HPC systems
Each of the HPC facilities consists of a compute resource (a number of compute nodes each with a number of processors and internal shared-memory, plus an interconnect that connects the nodes), a central storage resource that is accessible by all the nodes, and a secondary storage resource for back-up (and in few cases also for archiving). All facilities use variants of the UNIX operating system (Linux, AIX, etc.).
Storage systems
The NIRD storage provides data storage capacity for research projects with a data centric architecture. Hence it is also used for storage capacity for the HPC systems, for the national data archive and other services requiring a storage backend. It consists of two geographically separated storage systems. The leading storage technology combined with the powerful network backbone underneath allow the two systems to be geo‐replicated in an asynchronous fashion, thus ensuring high availability and security of the data.
The NIRD storage facility, differently from its predecessor NorStore, is strongly integrated with the HPC‐ systems, thus facilitating the computation on large datasets. Furthermore, the NIRD storage offers high performance storage for post processing, visualization, GPU‐computing and other services on the NIRD Service Platform
- Betzy
Systems-Betzy
Betzy
The supercomputer is named after Mary Ann Elizabeth (Betzy) Stephansen, the first Norwegian woman with a Ph.D in mathematics.
The most powerful supercomputer in Norway
Betzy is a BullSequana XH2000, provided by Atos, and will give Norwegian researchers more than 5 times more capacity than previously, with a theoretical peak performance of 6.2 PetaFlops. The supercomputer, which will be placed at NTNU in Trondheim, will be available to users during the second half of 2020.
Technical specifications:
- The system comprises of 1344 compute nodes each equipped with 2 x 64core, next-generation AMD EPYC™ processors, code name ‘Rome’, for a total of 172032 cores installed on a total footprint of only 14.78m2. The total compute power will be close to 6Pflops.
- The system will consume 952kW of power and 95% of the heat will be captured to water.
- The computes nodes will be interconnected with the new generation of Mellanox HDR technology.
- The data management solution will rely on a DDN storage with a Lustre parallel file system of more than 2.5PB.
- Saga
Systems-Saga
Saga
The supercomputer is named after the godess in norse mythology associated with wisdom. Saga is also a term for the Icelandic epic prose literature. The supercomputer, placed at NTNU in Trondheim, is designed to run workloads from Abel and Stallo. It was made available to users right before the start of 2019.2.
Saga is provided by Hewlett Packard Enterprise and has a computational capacity of approximately 85 million CPU hours a year and a life expectancy of four year, until 2023.
Technical detailsMain components
- 200 standard compute nodes, with 40 cores and 192 GiB memory each
- 28 medium memory compute nodes, with 40 cores and 384 GiB of memory each
- 8 big memory nodes, with 3 TiB and 64 cores each
- 8 GPU nodes, with 4 NVIDIA GPUs and 2 CPUs with 24 cores and 384 GiB memory each
- 8 login and service nodes with 256 cores in total
- 1 PB high metadata performance BeeGFS scratch file system
Key figures
Processor Cores 10080 GPU units 32 Internal Memory 75 TiB Internal disk 91 TB NVMe Central disk 1 PB Theoretical Performance (Rpeak) 645 TFLOPS - Fram
Systems-Fram
Fram
Named after the Norwegian arctic expedition ship Fram, the new Linux cluster hosted at UiT is a shared resource for research computing capable of 1.1 PFLOP/s theoretical peak performance. It started production 1 November 2017 (2017.2 computing period).
Fram is a distributed memory system which consists of 1004 dual socket and 2 quad socket nodes, interconnected with a high-bandwidth low-latency Infiniband network. The interconnect network is organized in an island topology, with 9216 cores in each island. Each standard compute node has two 16-core Intel Broadwell chips (2.1 GHz) and 64 GiB memory. In addition, 8 larger memory nodes with 512 GiB RAM and 2 huge memory quad socket nodes with 6 TiB of memory is provided. The total number of compute cores is 32256.
