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Iceland’s Verne Global Steps up to run HPC & AI Workloads in the Cloud

In this video from the GPU Technology Conference, Bob Fletcher from Verne Global discusses why more and more HPC & AI workloads are moving to the company’s datacenters in Iceland. “Today’s computational environments are changing rapidly as more companies are looking to utilize HPC and intensive applications across an increasingly wide variety of industries. At Verne Global we have fully optimized our campus to meet the specific requirements of the international HPC community.”

How ZIFF Powers AI with Dell EMC Technologies

In this video from the GPU Technology Conference, David Gonzolez from Ziff describes how Dell EMC powers AI solutions at his company. “ZIFF is unique in its approach to Ai. By focusing on empowering product visionaries and software engineers, ZIFF can help organizations fully unlock the insights and automation trapped within their unstructured data.” To accelerate it’s unstructured database technology, Ziff uses the Dell PowerEdge C4140, which allows them meet the demands of cognitive computing workloads with a dense, accelerator-optimized 1U server supporting 4 GPUs and superior thermal efficiency.

The UberCloud becomes ANSYS Advanced Solution Partner

Wolfgang Gentzsch writes that The UberCloud has just received the highest technology partnership level as an ANSYS Advanced Solution Partner. “Achieving this elevated partnership status has been the natural evolution of UberCloud’s collaboration with ANSYS. Back in 2012 ANSYS and UberCloud started working together with our CAE Cloud experiments. This resulted in over 30 experiments and case studies, which are made freely available to the CAE community in the ANSYS Compendium of Case Studies.”

Video: Deploy HPC Applications Faster with NVIDIA GPU Cloud

The HPC application containers available on NVIDIA GPU Cloud (NGC) drastically improve ease of application deployment, while delivering optimized performance. The containers include HPC applications such as NAMD, GROMACS, and Relion. NGC gives researchers and scientists the flexibility to run HPC application containers on NVIDIA Pascal­ and NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX Systems, and HPC clusters.

Video: VMware powers HPC Virtualization at NVIDIA GPU Technology Conference

In this video from from 2018 GPU Technology Conference, Ziv Kalmanovich from VMware and Fred Devoir from NVIDIA describe how they are working together to bring the benefits of virtualization to GPU workloads. “For cloud environments based on vSphere, you can deploy a machine learning workload yourself using GPUs via the VMware DirectPath I/O or vGPU technology.”

Amazon SageMaker goes for “Infinitely Scalable” Machine Learning

Over at the All Things Distributed blog, Werner Vogels writes that the new Amazon SageMaker is designed for building machine learning algorithms that can handle an infinite amount of data. “To handle unbounded amounts of data, our algorithms adopt a streaming computational model. In the streaming model, the algorithm only passes over the dataset one time and assumes a fixed-memory footprint. This memory restriction precludes basic operations like storing the data in memory, random access to individual records, shuffling the data, reading through the data several times, etc.”

NVIDIA Makes Visualization Easier in the Cloud

Visualizing the results of a simulation can give new insight into complex scientific problems. Interactive viewing of entire datasets can lead to earlier understanding of the challenge at hand and can enhance the understanding of complex phenomena. With the release of the of HPC Visualization Containers with the NVIDIA CPU Cloud, it has become much easier to get a visualization system up and production ready much quicker than ever before.

Univa partners with UberCloud

Today Univa announced a new global partnership and reseller agreement with UberCloud. Under terms of the agreement, UberCloud, a leading HPC cloud provider, will resell Univa Grid Engine and related Univa products to UberCloud’s growing community of HPC customers. “By deploying packaged HPC applications in containers, and managing them with Univa Grid Engine, users become productive immediately. They can focus on their work rather than spending time troubleshooting complicated HPC software stacks.”

Singularity: The Inner Workings of Securely Running User Containers on HPC Systems

Michael Bauer from Sylabs gave this talk at FOSDEM’17. “This presentation will provide an in-depth look at how Singularity is able to securely run user containers on HPC systems. After a brief introduction to Singularity and its relationship to other container solutions, the details of Singularity’s runtime will be explored. The way that Singularity leverages Linux features such as namespaces, bind mounts, and SUID binaries will be discussed in further detail as well.”

Univa Open Sources Project Tortuga for moving HPC Workloads to the Cloud

Today Univa announced the contribution of its Navops Launch product to the open source community as Project Tortuga under an Apache 2.0 license. The free and open code is designed to help proliferate the transition of enterprise HPC workloads to the cloud. “Having access to more software that applies to a broad set of applications like high performance computing is key to making the transition to the cloud successful,” said William Fellows, Co-Founder and VP of Research, 451 Research. “Univa’s contribution of Navops Launch to the open source community will help with this process, and hopefully be an opportunity for cloud providers to contribute and use Tortuga as the on-ramp for HPC workloads.”