March 29, 2011
As more users warm to the idea of using cloud-based resources, new ways of distributing spare compute cycles are emerging, including via the use of marketplaces like that offered by SpotCloud. Such services allow those with excess capacity to sell their downtime while providing users with cheap access to resources they need. Read more…
January 31, 2011
The idea that HPC in the cloud should be simple and fulfill the true promise of instant, on-demand resources without effort is faulty, according to Joe Landman, who argues that customer expectations are not meeting with HPC cloud realities. Read more…
January 26, 2011
An EU-funded open source cloud project has taken aim at the lack of interoperability and fears of vendor-lock in associated with commercia cloud providers. Read more…
January 5, 2011
A software architecture developed at NASA's Jet Propulsion Laboratory that seeks out distributed data and computing resources has been selected as a top project for support by the Apache Software Foundation. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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