Hardware-Assisted virtualization News
December 21, 2016
GPU technology, once primarily the domain of computer gamers, is getting new legs in systems that run deep learning and AI applications. Experts predict it will be a big part of analytics in 2017.
October 04, 2016
The latest AWS updates hit on some common themes to provide customers with more options around compute power and discounted purchasing. Amazon's new P2 instance type offers up to 16 graphic ...
June 16, 2016
TensorFlow optimizes the development and deployment of machine learning algorithms. But how can it leverage the cloud to build deep learning apps? Expert George Lawton explains.
May 18, 2016
The Lawrence Berkeley National Laboratory has turned to SDN and Corsa data-plane appliances in tackling soaring demand on ESnet research network.
Hardware-Assisted virtualization Get Started
Bring yourself up to speed with our introductory content
Traditionally, CPUs used one thread and consisted of a single core, but now, they can be hyper-threaded, hold more cores and can be abstracted in virtual environments. Continue Reading
Cloud computing instances can make or break application performance -- and costs. Evaluate your workloads to determine the right instance type and size before deployment. Continue Reading
Virtual GPUs are becoming crucial to hybrid cloud planning. With companies like AMD, NVIDIA and Intel throwing their hats in the ring, expect improvements to the technology. Continue Reading
Evaluate Hardware-Assisted virtualization Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
VDI shops can no longer assume mainstream apps, such as Microsoft Office, do not require GPUs. This type of app, as well as websites and more, are increasingly graphics-intensive. Continue Reading
Google's Tensor Processing Units are built to train and run machine learning models. Experts discuss their plusses and minuses compared to CPUs and GPUs. Continue Reading
Building security into embedded system hardware helps regulators lock down specific functions while allowing consumers to tweak other parts of their product. Continue Reading
Manage Hardware-Assisted virtualization
Learn to apply best practices and optimize your operations.
Think about what types of workloads are running on a VM before assigning compute resources, and consider using vCPUs from different cores for demanding workloads. Continue Reading
Start by using multiple NICs and organizing complementary VMs on the same host. Also, consider reserving network traffic by type and using hardware support for virtualization. Continue Reading
Be sure to provision the right virtual CPUs to a VM and be aware of processor hyper-threading. Also, use CPU affinity strategically and scale out rather than up. Continue Reading
Problem Solve Hardware-Assisted virtualization Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
Fault Tolerance in vSphere duplicates a critical workload to ensure a server outage doesn't slow the business down, but some setup is required to ensure performance isn't compromised. Continue Reading
If a server isn't on the hallowed VMware Hardware Compatibility Guide, that doesn't mean it won't support ESXi. But it's a tough road to verification. Continue Reading