To be able to pull insights from this data, enterprises need substantial compute power and the right tools and algorithms for its teams, from IT to developers. And now, more than ever, executives need to transform their businesses while ensuring positive ROI and a scalable infrastructure.
Access this page to learn how Azure high-performance computing (HPC) is a complete set of computing, networking, and storage resources integrated with workload orchestration services for HPC application that help drive intelligent decision making.
Learn how Riskfuel was able to accelerate the valuation of over-the-counter (OTC) derivatives by 20 million times with the help of Azure GPU’s.
Learn how a task force of NVIDIA computer scientists has joined the COVID-19 High Performance Computing Consortium to accelerate research using the world’s most powerful HPC resources.
Learn how the ND A100 v4 VM series and clusters will become a standard offering in the Azure portfolio, allowing anyone to unlock the potential of AI at scale in the cloud.
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Read this paper to learn how Riskfuel, a startup developing fast derivatives models based on artificial intelligence (AI), will transform the OTC derivative market with the help of NVIDIA GPU-powered VM instances.
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This paper explains the many ways providing BIM managers and design engineers anywhere-access to GPU-intensive apps and project data transforms the business.
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Access this paper to learn why TBI moved to Azure and NVIDIA and how it allowed their employees to work together in real time, from any location while enjoying a highly optimized 3D user experience on any device.
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Learn how Dudek reduced image processing time from five days to six houses and accelerated the decision making required to save lives by using Workspot Workstation Cloud on Microsoft Azure.
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Read this paper for an introduction to significant updates to ONNX Runtime, an open source project that is designed to accelerate machine learning across a wide range of frameworks, operating systems, and hardware platforms.
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This paper explains how a GPU-enabled Windows Virtual Desktop instance running Windows 10 multi-session provides a better user experience while supporting more sessions when compared to a CPU-only enabled VM.
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Learn how Whiteboard Coordinator Inc, a startup that had a network of 400 cameras and other sensors deployed across Northwestern's 10 hospitals before the pandemic, aims to make hospitals more efficient while keeping them safer as well.
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Hospitals and other healthcare institutions all over the world have had to adapt quickly to a situation that is evolving every day. Learn how professors at IRCCS San Raffaele Hospital in Italy have been working towards an detecting the most at risk patients first with Microsoft AI.
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Read this paper to learn how containers carry work on the coronavirus to calculate atomic interactions at a scale never before attempted for the virus at UC Riverside to the power of NVIDIA GPUs in the Microsoft Azure cloud.
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Access this paper to learn how AI for Health is a new $60 million, five-year philanthropic program from Microsoft, created to empower nonprofits, researchers, and organizations tackling some of the toughest challenges in global health.
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Learn how a task force of NVIDIA computer scientists has joined the COVID-19 High Performance Computing Consortium, which brings together leaders from the U.S. government, industry and academia to accelerate research using the world's most powerful HPC resources.
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Read this case study to learn how Mead & Hunt, a trusted partner specializing in design and engineering for a diverse set of infrastructure and transportation projects, deployed workstations in the cloud with the help of Microsoft Azure using the N series GPUs.
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Learn how Scotiabank's risk engine combines a mathematical technique known as adjoint algorithmic differentiation, or AAD, with deep neural networks, a branch of artificial intelligence – a mashup the bank claims is a first.
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