive smarter decisions and deliver meaningful business outcomes. Availability
