This Week in Cloud and Data Center News
Despite barriers, HPC is heading to the cloud. Companies need visual cloud and media analytics platforms. 2020 could be the year of edge computing. CSPs and customers must tackle security together. And energy and utility companies opt for the edge.
Challenging the Barriers to High Performance Computing in the Cloud
Some people are the type who wait in line to get the latest technology, and others prefer to wait for reviews. If you fall into the second category and are hesitant to move your HPC workloads to the cloud, AWS powered by Intel processors could give you the confidence you need to make the leap.
Bringing Media Analytics Into View
“Just right” isn’t only relevant in the tale of the three bears. Companies need a visual cloud and media analytics platform that’s just right, which means it has software to enable fast innovation, hardware that can scale, and overall flexibility. Intel Select Solutions for Visual Cloud and Media Analytics might be just what Goldilocks ordered.
How Businesses Plan to Accelerate Growth in 2020
As we approach the time of year when thought leaders gaze into their crystal balls to see what lies ahead, it’s worth considering Deloitte’s predictions for the continued growth of hybrid cloud and the rise of edge computing, a result of the increase in IoT devices, portability of computing power, and AI-driven tools.
Overcoming the Key Security Challenges Amid Multi-Cloud Rise
Just like preventing the spread of germs around the office is a team effort, so is securing cloud services. CSPs and cloud customers need to share the responsibility, meaning CSPs must secure cloud infrastructure while customers secure data and properly manage users. It’s a collaboration critical to keeping threats out.
Edge Computing Is on the Rise Among Energy and Utility Companies
When you think edge computing, you might not think energy and utility companies. But businesses in this sector are adopting edge technology for reasons that make a lot of sense. Their IT assets are widely dispersed (and often reside in inhospitable locations), so processing data at the source might be the way to go.