How to actually migrate your AIX data into the Cloud
Migrating AIX data into Cloud such as Skytap on Azure.
Cloud Computing
IBM Cloud Storage
by Ivaylo Nikolov
in Cloud Computing, Disaster Recovery, IBM, IBM Cloud, Personal Analysis, RPO, RTO, Security
Fourth Part of IBM Cloud Series – Storage
IBM Cloud Security
by Ivaylo Nikolov
in Cloud Computing, High Availability, IBM, IBM Cloud, Industry News, Personal Analysis
Third Part of IBM Cloud Series – Security
IBM Cloud Series – Intro
We are starting a small number of article series related to some of our experiences on IBM Cloud platform.
Public Cloud vs. Private Cloud for your AI workloads
A small analysis on public versus private cloud capabilities in AI and machine learning use cases.
E-book download included.
IBM Systems Technical University 2019
by Georgi Prangov
in AIX, Artificial Intelligence, Cloud Computing, Events, IBM, Linux, Mainframe, PowerAI, Security, Unix
21 – 25 October 2019 | Prague, CZ Join IBM for a fantastic week of training and enablement on IBM’s latest AI, Cloud and Storage solutions at a venue where you can truly immerse yourself and network with your peers and IBM experts. You’ll learn how to plan, design, install, configure, migrate, operate and tune […]
IBM Think Summit 2019
16 October 2019 | OLYMPIA LONDON, UK In a period of unprecedented change, staying connected to technology trends has never been more important. And there’s no better forum for the latest (and future) insights than Think Summit London, IBM’s annual festival of innovation. To register click here.
Some Linux on Power Considerations
Linux on Power and L3C As one of IBM’s Power Cloud partners, we have been always on the road of considering how IBM Power technology fits into the customer’s every-day life. The most obvious application of the technology of course is enabling customers, who have critical workloads on AIX operating systems usually focused on large […]
NVIDIA Developing RAPIDS Rapidly
Most of you now on NVIDIA’s latest development direction – the so called RAPIDS libraries, targeted at accelerating the workflow of data scientists. NVIDIA aims to reach the three main phases of this workflow – data preparation, model training and data visualization. At the current point a large number of these operations for data scientists […]