Viewing posts from August, 2017
Melbourne’s Swinburne University is going to deploy its first petascale supercomputer, a Dell EMC machine that will be tasked to support cutting-edge astrophysics and other scientific research.
Microsoft has bought Cycle Computing, an established provider of cloud orchestration tools for high performance computing users. The acquisition offers the prospect of tighter integration between Microsoft Azure’s infrastructure and Cycle’s software, but suggests an uncertain future for the technology on Amazon Web Services (AWS) and Google’s cloud platform.
Using off-the-shelf servers, NASA and HPE are devising a way to allow a Mars-bound spacecraft to house an on-board supercomputer.
One of the biggest impediments to more widespread use of AI is the lack of developer expertise in machine learning software. Bonsai, a startup based in Berkeley, California, is looking to change that in a big way by offering a platform that abstracts away a lot of the low-level nuts and bolts that makes machine learning such a daunting challenge for businesses.
Flash storage specialist Nimbus Data has announced ExaDrive, an SSD that offers more capacity than any commercial hard disk drive (HDD) available today.
A free online course on the basics of supercomputing will be available on August 28 for anyone who signs up this month.
This week IBM demonstrated software that was able to significantly boost the speed of training deep neural networks, while improving the accuracy of those networks. The software achieved this by dramatically increasing the scalability of these training applications across large number of GPUs.
Oak Ridge National Laboratory has begun to install Summit, the IBM-NVIDIA-powered system that is likely to become the most powerful supercomputer in the world when completed.
Swinburne University Makes Leap to Petascale with New Supercomputer
Microsoft Boosts HPC Cloud Aspirations with Acquisition of Cycle Computing
NASA Launches Supercomputer Servers into Space
Startup Aims to Ease the Pain of Developing Machine Learning Applications