The burgeoning artificial intelligence sector has spurred a significant interest in establishing data center operations; however, launching such an enterprise presents considerable challenges.
Even after successfully acquiring critical hardware components such as GPUs, network switches, and storage, operators face the complex task of configuration, operationalization, and adapting to diverse customer requirements. Preparing a data center to deliver AI inference and training services, alongside general cloud computing, can span several months, with prolonged time-to-market directly escalating costs as valuable GPU resources remain unutilized.
Network automation startup Netris asserts its ability to streamline this process for emerging cloud providers, or "neoclouds." The company delivers specialized software designed to operate on network switches, complemented by a platform that interfaces with these switches. This solution empowers neocloud operators to significantly shorten their time-to-market by automating critical setup, configuration, and operational tasks. Furthermore, the platform offers network abstraction, enabling flexible hardware configuration changes, and ensures robust server and resource isolation at the hardware layer, thereby facilitating secure multi-tenancy for diverse clientele.
This solution addresses a seemingly inherent challenge, a fact not lost on industry observers. Historically, data centers have predominantly been the purview of major infrastructure providers such as Equinix, NTT, Digital Realty, Oracle, Microsoft, AWS, or Google. These giants effectively resolved network setup, configuration, and multi-tenancy requirements through substantial investments in engineering teams or bespoke automation development. In contrast, smaller neocloud businesses typically lack access to such extensive resources.
"As a GPU cluster operator, constant configuration adjustments across every link are a daily necessity," Netris CEO Alex Saroyan explained to TechCrunch. "While traditional data centers historically relied on Software-Defined Networking (SDN) for these tasks, SDN is proving inadequate because its foundation is purely software-based. For AI applications, a software-centric approach is no longer viable due to the immense traffic volumes, necessitating full hardware acceleration. What's required is a solution akin to SDN, but entirely hardware-accelerated – precisely what we have been developing and delivering for the past eight years."
Saroyan further emphasized that the Netris platform maintains vendor-agnosticism, ensuring broad compatibility with standard networking equipment and protocols prevalent in data centers, supporting both Nvidia and AMD server architectures.
The startup's innovative approach has garnered significant endorsement, notably from Nvidia. Impressed by a demonstration of Netris' technology two years prior, the chipmaking titan actively recommended the company to several of its clients. Today, Netris' solution is operational across more than 35 GPU clusters worldwide, collectively managing approximately one million GPUs, with notable deployments by entities such as Lightning AI, Foxconn, Visionbay, Hewlett Packard Enterprise, Tensorwave, and Telus, among others.
Capitalizing on this burgeoning momentum, Netris has successfully secured $15 million in a Series A funding round, led by Andreessen Horowitz, an exclusive report from TechCrunch reveals.
It is noteworthy that the core of Netris' solution does not involve artificial intelligence. Saroyan clarified that the company exclusively utilizes algorithms developed prior to the recent AI surge, specifically designed for automating and configuring network operations.
"Our journey began long before the current AI boom," Saroyan stated. "We identified this particular challenge early and commenced algorithm development accordingly. AI, by its nature, is not deterministic; it can exhibit independent behavior, making it excellent for creative tasks. However, when it comes to modifying thousands of switch configurations, creativity is not the requirement. What's paramount is persistence and absolute repeatability."
As part of this development, Guido Appenzeller, a partner at a16z, will be joining Netris' board of directors. Moving forward, Netris plans to strategically allocate the newly acquired capital towards expanding its engineering and sales teams, broadening support for additional hardware vendors, and integrating further functionalities into its proprietary algorithms.
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