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Primeur weekly 2019-08-26

Quantum computing

Atos and C-DAC sign Cooperation Agreement for global advancement in Quantum Computing, Artificial Intelligence and Exascale Computing in India ...

Quantum computers to become portable ...

Detraction-free light-matter interaction ...

A University of Massachusetts researcher is shaping the future of technology ...

Schrödinger's cat with 20 qubits ...

Focus on Europe

Registration opens for HPC User Forums at CSCS and EPCC ...

EXDCI to issue Call for Proposals for project spin-off ...

PRACE Autumn School 2019 to address Big Data and HPC ...

Hardware

IBM demonstrates commitment to open hardware movement ...

HPE builds NASA new supercomputer to support future human mission to moon ...

Xilinx announces the world's largest FPGA featuring 9 million system logic cells ...

NetApp provides faster, more efficient solution for analytics and HPC applications ...

Applications

Katharine Cahill named mentor for NSF XSEDE Campus Champion Fellow ...

First Monterey Data Conference does deep dive into Deep Learning for Science ...

Researchers get first microscopic look at a tiny phenomenon with big potential implications ...

Computer model could help test new sickle cell drugs ...

NJIT's Bipin Rajendran is named a Senior Member of the National Academy of Inventors ...

Sofja Kovalevskaja Award brings superconducting spintronics expertise to Konstanz ...

eScience Center and SURF to organize workshop on Machine Learning ...

XSEDE supercomputers aid in novel simulations of X-ray laser research laser pulse visualizations powered by SDSC and TACC supercomputers ...

The Cloud

NVIDIA and VMware to accelerate machine learning, data science and AI workloads on VMware Cloud on AWS accelerated by NVIDIA GPUs ...

VMware announces VMware Tanzu portfolio to transform the way enterprises build, run and manage software on Kubernetes ...

IBM developing new Cloud services and technology to help keep data secured from future fault-tolerant quantum computers ...

NVIDIA and VMware to accelerate machine learning, data science and AI workloads on VMware Cloud on AWS accelerated by NVIDIA GPUs

26 Aug 2019 San Francisco - NVIDIA and VMware intend to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the Cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications.

Increasingly businesses are applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings. Enterprises are rapidly adopting AI and implementing new AI strategies that require powerful computers to create predictive models from petabytes of corporate data. Across industries, enterprises are implementing machine learning applications such as image and voice recognition, advanced financial modeling and natural language processing using neural networks that rely on NVIDIA GPUs for faster training and real-time inference. Additionally, VMware recently acquired Bitfusion, which enables VMware to efficiently make GPU capabilities available for AI and machine learning workloads in the enterprise.

Through this partnership, VMware Cloud on AWS customers will gain access to a new, highly scalable and secure Cloud service consisting of Amazon EC2 bare metal instances to be accelerated by NVIDIA T4 GPUs, and new NVIDIA Virtual Compute Server (vComputeServer) software.

"From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to make fast, accurate predictions that directly impact their bottom line", stated Jensen Huang, founder and CEO, NVIDIA. "Together with VMware, we're designing the most advanced GPU infrastructure to foster innovation across the enterprise, from virtualization, to hybrid Cloud, to VMware's new Bitfusion data centre disaggregation."

"Our customers are embracing the unique value of VMware Cloud on AWS to accelerate the migration and modernization of business-critical applications", stated Pat Gelsinger, CEO, VMware. "Through new innovations driven by partnerships we have with industry leaders such as NVIDIA and AWS, we will bring best-in-class GPU acceleration services for the most intense data-driven workloads and modern applications across the hybrid Cloud."

Once these services become available, businesses will be able to leverage an enterprise-grade hybrid Cloud platform to accelerate application modernization. They will be able to unify deployment, migration and operations across a consistent VMware infrastructure from data centre to the AWS Cloud in support of most compute-intensive workloads, including AI, machine learning and data analytics. Benefits will include:

  • Seamless portability: Customers will be able to move workloads powered by NVIDIA vComputeServer software and GPUs with a single click of a button, and no downtime, using VMware HCX. This will give customers more choice and flexibility to execute training and inference in the Cloud or on-premises.
  • Elastic AWS infrastructure: With the ability to automatically scale VMware Cloud on AWS clusters, accelerated by NVIDIA T4, administrators will be able to grow or shrink available training environments depending on the needs of their data scientists.
  • Accelerated computing for modern applications: NVIDIA T4 GPUs feature Tensor Cores for acceleration of deep learning inference workflows. When these are combined with vComputeServer software for GPU virtualization, businesses have the flexibility to run GPU-accelerated workloads like AI, machine learning and data analytics in virtualization environments for improved security, utilization and manageability.
  • Consistent Hybrid Cloud Infrastructure and Operations: With VMware Cloud on AWS, organisations can establish consistent infrastructure and consistent operations across the hybrid Cloud, leveraging VMware industry-standard vSphere, vSAN and NSX as a foundation for modernizing business-critical applications. IT operators will be able to manage GPU-accelerated workloads within vCenter, alongside GPU-accelerated workloads running on vSphere on-premises.
  • Seamless, end-to-end data science and analytics pipeline: The NVIDIA T4 data center GPU supercharges mainstream servers and accelerates data science techniques using NVIDIA RAPIDS, a collection of NVIDIA GPU acceleration libraries for data science including deep learning, machine learning and data analytics.
Source: VMware

Back to Table of contents

Primeur weekly 2019-08-26

Quantum computing

Atos and C-DAC sign Cooperation Agreement for global advancement in Quantum Computing, Artificial Intelligence and Exascale Computing in India ...

Quantum computers to become portable ...

Detraction-free light-matter interaction ...

A University of Massachusetts researcher is shaping the future of technology ...

Schrödinger's cat with 20 qubits ...

Focus on Europe

Registration opens for HPC User Forums at CSCS and EPCC ...

EXDCI to issue Call for Proposals for project spin-off ...

PRACE Autumn School 2019 to address Big Data and HPC ...

Hardware

IBM demonstrates commitment to open hardware movement ...

HPE builds NASA new supercomputer to support future human mission to moon ...

Xilinx announces the world's largest FPGA featuring 9 million system logic cells ...

NetApp provides faster, more efficient solution for analytics and HPC applications ...

Applications

Katharine Cahill named mentor for NSF XSEDE Campus Champion Fellow ...

First Monterey Data Conference does deep dive into Deep Learning for Science ...

Researchers get first microscopic look at a tiny phenomenon with big potential implications ...

Computer model could help test new sickle cell drugs ...

NJIT's Bipin Rajendran is named a Senior Member of the National Academy of Inventors ...

Sofja Kovalevskaja Award brings superconducting spintronics expertise to Konstanz ...

eScience Center and SURF to organize workshop on Machine Learning ...

XSEDE supercomputers aid in novel simulations of X-ray laser research laser pulse visualizations powered by SDSC and TACC supercomputers ...

The Cloud

NVIDIA and VMware to accelerate machine learning, data science and AI workloads on VMware Cloud on AWS accelerated by NVIDIA GPUs ...

VMware announces VMware Tanzu portfolio to transform the way enterprises build, run and manage software on Kubernetes ...

IBM developing new Cloud services and technology to help keep data secured from future fault-tolerant quantum computers ...