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UberCloud Voice October 2015

Cloud Provider Nimbix attracts $7.5M in Series B round of funding

stevehebert_750xx1600-900-0-146Cloud computing company Nimbix has raised about $7.5 million in a Series B round of funding. The Anna/Texas-based company plans to use the capital to expand its operations to include a second data center, expand its team inside and outside Dallas-Fort Worth and build out its cloud and capabilities. The raise, which closed Oct. 1, included equity and debt. “This is a market that has been emerging over the past few years with the emergence of big data and analytics,” said CEO Steve Hebert, adding that big data and analytics require high-performance processing. “That’s what our platform, JARVICE, enables us to do.”

Silicon Valley Business Journal: UberCloud one of the three top start-ups at Plug & Play Fall Exhibition

ubercloud_180xx2448-1837-0-60At this year’s Fall Exhibition organized by Silicon Valley start-up incubator Plug & Play Tech Center in Sunnyvale, Burak Yenier, CEO of UberCloud, presented his company’s profile to almost 500 institutional and angel investors. Burak described UberCloud as “a community and marketplace platform to discover, try and buy computing services. It has more than 2,500 companies and individuals from 72 countries, along with hundreds of consulting firms and individual experts.” Among the 30+ start-ups attendees voted UberCloud among the three top start-ups. Check out the 3 top startups from Plug and Play’s fall expo and read the story in the Silicon Valley Business Journal HERE.

Webinar: What’s the Best Tool for My CAE Simulation: Workstation, Server, or Cloud?

WebinarFinding a computing structure for your CAE is overwhelming considering the vast provider options for HPC workstations, servers, and cloud computing.

In this live webinar, you will learn about:

  • – The pros, cons, challenges and costs of workstations vs. servers vs. cloud computing
  • – UberCloud CAE case studies on different computing options
  • – Computing resources, lessons learned and recommendations

Watch the replay of this Engineering.com sponsored Webinar from October 21, 2015, HERE.

Stanford Accelerates Solar Car with Sabalcore HPC Cloud

car-300x220The Stanford Solar Car Project is using the Sabalcore HPC Cloud to significantly improve aerodynamics for their entry in the 2015 World Solar Challenge. “We are very excited to sponsor the Stanford Solar Car Project. We are convinced that young talent, with fresh ideas and extraordinary commitment, is tremendously important for the future,” said John Van Workum, CEO of Sabalcore Computing. “It is of great interest to us to support this commitment and upcoming engineers. This underlines Sabalcore’s commitment to provide the computing resources necessary to enable those with new solutions to solve tough engineering problems.” Read the article on insideHPC HERE.

Cloud and Ice meet for SC15: UberCloud and Nordic Advania Cloud

AdvaniaReykjavík – HPC in the Cloud company Advina published a case study about “Integrating with UberCloud, the online cloud community for engineers and scientists”. An Advania Qstack Cloud Service demo account was created and the Advania control panel was used as the primary method of infrastructure administration for a Proof of Concept study, using Platinum 3x Large instances with specifications: 16 virtual CPU cores; 61 GB RAM; 20 GB disk was selected. The Advania instances were accessed via SSH, and the Docker run time environment was set up. The UberCloud OpenFOAM container was pulled from the UberCloud private registry. Read more on the Advania Website HERE.

CloudyCluster spins up HPC clusters on AWS from your mobile device

CloudyClusterOmnibond just announced the release of CloudyCluster running in the AWS Marketplace, establishing a new level of HPC research and discovery available to everyone. In a move toward democratizing computational science and discovery, Omnibond LLC has released CloudyCluster, a tool providing easy access to High Performance Computing (HPC) resources in the AWS Cloud. Although HPC is traditionally the domain of computer scientists and data center administrators, CloudyCluster gives researchers and other Big Data crunchers direct access to HPC resources, so they can process large data sets and achieve faster results. Running on Red Hat Enterprise Linux, users can spin up clusters from mobile devices with CloudyCluster, paying only for the compute and storage resources used. Read the announcement on HPCwire HERE.

Amazon AWS Launches Container Services

AWS Container ServiceAmazon Web Services (AMZN) beefed up the Docker application container infrastructure this week with the roll out of a container registry and interface tool designed to scale and rapidly update micro-services and distributed applications. The AWS registry coupled with a new container service interface illustrate how far the Docker container ecosystem has come in just over a year. The new service supports Docker and enables you to run and manage Docker containers across a cluster of Amazon EC2 instances. Each EC2 instance in a cluster managed by Amazon Container Service runs a Docker daemon, so whatever application you package as a container locally will deploy and run on Amazon ECS without the need for any configuration changes. This is all good news for our UberCloud customers who already use UberCloud’s application containers for ANSYS, CD-adapco, NUMECA, OpenFOAM, and other containerized CAE software. Read the full article in EnterpriseTech HERE.

Cloud-based simulation comes to Autodesk Fusion 360

6a017c3334c51a970b01b7c7d03c1c970b-800wi_ljsq5m[1]Fusion 360 has added simulation to its cloud-based platform. This will combine CAD, CAM and CAE capabilities into one integrated workflow. As a result, Fusion 360 comes full circle as a multi-discipline tool. The simulation capabilities include linear stress and modal analysis, and thermal and fatigue analysis will be included in future releases. The task of assigning loads, material properties and boundary conditions will all be within the familiar Fusion 360 user interface. “Simulation traditionally takes multiple software tools and hours of work. Not so with Fusion 360,” said Kevin Schneider, director of Fusion 360 at Autodesk. “We made it powerful, but drop-dead simple.” Read the full engineering.com article HERE.

Webinar – Scale up your ANSYS workload in the cloud

OzenCloud-300x209If your compute environment is too small to handle big ANSYS workloads then join us as we discuss OzenCloud and it’s unparalleled performance. This webinar will offer a step-by-step guided presentation to performing ANSYS simulations on our private and secure ANSYS servers. In the first 15 minutes of the webinar, you will learn about OzenCloud’s ANSYS offering. Next 30 minutes will be a step by step, guided demonstration for all participants who are interested in learning how to scale ANSYS on OzenCloud. We will reserve the last 15 minutes for your questions. This webinar is co-organized by Ozen Engineering and UberCloud. To register for this webinar, please visit our registration page below. Join the Webinar on October 7 or 14, 2015, at 11:00AM – 12:00PM PST or another upcoming session.HERE.

Nvidia GPUs bring supercomputing to the Azure Cloud

Microsoft AzureNvidia just announced that Microsoft will offer NVIDIA GPU-enabled professional graphics applications and accelerated computing capabilities through Microsoft Azure. The Tesla Accelerated Computing Platform is designed from the ground up for power-efficient, HPC, computational science, supercomputing, data analytics and deep learning applications. By deploying the Tesla K80 GPU accelerator in its N-Series virtual machines, Azure dramatically expands access to supercomputing-class performance, enabling enterprises worldwide to accelerate their most demanding workloads, without requiring them to invest in, build and maintain dedicated computing resources.

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