Research output per year
Research output per year
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.
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
| Name | AI Cloud Service |
|---|---|
| Acquisition date | 01/12/2018 |
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.
-
Why talk to people when you can talk to robots? Far-field speaker identification in the wild
Humblot-Renaux, G., Li, C. & Chrysostomou, D., 8 Aug 2021, 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021. IEEE, p. 272-278 7 p. (IEEE RO-MAN proceedings).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
File2 Citations (Scopus)23 Downloads (Pure) -
A Collaborative Robot Cell for Random Bin-picking based on Deep Learning Policies and a Multi-gripper Switching Strategy
Olesen, A. S., Gergaly, B. B., Ryberg, E. A., Thomsen, M. R. & Chrysostomou, D., 19 Nov 2020, In: Procedia Manufacturing. 51, p. 3-10 8 p.Research output: Contribution to journal › Conference article in Journal › Research › peer-review
Open AccessFile13 Citations (Scopus)107 Downloads (Pure) -
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, Vol. 38).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
Open AccessFile37 Citations (Scopus)159 Downloads (Pure)
-
Automated cancer diagnostics in histopathological images
Jørgensen, A. S.
01/12/2015 → …
Project: Research
-
BEO-COVID: Decision making tool based on evaluation and optimisation of models in UPPAAL
Larsen, K. G., Stoustrup, J., Jensen, P. G., Mikucionis, M., Jørgensen, K. Y., Rodriguez, M. A. M., Poulsen, D. B. & Tschaikowski, M.
27/04/2020 → 01/10/2020
Project: Research
-
Reinforcement Learning Based Control for Underfloor Heating
Bøgh, S. & Blad, C.
01/01/2019 → 31/12/2021
Project: Research
Press/Media
-
Forskere ved AAU har udviklet model, der kan forudsige, om corona-restriktioner virker
11/12/2020 → 17/12/2020
22 items of Media coverage
Press/Media: Press / Media
-
NVIDIA DGX-2 AI System Plays Crucial Role in Sewer Research
30/06/2020
1 item of Media coverage
Press/Media: Press / Media
-
Nørd-kraft – på besøg hos Claaudia-teamet på Aalborg Universitet
Mads Boye, Karsten Kryger Hansen, Nils Thidemann & Mads Peter Bach
19/02/2020
1 item of Media coverage
Press/Media: Press / Media
Datasets
-
Annotated point clouds of buildings: a segmented dataset of single-family houses
Pouliou, P. (Creator), Horvath, A. (Creator) & Palamas, G. (Creator), Mendeley Data, 9 Nov 2022
Dataset