This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
To balance speed, performance and scalability, AI servers incorporate specialized hardware, performing parallel compute across multiple GPUs or using other purpose-built AI hardware such as tensor processing units (TPUs), field programmable gate array (FPGA) circuits and application-specific integrated circuit (ASIC).
First up is Brent Salisbury’s how to build an SDN lab without needing OpenFlow hardware. Not unsurprisingly, one of the key advantages of STT that’s highlighted is its improved performance due to TSO support in NIC hardware. Servers/Hardware. has posted a good hypervisor feature comparison document.
Essentially the punchline is this: Weve taken the most commonly-purchased hardware configuration and management tools used by mission-critical IT Ops, and integrated them into a single product with a single GUI that you can install and use in ~ 1 day. If you dont believe Dell hardware is ready for the Data Center, then think again.
True, both have made huge strides in the hardware world to allow for blade repurposing, I/O, address, and storage naming portability, etc. However, in the software domain, each still relies on multiple individual products to accomplish tasks such as SW provisioning, HA/availability, VM management, loadbalancing, etc.
The rise of the disaggregated network operating system (NOS) marches on: this time, it’s Big Switch Networks announcing expanded hardware support in Open Network Linux (ONL) , upon which its own NOS is based. Servers/Hardware. Mircea Ulinic has a nice article describing the combination of NAPALM and Salt for network automation.
Continuing on that Envoy theme, you may find this article by Matt Klein—one of the primary authors of Envoy—helpful in understanding some of the concepts behind modern loadbalancing and proxying. Servers/Hardware. Steven Acreman shares a brief, high-level comparison of the major Kubernetes ingress solutions.
Viktor van den Berg writes on deploying NSX loadbalancers with vRA. Servers/Hardware. Courtesy of Corey Quinn, here’s an awesome AWS versus Azure comparison , comic book style. IPVLAN is a low-latency means of providing IP connectivity to containers. Nothing this time around, sorry!
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content