That may be good to even out the cost of high-tech research. The HPCIC can be the backend computation node so that high-tech companies just use them without installing their own. Good idea. Especially it helps university fundings.
@przemek: Amazon ECC and other traditional cloud environemtns are more traditional x86 clusters. The Lawrence Livermore systems are designed for scientific simulations, typically use more custom processors and lower latency interconnects--and are probably larger.
I am not sure how this relates to Amazon ECC (Elastic Computer Cloud?), where also you can buy computer time on an arbitrary number of CPU instances. I guess Amazon is more basic, in the sense that ECC provides raw machines where you install your own software, whereas probably LLNL provides access to a configured cluster with some simulation software already installed and configured. Still, ECC is pretty sweet for people who know what they are doing.
@Neo: I asked about terms but they just said it varies by project. I suspect a wide variety os small to large companies might be interested for a wide variety of projects--and that Feds hope to earn some $$$$ and help give industry a boost.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.