Netris Raises $15M Series A for GPU Network Automation

Netris Secures Series A to Scale GPU Network Automation

Netris announced a $15 million Series A funding round led by Andreessen Horowitz, with partner Guido Appenzeller joining the company's board. The Santa Clara-based startup provides network automation and multi-tenancy software for AI infrastructure operators, according to details first reported by Business Wire.

The funding follows significant traction: Netris reported 800% annual recurring revenue growth over the past 12 months and now counts more than 35 live deployments across AI cloud operators worldwide. Customers include neocloud providers Lightning AI, STN, Boost Run, and TensorWave; sovereign AI operators TELUS, DCAI, and YOTTA; and AI factories including Visionbay.ai, which operates Taiwan's largest GPU cluster.

Why it matters

As organizations race to deploy AI infrastructure, network complexity has emerged as a critical bottleneck. A single GPU server requires at least 23 distinct network connections across multiple fabric types, and every tenant change demands coordinated reconfiguration across potentially thousands of switches. Netris addresses this operational challenge at a time when IDC projects the AI infrastructure market will reach $758 billion by 2029, with AI generating $22.3 trillion in global economic impact by 2030. For operators where every idle GPU represents lost revenue, network automation directly impacts time-to-market and competitive positioning.

The Multi-Fabric Challenge

GPU clusters operate across multiple network fabrics simultaneously—Ethernet (including NVIDIA Spectrum-X), NVIDIA Quantum InfiniBand, NVL72, NVIDIA BlueField DPUs, and virtual and edge networking. Each fabric maintains its own control plane and operational requirements. Legacy network automation tools were designed for simpler architectures and lack the multi-tenancy capabilities AI cloud operators require.

Netris developed what it calls the NAAM platform—Network Automation, Abstraction, and Multi-Tenancy—which provides a unified control plane across all fabric types. The platform enforces tenant isolation at the hardware level and enables operators to provision new tenants instantly while dynamically reallocating GPU capacity.

"GPU clusters run across many fabrics at once, and legacy automation was never built for that," Appenzeller said. "Netris is the platform AI cloud operators standardize on to solve it."

Ecosystem and Expansion Plans

Netris has built partnerships across the AI infrastructure stack, anchored by NVIDIA and including compute and platform-as-a-service vendors such as Mirantis, Rafay, Red Hat, Spectro Cloud, and vCluster. HPE uses Netris to deliver full-stack AI solutions for research, education, and government customers.

The company operates teams across the United States, United Kingdom, Taiwan, Australia, Armenia, and India, with plans to open a Singapore office in 2026. Netris will use the Series A funding to expand its team and global presence while growing its partner ecosystem.

CEO and co-founder Alex Saroyan said the company's foundation explains its deployment scale: "Netris spent years building the platform AI cloud operators now standardize on. That foundation is why we've reached 35+ live deployments at many of the largest AI clouds in the world."

Details of the funding round were first reported by Business Wire.