July 27, 2010
The world's largest public GPGPU computing on-demand service was launched this week at the Siggraph International Conference in Los Angeles. PEER 1 Hosting, a provider of IT infrastructure, has constructed a 128-GPU compute cloud that incorporates NVIDIA Tesla gear and mental image's RealityServer 3D Web platform. Read more…
August 12, 2009
Linux cluster maker Penguin Computing hopped on the HPC-in-a-cloud bandwagon this week with the announcement of its HPC on-demand service. Called Penguin On Demand (POD), the service consists of an HPC compute infrastructure whose capacity can be rented on a pay-as-you-go basis or through a monthly subscription. Read more…
September 29, 2008
A somewhat neglected aspect of the current financial crisis is the huge spike in trading volumes in recent days. In some cases, they have raised to more than double the average of the months (and years) that preceded the crisis. Systems, of course, don't care if stocks are going up or down; they just need to handle the transactions. Cloud computing can help ensure they meet this task. Read more…
September 24, 2008
A common critique of external cloud computing services is that big-time IT users, like major corporations and financial institutions, are nowhere near getting on board. That might be true for the new breed of "cloud" services, but for the financial services sector, at least, outsourcing is far from a dirty word. Read more…
Did you miss out on Supercomputing 2017? Did you attend, but were stuck in meetings the whole time without an opportunity to walk the show floor and see what new announcements were being made? HPCwire's got you covered, we visited some of the hottest booths in the exhibit hall and spoke with their top executives to get the scoop on the latest solutions, partnerships, and product announcements.
From mismatches between compute and storage capabilities to colossal data volumes, data storage presents a number of challenges for scientific research. And as silos pop up and challenges expand, the pace of research often suffers.
As genomic data becomes ubiquitous, infrastructure bottlenecks for life sciences organizations are narrowing. But speedy analysis and real-time decision making don't have to remain out of reach: modern end-to-end systems are emerging as flexible solutions for a competitive edge.
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