Netris has successfully secured funding in its Series A round, aimed at expanding its network management solution specifically for GPU data centers. The company has gained significant traction, with operators running nearly $1 billion data centers on Netris software after eight years of development. As the complexity of AI infrastructure grows due to the need for dynamic configuration across various networking protocols and technologies, Netris addresses this challenge through automation, solidifying its position as a key player in AI networking. The firm has reported an impressive 800% growth in annual recurring revenue over the past year and boasts over 35 active AI cluster deployments, making it a critical resource for large-scale GPU operations.
Netris: Netris develops network automation software tailored for large-scale GPU data centers and cloud environments. The company focuses on managing complex multi-network fabrics required by AI infrastructure. This Series A funding will help expand its platform for operators building and scaling AI clusters.
Jason Cui: Jason Cui is an investor at a16z who co-led the Netris Series A. He focuses on infrastructure and AI-related technologies. His involvement highlights the firm’s interest in networking solutions for the evolving AI data center landscape.
Alex Saroyan: Alex Saroyan is a co-founder of Netris and leads the company’s vision for automated networking in cloud and AI settings. He has driven development of solutions that address the dynamic configuration needs of GPU clusters and related fabrics. His role is central to the recent Series A round and partnerships advancing AI infrastructure.
Raghu Raghuram: Raghu Raghuram is a partner at a16z involved in the firm’s investment in Netris. He brings expertise from prior work in data center networking at companies like VMware. His participation in the Series A strengthens Netris’ board and strategic direction for AI-focused networking.
Arsen Arakelyan: Arsen Arakelyan is a co-founder of Netris who contributed to building its core network automation technology over multiple years. He helped position the platform to support complex AI networking requirements including multi-tenancy and diverse protocols. His efforts underpin the company’s growth in serving AI cloud operators.
Tigran Martirosyan: Tigran Martirosyan is a co-founder of Netris and played a key role in developing its automation capabilities for data center networks. He focused on making advanced hyperscale-style networking accessible to a broader range of operators. His contributions support Netris’ expansion amid rising AI infrastructure demands.
AI Networking: Networking has emerged as one of the most challenging aspects of AI infrastructure due to the need to coordinate multiple fabric types and protocols in GPU clusters.
Data Center Evolution: Data center networking requirements are advancing rapidly alongside compute demands, with automation becoming essential for reliability and scale in GPU environments.
Ecosystem Partnerships: Collaboration with hardware and orchestration providers is enabling comprehensive solutions for launching and operating AI clouds.