Compute
Quantum Computing Enters 2018 Like It Is 1968
The quantum computing competitive landscape continues to heat up in early 2018. …
Compute
AI
Machine Learning Drives Changing Disaster Recovery At Facebook
Hyperscalers have billions of users who get access to their services for free, but the funny thing is that these users act like they are paying for it and expect for these services to be always available, no excuses. …
Cloud
The Spectre And Meltdown Server Tax Bill
The new year in the IT sector got off to a roaring start with the revelation of the Meltdown and Spectre security threats, the latter of which affects most of the processors used in consumer and commercial computing gear made in the last decade or so. …
Compute
HPC Optimizes Energy Exploration for Oil and Gas Startups
In its quest to meet the world’s ever-increasing demand for energy, the oil and gas industry has become one of the largest users—and leading innovators—of high performance computing. …
Cloud
Everyone Wants A Data Platform, Not A Database
Every IT organization wants a more scalable, programmable, and adaptable platform with real-time applications that can chew on ever-increasing amounts and types of data. …
AI
NVLink Shines On Power9 For AI And HPC Tests
The differences between peak theoretical computing capacity of a system and the actual performance it delivers can be stark. …
AI
Enterprises Challenged By The Many Guises Of AI
Artificial intelligence and machine learning, which found solid footing among the hyperscalers and is now expanding into the HPC community, are at the top of the list of new technologies that enterprises want to embrace for all kinds of reasons. …
Compute
Two Hyperscalers Down For AMD’s Epyc, Six To Go
You can’t call them the Super 8 because the discount hotel chain already has that name. …
Compute
Building An Enterprise Blockchain
The word has come down from the top: Your company is going blockchain, and you will be implementing it. …
Compute
Battle For Datacenter Compute: Qualcomm Centriq Versus Intel Xeon
Putting more and more cores on a single CPU and then having two CPUs in a standard workhorse server is something that yields the best price/performance for certain kinds of compute-hungry workloads, and these days, particularly those who want top bin Xeon parts and the cost of the processor is no object because it saves on the total number of server nodes that has to be deployed. …