Compute
ARM Servers: Throwing Down The 25 Percent Share Gauntlet
So 2016 is the year, or at least it is supposed to be. …
Articles by Timothy Prickett Morgan
Compute
Convergence Gets Hyper In The Datacenter
The way that systems are being built is changing, and the way that the winners and losers are tracked as they peddle their wares into the datacenter has to change to reflect that. …
Compute
Drilling Down Into The Machine From HPE
It has been roughly a year and a half since Hewlett Packard Enterprise first announced its intent to create a completely different kind of a system. …
Uncategorized
Happy Holidays From The Next Platform
The year is winding down and The Next Platform is taking a hiatus for the holidays. …
AI
Facebook To Open Up Custom Machine Learning Iron
There is a simple test to figure out just how seriously social network Facebook is taking machine learning, and it has nothing to do with research papers or counting cat pictures automagically with neural networks. …
Cloud
Looking Ahead In The Datacenter With Intel
The datacenter is a tough battleground, with vendors at every part of the stack pushing and pulling against each other to try to win business. …
Cloud
ARM Servers: Cavium Is A Contender With ThunderX
If it was as easy as global replacing a bunch of MIPS cores with a bunch of ARM cores, then network chip makers Cavium and Broadcom would already have long since put their respective “ThunderX” and “Vulcan” 64-bit ARM server processors into the market. …
Control
Open Source Is The Future Of EMC Software
Technologies are not the only things that pollinate across the HPC, hyperscale, cloud, and enterprise sectors of the IT economy. …
AI
Kafka Streaming Pulled Into Converged MapR Platform
Time and again, commercial Hadoop distributor MapR Technologies has demonstrated the value of the MapR-FS file system that underpins its Hadoop stack and differentiates it, more than any other feature, from the other Hadoop platforms with which it competes. …
Enterprise
NVDIMM: Can’t Wait for 3D XPoint, Can’t Rely On DRAM Alone
For most applications running in the datacenter, a clever distributed processing model or high availability clustering are enough to ensure that transaction processing or pushing data into a storage server will continue even if there is an error. …