The is the final entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on for help determining where and how to adopt machine learning technology in your business.
Networking Dell EMC Microsoft Storage Spaces Direct Ready Nodes
June 27, 2018 by Leave a Comment
Dell EMC Microsoft Storage Spaces Direct Ready Nodes are built on Dell EMC PowerEdge servers, which provide the storage density and compute power to maximize the benefits of Storage Spaces Direct. “They leverage the advanced feature sets in Windows Server 2016 Datacenter Edition to deploy a scalable hyper-converged infrastructure solution with Hyper-V and Storage Spaces Direct. And for Microsoft server environments, S2D scales to 16 nodes in a cluster, and is a kernel-loadable module, (with no RDMA iWarp or RoCE needed) which is a low risk approach to implementing an S2D cluster.”
Computing Environments Options for Energy Exploration and Monitoring
June 26, 2018 by Leave a Comment
This is the fourth entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn more about computing environments options for energy exploration and monitoring.
Exploring Dell EMC Networking for vSan
June 20, 2018 by Leave a Comment
This is the second entry in an insideHPC guide series that explores networking with Dell EMC ready nodes. Read on to learn more about Dell EMC networking for vSan.
Edge Computing Proves Critical for Drilling Rigs, Pipeline Integrity
June 19, 2018 by Leave a Comment
This is the third entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how edge computing is playing a role in operating drilling rigs, ensuring pipeline integrity and more.
How Do I Network vSAN Ready Nodes?
June 13, 2018 by Leave a Comment
Dell EMC vSAN Ready Nodes are built on Dell EMC PowerEdge servers that have been pre-configured, tested and certified to run VMware vSAN. This post outlines how to network vSan ready nodes. “As an integrated feature of the ESXi kernel, vSAN exploits the same clustering capabilities to deliver a comparable virtualization paradigm to storage that has been applied to server CPU and memory for many years.”
Energy Companies Embrace Deep Learning for Inspections, Exploration & More
June 12, 2018 by Leave a Comment
This is the second entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to learn how energy companies are embracing deep learning for inspections, exploration and more.
Case Study: Supercomputing Natural Gas Turbine Generators for Huge Boosts in Efficiency
June 5, 2018 by Leave a Comment
Hyperion Research has published a new case study on how General Electric engineers were able to nearly double the efficiency of gas turbines with the help of supercomputing simulation. “With these advanced modeling and simulation capabilities, GE was able to replicate previously observed combustion instabilities. Following that validation, GE Power engineers then used the tools to design improvements in the latest generation of heavy-duty gas turbine generators to be delivered to utilities in 2017. These turbine generators, when combined with a steam cycle, provided the ability to convert an amazing 64% of the energy value of the fuel into electricity, far superior to the traditional 33% to 44%.”
Opportunities Abound: HPC and Machine Learning for Energy Exploration
June 5, 2018 by Leave a Comment
The is the first entry in a five-part insideHPC series that takes an in-depth look at how machine learning, deep learning and AI are being used in the energy industry. Read on to find out how machine learning is driving energy exploration. “Any tool that reduces the time needed to understand where the deposits are located can save a company millions of dollars.”
Squeezing Light could be key to Quantum Computing
June 1, 2018 by Leave a Comment
“Scientists at Hokkaido University and Kyoto University have developed a theoretical approach to quantum computing that is 10 billion times more tolerant to errors than current theoretical models. Their method brings us closer to developing quantum computers that use the diverse properties of subatomic particles to transmit, process and store extremely large amounts of complex information.”
