Pawsey is offering a new Nimbus Cloud to Australian researchers from 1 April 2020. Applications are open now to this high-throughput computing (HTC) infrastructure.
Applications for allocations on the new Nimbus Cloud are now open. You can apply today via this link using your institution’s credentials.
Nimbus offers on-site, flexible and fast HTC infrastructure complementary to Pawsey’s large-scale HPC facilities.
Nimbus is an integrated data-intensive infrastructure that facilitates large data workflows and computational tasks and offers a data analytics capability. Its self-service structure allows researchers to administer the entirety of their software environment, data storage and even the operating system within their own instance.
The refreshed cloud now contains approximately 3,700 cores with 9 PB of storage, 58 TB of RAM, 12 NVidia V100 GPU nodes and 100 Gb Ethernet networking. The full technical specifications are located here.
There are a range of new instance configurations, called flavours, available to users.
The new high-throughput computing infrastructure represents a significant improvement from the original Nimbus Cloud, in CPU, memory and storage, providing enhanced computational flexibility, accessibility and speed.
Nimbus Cloud allows researchers to process and analyse larger volumes of data through additional storage and opportunities to work with Kubernetes container orchestration, building on Pawsey’s existing container technology for its HPC systems.
Researchers with memory-heavy workloads will find the new infrastructure better suited to their research needs, with the capacity to support more computationally challenging projects.
Projects receive six-month allocations, which will need to be renewed via the application portal to continue service.
Training courses will be run so researchers can build and expand their skills, to best use the new system. Training information is available on our event calendar page.
General information sessions will be held online once a week during March, log in details are available here.