Technical details
System Lenovo NeXtScale nx360 Number of Cores 32256 Number of nodes 1006 CPU type Intel E5-2683v4 2.1 GHz
Intel E7-4850v4 2.1 GHz (hugemem)Max Floating point performance, double 1.1 Petaflop/s Total memory 78 TiB Total disc capacity 2.5 PB - Stallo
Systems-Stallo
Stallo
The Linux Cluster Stallo is a compute cluster at UiT - The Arctic University which was installed 1 December 2007, and included in NOTUR 1 January 2008. The supercomputer was upgraded in 2013.
Stallo is intended for a distributed-memory MPI applications with low communication requirements between the processors, a shared-memory OpenMP applications using up to eight processor cores, parallel applications with moderate memory requirements (2-4 GB per core) and embarrassingly parallel applications.
Technical details
System HP BL 460c Gen 8 Number of Cores 14116 Number of nodes 518 CPU type Intel E5 2670 Peak performance 104 Teraflops/s Total memory 12.8 TB Total disc capacity 2.1 PB - Vilje
Systems-Vilje
Vilje
Vilje is a cluster system procured by NTNU, in cooperation with the Norwegian Meteorological Institute and UNINETT Sigma in 2012. Vilje is used for numerical weather prediction in operational forecasting by met.no, as well as for research in a broad range of topics at NTNU and other Norwegian universities, colleges and research institutes. The name Vilje is taken from Norse Mythology.
Vilje is a distributed memory system that consists of 1440 nodes interconnected with a high-bandwidth low-latency switch network (FDR Infiniband). Each node has two 8-core Intel Sandy Bridge (2.6 Ghz) and 32 GB memory. The total number of cores is 23040.
The system is well-suited (and intended) for large scale parallel MPI applications. Access to Vilje is in principle only allowed for projects that have parallel applications that use a relatively large number of processors (≥ 128).
Technical details
System SGI Altix 8600 Number of Cores 22464 Number of nodes 1404 CPU type Intel Sandy Bridge Total memory 44 TB Total disc capacity xx - NIRD Toolkit
Systems - NIRD Toolkit
NIRD Toolkit
The NIRD Toolkit is running on a computing platform located in Tromsø and Trondheim.
Technical details
Workers 8 workers in total vCores 512, each worker has 64 vCores RAM 2 TB, each worker has 256 GB Gbps 40 Gbps network interconnect
to storage and among workersStorage Total NIRD storage capacity
accessible form the platformGPUs 8 NVIDIA V100 GPUs
2 GPU per worker in 4 workers - Decommisioned systems
Systems-Decommissioned
Old systems
Click on the link below to find information about old systems for national e-infrastructure no longer in production.
Systems-Betzy
Betzy
The supercomputer is named after Mary Ann Elizabeth (Betzy) Stephansen, the first Norwegian woman with a Ph.D in mathematics.
The most powerful supercomputer in Norway
Betzy is a BullSequana XH2000, provided by Atos, and will give Norwegian researchers more than 5 times more capacity than previously, with a theoretical peak performance of 6.2 PetaFlops. The supercomputer, which will be placed at NTNU in Trondheim, will be available to users during the second half of 2020.
Technical specifications:
- The system comprises of 1344 compute nodes each equipped with 2 x 64core, next-generation AMD EPYC™ processors, code name ‘Rome’, for a total of 172032 cores installed on a total footprint of only 14.78m2. The total compute power will be close to 6Pflops.
- The system will consume 952kW of power and 95% of the heat will be captured to water.
- The computes nodes will be interconnected with the new generation of Mellanox HDR technology.
- The data management solution will rely on a DDN storage with a Lustre parallel file system of more than 2.5PB.
Systems-Saga
Saga
The supercomputer is named after the godess in norse mythology associated with wisdom. Saga is also a term for the Icelandic epic prose literature. The supercomputer, placed at NTNU in Trondheim, is designed to run workloads from Abel and Stallo. It was made available to users right before the start of 2019.2.
Saga is provided by Hewlett Packard Enterprise and has a computational capacity of approximately 85 million CPU hours a year and a life expectancy of four year, until 2023.
