AI Cloud Service

    Facility: Equipment

    • Location

      AAU Datacenter

      Aalborg Øst

      9220

      Denmark

    Equipments Details

    Description

    AI Cloud Service comprises of special infrastrature, software stack, and support activities which all gear toward artificial intelligence (AI) and GPU-based computation.

    The service runs SLURM workload manager for automatic resource allocation and supports container technologies for isolated, flexible and reproducible compute environment. Each compute node is a NVIDIA DGX2 machine which contains 16 Tesla Volta V100 GPUs (32GB RAM each), 1.5TB of RAM, 30TB of NVME (SSD) for scratch space. Total GPU computation power is around 6 PetaFLOPS.

    Please check this page to see how you can get access and use the service: https://www.claaudia.aau.dk/platforms-tools/compute/gpu-cloud-ai/

    For general computation needs that use normal CPUs in form of virtual machines to run desktop applications similar to what you would run on a single workstation, please check out our Compute Service.

    Details

    NameAI Cloud Service
    Acquisition date01/12/2018

    Fingerprint Explore the research areas in which this equipment has been used. These labels are generated based on the related outputs. Together they form a unique fingerprint.

  • Research Output

    • 5 Article in proceeding

    A Dual-arm Collaborative Robot System for the Smart Factories of the Future

    Filtenborg Buhl, J., Grønhøj, R., Kjær Jørgensen, J., Mateus, G., Pinto, D., Krunderup Sørensen, J., Bøgh, S. & Chrysostomou, D., 2019, 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. Elsevier, Vol. 38. p. 333-340 8 p. (Procedia Manufacturing).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    21 Downloads (Pure)

    Control of HVAC-systems with Slow Thermodynamic Using Reinforcement Learning

    Blad, C., Koch, S., Ganeswarathas, S., Kallesøe, C. & Bøgh, S., 2019, 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. Elsevier, Vol. 38. p. 1308-1315 8 p. (Procedia Manufacturing).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 24 Downloads (Pure)

    Self-learning Processes in Smart Factories: Deep Reinforcement Learning for Process Control of Robot Brine Injection

    Andersen, R. E., Madsen, S., Barlo, A. B. K., Blegebrønd Johansen, S., Nør, M., Andersen, R. S. & Bøgh, S., 2019, 29th International Conference on Flexible Automation and Intelligent Manufacturing: FAIM 2019. Elsevier, Vol. 38. p. 171-177 7 p. (Procedia Manufacturing).

    Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

    Open Access
    File
  • 1 Citation (Scopus)
    44 Downloads (Pure)

    Projects

    Press / Media

    NVIDIA DGX-2 AI System Plays Crucial Role in Sewer Research

    Joakim Bruslund Haurum

    30/06/2020

    1 item of Media coverage

    Press/Media: Press / Media

    Supercomputer spiller afgørende rolle i kloak-forskning

    Joakim Bruslund Haurum

    01/10/2019

    1 item of Media coverage

    Press/Media: Press / Media