Netris, a Santa Clara-based startup focused on automating networking within GPU data centers, has secured $15 million in a Series A funding round led by Andreessen Horowitz (a16z). The investment underscores growing demand for streamlined infrastructure solutions in the rapidly expanding AI and machine learning landscape.
Addressing a Critical Bottleneck
The company's core offering targets a major inefficiency in modern GPU cloud environments: the complex and often manual networking processes that slow down compute-intensive tasks. As organizations increasingly rely on large-scale GPU clusters for AI training and inference, the need for automated, scalable networking has become paramount. Netris aims to eliminate the manual configuration and management of these networks, enabling faster deployment and more efficient resource utilization.
Strong Market Momentum
Netris claims to have achieved an 800% annual recurring revenue growth and has already deployed its technology in more than 35 GPU clusters globally. These deployments span various sectors, including cloud providers, AI research labs, and enterprise data centers. The company's success reflects a broader industry shift toward automation and efficiency, especially as the demand for AI infrastructure continues to surge.
Looking Ahead
The new funding will be used to expand Netris’s engineering and sales teams, accelerate product development, and deepen its presence in key markets. With a16z’s backing, the startup is well-positioned to capture a larger share of the growing AI infrastructure space. As AI becomes more embedded in business operations, tools that simplify and optimize the underlying infrastructure—like Netris—will likely play a crucial role in shaping the future of compute.
