<p><strong>SANTA CLARA</strong> &#8212; <a href="https://cts.businesswire.com/ct/CT?id=smartlink&;url=https%3A%2F%2Fnetris.io%2F&;esheet=54560096&;newsitemid=20260625950363&;lan=en-US&;anchor=Netris&;index=1&;md5=1006ad2ed088bcd032b2b795f1a5e394" target="_blank" rel="nofollow noopener" shape="rect">Netris</a>, a provider of network automation and multi-tenancy for AI infrastructure, has landed a $15 million Series A round led by <a href="https://cts.businesswire.com/ct/CT?id=smartlink&;url=https%3A%2F%2Fa16z.com%2F&;esheet=54560096&;newsitemid=20260625950363&;lan=en-US&;anchor=Andreessen+Horowitz&;index=2&;md5=dd6f30da313b44ac4416acdb5d05daa2" target="_blank" rel="nofollow noopener" shape="rect">Andreessen Horowitz</a>. The round follows 800% ARR growth reported by the company and 35+ live deployments over the last 12 months, as AI cloud operators worldwide standardize on Netris&#8217; NAAM (Network Automation, Abstraction, and Multi-Tenancy) platform to turn their GPUs into revenue.</p>
<p>AI will require trillions of dollars in investment, with only a few hundred billion deployed so far. 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 racing to capture that market, every idle GPU is lost revenue, provisioning delays directly hit time-to-first-revenue, and cloud-provider-grade capabilities are table stakes to win and keep customers.<b></b></p>
<p>Network automation is where operators get stuck. A single GPU server carries at least 3 North/South, 16 East/West, and 4 NVL72 connections, and every time a tenant is added, resized, or removed, the network must be reconfigured in concert across every layer at once — sometimes hundreds or thousands of switches at a time. One misconfiguration can take a cluster down or leak one tenant&#8217;s data to another. Netris NAAM is the leading platform for many of the world’s largest AI clouds, automating network operations and enforcing hard multi-tenancy on networking hardware, so operators can securely share GPUs across tenants.<b></b></p>
<p>Netris has been chosen by AI cloud operators worldwide, now with 35+ live deployments: high-growth neoclouds, including Lightning AI, STN, Boost Run, and TensorWave; sovereign AI cloud providers, including TELUS, DCAI, and YOTTA; AI factories, including Foxconn-backed Visionbay.ai, operator of Taiwan&#8217;s largest GPU cluster, and Firmus, operator of Australia&#8217;s largest renewable-powered sovereign AI factory; and AI platform providers like HPE, which delivers a full-stack AI solution for customers in research, education, and state and local government.</p>
<p>&#8220;Netris spent years building the platform AI cloud operators now standardize on,&#8221; said Alex Saroyan, CEO and co-founder of Netris. &#8220;That foundation is why we&#8217;ve reached 35+ live deployments at many of the largest AI clouds in the world and built the ecosystem around them. Andreessen Horowitz has a long track record backing category-defining infrastructure companies. Martin Casado, Raghu Raghuram, and Guido Appenzeller revolutionized networking for datacenters. Netris is doing the same for AI.”</p>

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