Netris raises $15M Series A from a16z to help AI neoclouds go live faster
Netris provides software that runs on network switches, and offers a platform that helps neocloud operators reduce the time it takes to go live. The AI boom has encouraged everyone and their uncle to launch a data center business. But spinning up a data center isn't easy.
Key Takeaways
- Even if you solve the problem of securing the GPUs, network switches, and storage, you still have to get everything configured, running and be able to cater to customers' various needs.
Getting getting a data center ready to provide cloud-computing services AI inference and training services can take months of work.
- Until recently, data centers were largely the domain of large infrastructure operators like Equinix, NTT, Digital Realty, Oracle, Microsoft, AWS, or Google.
Those companies pretty much solved network setup, configuration and multi-tenancy for themselves by hiring ranks of engineers or building the automation themselves.
- This is what we do, and this is what what we've been doing for eight years.
" Saroyan said Netris' platform is vendor-agnostic, compatible with networking equipment and standards used at data centers, both for Nvidia and AMD's servers.
- Saryoan said the company only uses algorithms it had developed previously for running and configuring automation and operations.
We understood the challenge early on, and we started developing this algorithm early on.
- Ram Iyer Editor Ram is a financial and tech reporter and editor.
Stats & Key Facts
- #Today, Netris is live at more than 35 GPU clusters around the world (about a million GPUs total), operated by the likes of Lightning AI, Foxconn, Visionbay, Hewlett Packard Enterprise, Tensorwave, Telus, and others.
- #To build on that momentum, Netris has now raised $15 million in a Series A round from Andreessen Horowitz, TechCrunch has exclusively learned.
Even if you solve the problem of securing the GPUs, network switches, and storage, you still have to get everything configured, running and be able to cater to customers' various needs. Getting getting a data center ready to provide cloud-computing services AI inference and training services can take months of work. And the longer you take to get to market, the higher the cost of having all those precious GPUs sitting idle.
Network automation startup Netris claims it can make that problem disappear for neoclouds. The company provides software that runs on network switches, and it also offers a platform that connects to switches to help neocloud operators reduce the time it takes to go live by automating setup, configuration and operations. The platform also provides network abstraction, so hardware configurations can be changed as required, and it isolates servers and resources at the hardware layer so neoclouds can serve multiple customers (multi-tenancy).
If that sounds like a solution to an obvious problem, you're not wrong. Until recently, data centers were largely the domain of large infrastructure operators like Equinix, NTT, Digital Realty, Oracle, Microsoft, AWS, or Google. Those companies pretty much solved network setup, configuration and multi-tenancy for themselves by hiring ranks of engineers or building the automation themselves.
For more details please read the original article at TechCrunch AI.
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