August 17, 2015

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

August 17, 2015

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

Comments

September 24th, 2015 at 6:26am

Hi Betsy, I work for an Australian IBM business partner called ISW. One of my clients is the University of Adelaide. They're participating in the Imagenet competition and they've registered to use the free K80 GPUs on Softlayer. They're keen to know if there's any possibility of some additional resources to help them complete their testing. Do you have a technical contact in Softlayer that I could email about this? ....regards Tim Kenneally

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Comments

September 24th, 2015 at 6:26am

Hi Betsy, I work for an Australian IBM business partner called ISW. One of my clients is the University of Adelaide. They're participating in the Imagenet competition and they've registered to use the free K80 GPUs on Softlayer. They're keen to know if there's any possibility of some additional resources to help them complete their testing. Do you have a technical contact in Softlayer that I could email about this? ....regards Tim Kenneally

Leave a Reply

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.