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
Nvidia announces new 800G switches, one for Ethernet and one for InfiniBand, for building AI fabrics. Nvidia also announces an “AI supercomputer,” a rack-scale pre-built bundle of Nvidia GPUs and CPUs connected via InfiniBand switches. Take a Network Break!
Why is InfiniBand so popular for building AI networks? Why is InfiniBand so popular for building AI networks? What are the requirements for running AI workloads over a data center fabric? What about Ethernet for AI? Jeff Tantsura joins Tom Ammon and Russ White to discuss networks for AI workloads. What about Ethernet for AI?
There are two leading choices in the industry that fit these requirements: RoCE and InfiniBand fabrics. On the other hand, Meta had built research clusters with InfiniBand as large as 16K GPUs. So we decided to build both: two 24k clusters , one with RoCE and another with InfiniBand. Both of these options had tradeoffs.
Ethernet competes with InfiniBand as a network fabric for AI workloads such as model training. Read more » Ethernet competes with InfiniBand as a network fabric for AI workloads such as model training. Read more » Ethernet competes with InfiniBand as a network fabric for AI workloads such as model training.
With self-optimizing Ethernet AI fabrics, Juniper delivers congestion auto-tuning, advanced load balancing, and NIC-to-switch monitoring and tuning, achieving performance comparable to InfiniBand while allowing customers to leverage the broader ecosystem of Ethernet-trained professionals and tools.
We also talk about InfiniBand and Ethernet as network fabrics for AI workloads, cabling considerations, and more. We also talk about InfiniBand and Ethernet as network fabrics for AI workloads, cabling considerations, and more. On todays Network Automation Nerds, we get into the infrastructure required to support AI workloads.
This week's Network Break examines new 400G switches from Arista, discusses the Wi-Fi Alliance's certification program for the HaLow long-range low-power standard, targets key Nvidia announcements, catches up on the latest in space networking, and more IT news.
In today’s high-speed networking world, optimizing and troubleshooting performance is crucial, especially with high-performance equipment like NVIDIA Infiniband switches. In this blog, we’ll share top tips for debugging and optimizing NVIDIA Infiniband networking performance.
The other cluster features an NVIDIA Quantum2 InfiniBand fabric. Through careful co-design of the network, software, and model architectures, we have successfully used both RoCE and InfiniBand clusters for large, GenAI workloads (including our ongoing training of Llama 3 on our RoCE cluster) without any network bottlenecks.
Thus, we took two steps to improve the performance. First, we experimentally determined the right parameter settings for the number of channels and channel buffer size across various training job sizes and collective types.
The actual reality is somewhat different, as the few data archive people I know mention they do great restore/archive runs about every 8 to 10 years, largely driven by changes in drive connectivity (SCSI, SATA, FibreChannel, Infiniband, SAS, etc), OS and software support, and corporate purchasing cycles.
We organize all of the trending information in your field so you don't have to. Join 5,000+ 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