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Primeur weekly 2018-08-06

Focus

Univa's Navops launch product for Cloud bursting is breaking usage and performance records ...

Exascale supercomputing

Exascale Computing Project (ECP) names LLNL's Lori Diachin as new Deputy Director ...

Focus on Europe

High-resolution imaging of nanoparticle surface structures is now possible ...

Middleware

Univa announces collaboration with Sylabs Inc. and expanded support for Singularity container science ...

DDN reseller agreement with Tintri gives immediate support to Tintri customers ...

Fayetteville State University moves to Bright Cluster Manager 8.1 with help from Bright partner Data in Science to help take its Artificial Intelligence research to the next level ...

vScaler unlocks the benefits of virtualisation for GPU power users ...

Hardware

SDSC's Comet supercomputer extended into 2021 ...

BSC software makes Lenovo's new set of cooling technologies more energy efficient ...

MiTAC selects Mellanox BlueField System-on-Chip to accelerate their NVMe storage platforms ...

Mellanox introduces world's fastest Ethernet storage fabric controller ...

Cray reports second quarter 2018 financial results ...

Applications

Supercomputing the 'how' of chemical reactions ...

Preventing natural hazards from becoming societal disasters ...

Study of cardiac arrhythmia's is using high performance computing ...

UCF professor discovers a first-of-its-kind material for the quantum age ...

Memory-processing unit could bring memristors to the masses ...

Software framework designed to accelerate drug discovery wins IEEE International Scalable Computing Challenge ...

University at Buffalo's supercomputing facility awarded $2 million for economic development, PhD programme ...

The Cloud

How the Science Cloud could pay its way ...

Mirantis partners with Fujitsu to build supercomputer and wide-area distributed Cloud system for high performance computing at Hokkaido University ...

vScaler unlocks the benefits of virtualisation for GPU power users

31 Jul 2018 London - vScaler has rolled out native Virtual GPU (vGPU), empowering customers with the ability to split a single physical GPU up in to a number of smaller virtual GPUs. This approach offers greater cost-efficiency for those that don't require the full power of a dedicated GPU.

vGPU differs from PCI passthrough, which is also supported by vScaler, in that PCI passthrough has typically only been suitable for workloads that can saturate the full capability of the GPU - for example, high performance computing, deep learning and machine learning algorithms. This advancement, under vScaler, broadens the GPU capability with the hypervisor license-free virtual machines vScaler provides.

vScaler's Director of Cloud and Managed Services, Glenn Rosenberg, commented: "vScaler was created to deliver a very high-performance experience to users. vGPU enables the user to split out the immense performance of a NVIDIA GPU and assign the level of resource needed for their application, allowing other users access to the remaining GPU resources, maximising the performance and utilisation."

"By hosting NVIDIA GPU solutions within its revolutionary Cloud environment, vScaler is actively helping to broaden GPU adoption from early stage development platforms to large scale production environments", commented Alan Rogers, Enterprise Partner Business Manager, Northern Europe, NVIDIA. "With support for containerised environments such as Docker and Kubernetes, and the recent addition of vGPU support, vScaler speeds-up and simplifies the large scale deployments of GPU-accelerated applications."

The efficiency of vScaler with vGPU support greatly improves performance, compared with traditional architectures, and allows organisations to build virtual desktop infrastructures (or VDIs) that cost-effectively scale this performance for the business.

IT administrators can manage resources centrally instead of supporting higher cost physical workstations at every single desk. This virtualisation technique means the number of users can be scaled up and down based on project and needs.

With its HPC-on-Demand offering, vScaler has long supported deep learning and machine learning research requirements, enabling users to spin up deep learning clusters with the appropriate frameworks - e.g. Tensorflow, Caffe, Theano - installed and accelerated using the world's fastest NVIDIA GPUs, purpose-built to dramatically reduce training time for AI simulations.

Utilising the latest generation NVIDIA Tesla GPUs, vScaler provides the performance and flexibility for the most complex AI and deep learning tasks, including but not limited to medical imaging, genomics, bioInformatics, autonomous driving and many more. Now with native vGPU, we can complement the above workloads with high-end workstations, VDI and virtualised training environments, paving the way for vScaler as the platform of choice for 'automated everything'.

vScaler is currently offering a free trial of its GPU in the Cloud offering to customers that wish to try out GPU technology before investing. For more information on GPUs, vGPU and how the vScaler platform can revolutionise your IT infrastructure, you can visit the vScaler website.
Source: vScaler

Back to Table of contents

Primeur weekly 2018-08-06

Focus

Univa's Navops launch product for Cloud bursting is breaking usage and performance records ...

Exascale supercomputing

Exascale Computing Project (ECP) names LLNL's Lori Diachin as new Deputy Director ...

Focus on Europe

High-resolution imaging of nanoparticle surface structures is now possible ...

Middleware

Univa announces collaboration with Sylabs Inc. and expanded support for Singularity container science ...

DDN reseller agreement with Tintri gives immediate support to Tintri customers ...

Fayetteville State University moves to Bright Cluster Manager 8.1 with help from Bright partner Data in Science to help take its Artificial Intelligence research to the next level ...

vScaler unlocks the benefits of virtualisation for GPU power users ...

Hardware

SDSC's Comet supercomputer extended into 2021 ...

BSC software makes Lenovo's new set of cooling technologies more energy efficient ...

MiTAC selects Mellanox BlueField System-on-Chip to accelerate their NVMe storage platforms ...

Mellanox introduces world's fastest Ethernet storage fabric controller ...

Cray reports second quarter 2018 financial results ...

Applications

Supercomputing the 'how' of chemical reactions ...

Preventing natural hazards from becoming societal disasters ...

Study of cardiac arrhythmia's is using high performance computing ...

UCF professor discovers a first-of-its-kind material for the quantum age ...

Memory-processing unit could bring memristors to the masses ...

Software framework designed to accelerate drug discovery wins IEEE International Scalable Computing Challenge ...

University at Buffalo's supercomputing facility awarded $2 million for economic development, PhD programme ...

The Cloud

How the Science Cloud could pay its way ...

Mirantis partners with Fujitsu to build supercomputer and wide-area distributed Cloud system for high performance computing at Hokkaido University ...