Andreessen Horowitz Leads Netris’ Series A to Accelerate Adoption of GPU Network Automation and Multi-Tenancy Across AI Cloud Operators Worldwide

Netris, the leading provider of network automation and multi-tenancy for AI infrastructure, led by Alex Saroyan, Tigran Martirosyan, Arsen Arakelyan, and the team, has announced a $15M Series A round led by Andreessen Horowitz. The round follows 800% ARR growth and 35+ live deployments over the last 12 months, as AI cloud operators worldwide standardize on Netris’ NAAM (Network Automation, Abstraction, and Multi-Tenancy) platform to turn their GPUs into revenue.

AI Infrastructure at Global Scale.

AI infrastructure is expected to require trillions of dollars in investment over time, with current deployment still representing only a fraction of that scale. Industry forecasts project the AI infrastructure market to reach hundreds of billions of dollars in the coming years, alongside a multi-trillion-dollar economic impact from AI adoption.

For infrastructure operators, efficiency and utilization are critical: idle compute translates directly into lost revenue, while delays in provisioning slow down time-to-revenue for customers. As a result, cloud-level reliability, scale, and performance are becoming baseline requirements for competing in the AI infrastructure market.

Addressing Network Complexity.

Network automation remains one of the most challenging layers in large-scale AI infrastructure. Each GPU server requires coordination across multiple North–South, East–West, and NVL72 connections, and any change in tenant allocation, such as provisioning, resizing, or removal, requires synchronized updates across hundreds or even thousands of switches.

This complexity introduces significant operational risk, where a single misconfiguration can disrupt entire clusters or compromise tenant isolation. Netris NAAM addresses this challenge by automating network operations and enforcing strict multi-tenant isolation at the hardware level, enabling secure and efficient GPU sharing across large-scale AI cloud environments.

Addressing Network Complexity.

Network automation remains one of the most challenging layers in large-scale AI infrastructure. Each GPU server requires coordination across multiple North–South, East–West, and NVL72 connections, and any change in tenant allocation, such as provisioning, resizing, or removal, requires synchronized updates across hundreds or even thousands of switches.

This complexity introduces significant operational risk, where a single misconfiguration can disrupt entire clusters or compromise tenant isolation. Netris NAAM addresses this challenge by automating network operations and enforcing strict multi-tenant isolation at the hardware level, enabling secure and efficient GPU sharing across large-scale AI cloud environments.

Growth and Global Scale.

Over the past 12 months, Netris has experienced 800% ARR growth and now supports more than 35 live deployments across leading neoclouds, sovereign AI operators, and AI factory environments. These deployments exceed the combined footprint of all other network automation vendors in the market.

The company operates across the United States, the United Kingdom, Taiwan, Australia, Armenia, and India, with expansion into Singapore planned for 2026.

Why AI Clusters Require a New Network Automation Foundation.

Modern AI clusters operate across multiple network fabrics simultaneously, including Ethernet (such as NVIDIA Spectrum-X), NVIDIA Quantum InfiniBand, NVL72, BlueField DPUs, and virtual or edge networking layers. Each fabric introduces its own control plane, configuration model, and operational behavior, creating a highly fragmented infrastructure environment.

Legacy network automation approaches were not designed for this level of heterogeneity. Building custom automation in-house is slow, difficult to maintain, and often breaks with each new reference architecture. At the same time, traditional controllers and fabric managers typically lack the multi-tenancy, scalability, and cloud-native capabilities required by modern AI infrastructure operators.

The Next Generation of Network Automation.

Netris’ NAAM (Network Automation, Abstraction, and Multi-Tenancy) platform extends beyond SDN and intent-based networking by unifying control across multiple network fabrics under a single operational layer. It enables operators to manage heterogeneous GPU cloud environments with consistent policies, automated provisioning, and hardware-enforced multi-tenancy.

With NAAM, GPU clouds can be deployed in weeks, tenants can be provisioned instantly with built-in isolation, and capacity can be dynamically reallocated to maximize utilization across workloads. This reduces operational overhead while improving scalability and efficiency in AI infrastructure environments.

Guido Appenzeller, Partner at Andreessen Horowitz, noted that each major computing era has required a new networking foundation, from virtualized data centers to cloud infrastructure, and that AI introduces a similar shift. He highlighted that GPU clusters span multiple fabrics, making legacy automation insufficient, and positioned Netris as a key platform for standardizing AI cloud networking.

AI Infrastructure Ecosystem.

Netris operates within a broad AI infrastructure ecosystem anchored by NVIDIA and extending across GPU, networking, compute, and platform-as-a-service providers. This ecosystem includes partners such as Mirantis, Rafay, Red Hat, Spectro Cloud, vCluster, and HPE, each contributing different layers of the AI infrastructure stack.

Within this environment, Netris serves as the core network automation and multi-tenancy layer, enabling operators to orchestrate complex GPU cloud environments. Together, these technologies support the deployment, operation, and monetization of large-scale GPU infrastructure.

The Road Ahead.

This Series A funding accelerates Netris’ leadership in network automation for GPU clusters as AI cloud operators continue building out the largest infrastructure expansion in history. The capital will be used to expand the team, strengthen global operations, and grow the company’s partner ecosystem as AI infrastructure scales worldwide.

Alex Saroyan, CEO and Co-Founder of Netris, noted that the company’s multi-year platform investment has resulted in widespread adoption across leading AI clouds, now powering more than 35 live deployments. He highlighted the role of Andreessen Horowitz in backing foundational infrastructure companies and positioned Netris as a next-generation networking platform purpose-built for AI-era data centers.