Netris raises $15M Series A from a16z to help AI neoclouds go live faster
The AI industry's explosive growth has created a paradox: as demand for computing power surges, the infrastructure required to support it is becoming more complex and less accessible to newcomers. While the world scrambles to build more data centers, the very process of deploying them remains a bottleneck — one that startup Netris is now aiming to eliminate with a hardware-focused automation solution.
A Hardware-First Approach to Data Center Automation
Netris' platform is a stark departure from conventional software-defined networking (SDN) solutions. Traditional SDN relies on software to manage network traffic, but for AI workloads, which demand ultra-low latency and massive throughput, software simply can't keep up. The startup’s technology abstracts the network layer at the hardware level, allowing operators to configure, manage, and scale their infrastructure with unprecedented speed and precision.
The result is a system that can reduce the time needed to bring a data center online from months to weeks — a crucial advantage in an industry where time-to-market directly impacts profitability. Unlike other solutions that require extensive custom coding, Netris’ platform is designed to be vendor-agnostic, supporting a wide range of hardware from Nvidia to AMD. This flexibility makes it particularly attractive to neoclouds, which often lack the engineering resources of established players like AWS or Google.
Key features of Netris' platform include:
- Automates switch configuration and network operations
- Provides hardware-level network abstraction
- Enables multi-tenancy by isolating resources at the hardware layer
- Compatible with major GPU and networking vendors
The Rise of Neoclouds and the Need for Better Tools
Neoclouds — a term used to describe new, smaller data center operators — have emerged as a response to the growing demand for AI and machine learning workloads. These operators aim to provide more flexible, cost-effective alternatives to the traditional hyperscale providers, but they face a daunting challenge: setting up a data center from scratch is a resource-intensive process.
For neoclouds, the ability to deploy and manage infrastructure rapidly is not just a convenience — it's a survival factor. According to Netris CEO Alex Saroyan, many of these companies are operating on tight margins and cannot afford the delays or inefficiencies that come with manual configuration. His company’s solution, which has been in development for over a decade, is now being used in more than 35 GPU clusters globally, hosting over a million GPUs.
Andreessen Horowitz’s recent $15 million Series A investment underscores the growing interest in Netris’ approach. The funding will help the company expand its engineering and sales teams, support additional hardware vendors, and enhance its core automation algorithms. The move also brings in a16z partner Guido Appenzeller to the board, signaling confidence from one of Silicon Valley’s most influential venture firms.
As AI workloads continue to grow, the need for efficient infrastructure deployment will only intensify. Netris’ hardware-first automation model offers a compelling alternative to the software-centric solutions that have dominated the market for years. By focusing on deterministic, repeatable operations, the startup is positioning itself at the intersection of AI infrastructure and network innovation.
The company’s success may also signal a broader shift in how data centers are managed. As more players enter the space, the pressure to innovate and reduce operational complexity will force even the largest providers to rethink their strategies. For neoclouds, Netris’ platform could be the key to competing — and thriving — in an increasingly crowded market.
