The next generation national supercomputer for Singapore will be a green, warm water-cooled system – one of the first known deployments of such a system in a tropical environment. When operational the supercomputer is expected to provide an aggregate of up to 10 PFLOPS of raw compute power and is eight times more powerful than the current ASPIRE1 supercomputer. ASPIRE1, which was commissioned in 2016, has been running at near full capacity in support of local advanced research that requires high-end computing resources. The new system is the first in a series of supercomputers that will be deployed in phases from now till 2025 to expand and upgrade Singapore’s high-performance computing (HPC) capabilities for the research community here.
5G is so much more than just delivering better broadband. It’s also about enabling service providers to deliver all sorts of vertical market, specific applications to unlock and unleash the potential across a wide variety of industries. And with that, we expect the network to truly be transformed, be very flexible, be very server-like, and utilize all sorts of cloud technologies to unleash the potential of all these wide variety of use cases.
This is an interesting write-up from James Mauro from Nvidia on Storage Performance Basics for Deep Learning.
“The complexity of the workloads plus the volume of data required to feed deep-learning training creates a challenging performance environment. Deep learning workloads cut across a broad array of data sources (images, binary data, etc), imposing different disk IO load attributes, depending on the model and a myriad of parameters and variables.”