Technical details
Main components
- 200 standard compute nodes, with 40 cores and 192 GiB memory each
- 28 medium memory compute nodes, with 40 cores and 384 GiB of memory each
- 8 big memory nodes, with 3 TiB and 64 cores each
- 8 GPU nodes, with 4 NVIDIA GPUs and 2 CPUs with 24 cores and 384 GiB memory each
- 8 login and service nodes with 256 cores in total
- 1 PB high metadata performance BeeGFS scratch file system
Key figures
| Processor Cores | 10080 |
| GPU units | 32 |
| Internal Memory | 75 TiB |
| Internal disk | 91 TB NVMe |
| Central disk | 1 PB |
| Theoretical Performance (Rpeak) | 645 TFLOPS |
Systems-Fram
Fram
Named after the Norwegian arctic expedition ship Fram, the new Linux cluster hosted at UiT is a shared resource for research computing capable of 1.1 PFLOP/s theoretical peak performance. It started production 1 November 2017 (2017.2 computing period).
Fram is a distributed memory system which consists of 1004 dual socket and 2 quad socket nodes, interconnected with a high-bandwidth low-latency Infiniband network. The interconnect network is organized in an island topology, with 9216 cores in each island. Each standard compute node has two 16-core Intel Broadwell chips (2.1 GHz) and 64 GiB memory. In addition, 8 larger memory nodes with 512 GiB RAM and 2 huge memory quad socket nodes with 6 TiB of memory is provided. The total number of compute cores is 32256.
Technical details
| System | Lenovo NeXtScale nx360 |
| Number of Cores | 32256 |
| Number of nodes | 1006 |
| CPU type | Intel E5-2683v4 2.1 GHz Intel E7-4850v4 2.1 GHz (hugemem) |
| Max Floating point performance, double | 1.1 Petaflop/s |
| Total memory | 78 TiB |
| Total disc capacity | 2.5 PB |
Systems-Stallo
Stallo
The Linux Cluster Stallo is a compute cluster at UiT - The Arctic University which was installed 1 December 2007, and included in NOTUR 1 January 2008. The supercomputer was upgraded in 2013.
Stallo is intended for a distributed-memory MPI applications with low communication requirements between the processors, a shared-memory OpenMP applications using up to eight processor cores, parallel applications with moderate memory requirements (2-4 GB per core) and embarrassingly parallel applications.
Technical details
| System | HP BL 460c Gen 8 |
| Number of Cores | 14116 |
| Number of nodes | 518 |
| CPU type | Intel E5 2670 |
| Peak performance | 104 Teraflops/s |
| Total memory | 12.8 TB |
| Total disc capacity | 2.1 PB |
Systems-Vilje
Vilje
Vilje is a cluster system procured by NTNU, in cooperation with the Norwegian Meteorological Institute and UNINETT Sigma in 2012. Vilje is used for numerical weather prediction in operational forecasting by met.no, as well as for research in a broad range of topics at NTNU and other Norwegian universities, colleges and research institutes. The name Vilje is taken from Norse Mythology.
Vilje is a distributed memory system that consists of 1440 nodes interconnected with a high-bandwidth low-latency switch network (FDR Infiniband). Each node has two 8-core Intel Sandy Bridge (2.6 Ghz) and 32 GB memory. The total number of cores is 23040.
The system is well-suited (and intended) for large scale parallel MPI applications. Access to Vilje is in principle only allowed for projects that have parallel applications that use a relatively large number of processors (≥ 128).
Technical details
| System | SGI Altix 8600 |
| Number of Cores | 22464 |
| Number of nodes | 1404 |
| CPU type | Intel Sandy Bridge |
| Total memory | 44 TB |
| Total disc capacity | xx |
Systems - NIRD Toolkit
NIRD Toolkit
The NIRD Toolkit is running on a computing platform located in Tromsø and Trondheim.
Technical details
| Workers | 8 workers in total |
| vCores | 512, each worker has 64 vCores |
| RAM | 2 TB, each worker has 256 GB |
| Gbps | 40 Gbps network interconnect to storage and among workers |
| Storage | Total NIRD storage capacity accessible form the platform |
| GPUs | 8 NVIDIA V100 GPUs 2 GPU per worker in 4 workers |
Systems-Decommissioned
Old systems
Click on the link below to find information about old systems for national e-infrastructure no longer in production.