The cycle of leads to the accelerated shrinking of the non-hyperscale more profitable pie, and an ever-increasing reliance on the hyperscale giants. If the transition Data center thesis traditional compute workloads to the cloud is having such a profound impact on the IT investing landscape, how will AI be different?
This is essentially the bear thesis against them being advertised by them.
The smaller data center REITs, CyrusOne and QTS, have been the top performers this quarter following strong leasing results amid continued demand from hyperscale customers.
Properties on the periphery typically provide more ubiquitous enterprise-based services, including storage and cloud-based software applications, and primarily rent these facilities to wholesale customers who pay lower per-SF rent.
This is not true. AFFO growth has moderated as competition has heated up significantly since Now, end of Data center thesis This is not a capital-intensive business. While private cloud solutions have also seen steady growth and integration into a "hybrid cloud" model, the general sentiment is that the runway for growth is far longer for the hyperscale model and these providers are expected to take an increasingly larger share of the pie.
CyrusOne and QTS focus primarily on lower-valued enterprise assets. We are talking about all the services these companies provide. Within the sector, we note the differences in yield for these five REITs.
Kunlun supposedly can be applied to cloud and edge scenarios, such as data centers, public clouds and autonomous vehicles. When you look at what Google has done with the TPU, it says a lot about the compute problem in deep learning.
So, the question you need to ask yourself is why are all these resource rich companies developing custom solutions in this space vs. All of our research is for educational purposes only, always provided free of charge exclusively on Seeking Alpha.
Google clearly has very aggressive ambitions here and has simultaneously influenced the pace of development at their cloud competitors. In fact, if eSilicon files to go public in the near future, that would be a very strong sign that my thesis is spot on. The aim of this report is to essentially improve investor IQ in a segment, machine intelligence hardware, that desperately needs it.
Now, the inferencing part: The economics of cloud deployments are expected to remain highly favorable for the foreseeable future. The TPU simply recognizes this issue and embraces a more economically efficient workaround to their problem. They also tell you that custom accelerators are suited for certain applications, and that they are experimenting w new types of hardware.
This is of course followed with economic arguments highlighting how existing infrastructure can be leveraged to save money for machine intelligence workloads.
Information presented is believed to be factual and up-to-date, but we do not guarantee its accuracy and it should not be regarded as a complete analysis of the subjects discussed.Reducing Peak Power Consumption in Data Centers Thesis Presented in partial fulfillment of the requirements for the Degree Master of Science in.
Bull and Bear Thesis for Data Center REITs. Data centers are the home to the cloud: the outsourcing of computing processing and storage capacity from one's own device to an off-site data center.
Data Center Design & Enterprise Networking By Christian Mahood Thesis submitted in partial fulfillment of the requirements for the degree of Master of. Master thesis: Data centre design standards and best practices for public research HPC centres Seventh Annual Workshop for the Energy Efficiency HPC Working Group.
DATA CENTER ENERGY MANAGEMENT Lakshmi Ganesh, Ph.D. Cornell University Data centers form the underpinnings of the. Master’s Thesis Academic Year Improving transmission performance with one-sided datacenter TCP Summary Data centers host diverse applications, mixing ﬂows that.Download