Posts Tagged 'Bare Metal Server'

August 17, 2015

ImageNet Machine-Vision Competitors to Receive GPU-Enabled Bare Metal Cloud Servers from SoftLayer and NVIDIA

For the first time in the history of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), this year’s qualifying participants will receive free use of bare metal cloud servers equipped with two NVIDIA Tesla K80 dual-GPU accelerators, provided by IBM Cloud and NVIDIA.

Kicking off last Friday, the ILSVRC is an annual object-detection and image-classification competition intended to advance the fields of machine learning and pattern recognition. It’s hosted by the University of North Carolina (UNC), Stanford University, and the University of Michigan.

Over the next three months, teams from around the world will compete to detect, locate, and classify patterns within a huge set of images taken from Internet sources that are tagged with metadata by human volunteers. The overall goal is to develop the most accurate image recognition algorithms with the lowest percentage of classification errors. To read more about the competition, visit NVIDIA’s recent Parallel Forall blog post and the ILSVRC 2015 home page.



Examples of ImageNet images demonstrating classification with localization.

The combination of SoftLayer servers and Tesla K80 GPUs gives teams the most powerful supercomputing cloud servers available in the marketplace today. To give you a quick overview of the specs, each bare metal cloud server comes with:

  • Two NVIDIA Tesla K80 GPU Accelerators
  • Dual Intel Xeon E5-2690 CPUs
  • 128GB RAM, and
  • Two 1TB SATA HDD/RAID 0.

By offering these cloud resources to ILSVRC teams, we’re helping pave the way for advances in the fields of machine learning and deep learning. We’re looking forward to seeing how these teams leverage our powerful, scalable, and secure cloud platform to develop innovative new methods for training deep neural networks.

Our support of this year’s ILSVRC adds to IBM’s rich legacy of providing innovative resources in the machine learning space, including IBM Watson and other software and services. ILSVRC teams are welcome to leverage third-party resources in their approaches, including the IBM Watson Visual Recognition Service, available on IBM Bluemix, and AlchemyVision from AlchemyAPI, an IBM Company.

If you’re interested in joining the competition and getting complimentary access to SoftLayer cloud servers with NVIDIA Tesla K80 GPUs, go to the ILSVRC 2015 home page and register your team. Once accepted into the competition, team leaders will be provided with access methods and credentials by NVIDIA and IBM.

And stay tuned for competition highlights as the ILSVRC continues over the next three months. Winners will be announced in November. Best of luck to all the competitors!

More About IBM Cloud Resources
While IBM Cloud is offering free resources to qualifying ILSVRC participants, the same GPU-enabled bare metal servers are also available to all of our customers in any of IBM Cloud’s SoftLayer data centers. These resources — along with SoftLayer’s high bandwidth, low-latency network, high-performance storage, and data ingestion options like Aspera, Direct Link, and data transfer service — make IBM Cloud the ideal choice for machine-learning deployments in the cloud. To learn more, visit https://www.softlayer.com/gpu.

-Betsy

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March 18, 2015

SoftLayer, Bluemix and OpenStack: A Powerful Combination

Building and deploying applications on SoftLayer with Bluemix, IBM’s Platform as a Service (PaaS), just got a whole lot more powerful. At IBM’s Interconnect, we announced a beta service for deploying OpenStack-based virtual servers within Bluemix. Obviously, the new service is exciting because it brings together the scalable, secure, high-performance infrastructure from SoftLayer with the open, standards-based cloud management platform of OpenStack. But making the new service available via Bluemix presents a particularly unique set of opportunities.

Now Bluemix developers can deploy OpenStack-based virtual servers on SoftLayer or their own private OpenStack cloud in a consistent, developer-friendly manner. Without changing your code, your configuration, or your deployment method, you can launch your application to a local OpenStack cloud on your premises, a private OpenStack cloud you have deployed on SoftLayer bare metal servers, or to SoftLayer virtual servers within Bluemix. For instance, you could instantly fire up a few OpenStack-based virtual servers on SoftLayer to test out your new application. After you have impressed your clients and fully tested everything, you could deploy that application to a local OpenStack cloud in your own data center ̶all from within Bluemix. With Bluemix providing the ability to deploy applications across cloud deployment models, developers can create an infrastructure configuration once and deploy consistently, regardless of the stage of their application development life cycle.

OpenStack-based virtual servers on SoftLayer enable you to manage all of your virtual servers through standard OpenStack APIs and user interfaces, and leverage the tooling, knowledge and process you or your organization have already built out. So the choice is yours: you may fully manage your virtual servers directly from within the Bluemix user interface or choose standard OpenStack interface options such as the Horizon management portal, the OpenStack API or the OpenStack command line interface. For clients who are looking for enterprise-class infrastructure as a service but also wish to avoid getting locked in a vendor’s proprietary interface, our new OpenStack standard access provides clients a new choice.

Providing OpenStack-based virtual servers is just one more (albeit major) step toward our goal of providing even more OpenStack integration with SoftLayer services. For clients looking for enterprise-class Infrastructure as a Service (IaaS) available globally and accessible via standard OpenStack interfaces, OpenStack-based virtual servers on SoftLayer provide just what they are looking for.

The beta is open now for you to test deploying and running servers on the new SoftLayer OpenStack public cloud service through Bluemix. You can sign up for a Bluemix 30-day free trial.

- @marcalanjones

August 26, 2014

Bare Metal Power. By the Hour.

Think quickly. You hear that your new app will be featured on the front page of TechCrunch in less than two hours. Because it’s a resource-intensive application you know that a flood of new users will bog down its current cloud infrastructure and you’ll need to scale out.

What do you do? Choose virtual servers to guarantee quick deployment and more flexibility? Opt for bare metal servers to deliver the best user experience (while crossing your fingers that the servers are online in time for the flood of traffic)? In times like these, you shouldn’t have to choose between flexibility and power.

You need hourly bare metal servers.

We’ve streamlined the deployment of four of our most popular bare metal configurations, and with that speed, we’re able to offer them with hourly billing! With the hardware pre-configured, you tell us where you want the server to be provisioned—Dallas, San Jose, Washington D.C., London, Toronto, Amsterdam, Singapore, and Hong Kong—and which operating system you’d like us to install— CentOS, Red Hat, FreeBSD, or Ubuntu. And in less than 30 minutes, your server will be online, fully integrated with your other SoftLayer servers and services, and ready for you.

Use the server for as long as you need it. Spin it down when you’re done. Pay for the hours you had it on your account. It’s that easy. No virtualization. No noisy neighbors. Just your computing-intensive workload, the hardware configuration you need, and a phobia-proof commitment.

Why you need hourly bare metal servers in your cloud life?

  • Processing Power: You have short-term workloads that require significant amounts of processing power. To get the same performance from virtual servers, you might have to provision twice as many nodes or run them for twice as long.
    • Example: a business intelligence ELT (Extract/Load/Transform) application.
  • Schedule-based Workloads: You have a number of applications that require compute and storage resources on a set schedule (i.e., once every month), and you don’t want to deploy (and pay for) high-end machines that will sit idle at all other times.
    • Example: payroll processing or claims payment processing.
  • Performance Testing: Certify or validate how an application performs on a specific hardware configuration.
    • Example: Software or mobile application companies can validate performance on specific hardware platforms.

With bare metal performance available on demand and on hourly terms, you don’t have to compromise performance for flexibility. When TechCrunch comes calling, you have peace of mind that your app’s success and popularity won’t bring it down.

-RJ

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