Eridu raises $200M to advance AI networking infrastructure. 11 March 2026 Key Takeaways * Eridu raises $200 million to develop its high-radix AI networking platform. * The company targets next-generation AI data centres facing network bottlenecks. * Funding supports system development for million-GPU scale domains. Eridu secures $200 million to transform AI networking. Eridu has raised more than $200 million to advance a new class of AI networking systems. The round was led by Socratic Partners. It also included investors such as John Doerr, Hudson River Trading and Capricorn Investment Group. The company wants to complete its high-radix switching platform. It also aims to accelerate deployment of networking infrastructure designed for million-GPU systems. The company is based in Saratoga. It is led by founder and CEO Drew Perkins. He wants to break the long-standing "network wall" limiting AI data centre performance. He said current data centres rely on multi-tier switch setups. These setups cause high latency and create serious scaling challenges. He believes a clean-sheet architecture is now required. Eridu's system replaces dozens of traditional switches with a single platform. This reduces tiers. It cuts latency. It lowers power use. It also reduces capital costs for hyperscalers and neocloud operators. The company says that networking has failed to keep pace with the rapid rise in GPU performance. A new approach to AI infrastructure. Eridu wants to rethink network architecture at the silicon level. It works with TSMC on advanced manufacturing. This partnership allows the company to integrate more networking features into each chip. This means fewer boxes and fewer hops. It also means a more efficient use of power across dense AI workloads. Drew Perkins has deep experience in network systems. He began his career in the 1980s. He helped create the PPP standard that became core internet technology. His earlier startups include Lightera Networks and Infinera. Both were acquired. His most recent venture was Mojo Vision. He said a conversation with Sam Altman pushed him to rethink AI infrastructure from the ground up. He realised AI now runs on millions of GPUs. He also realised the biggest bottleneck is communication between chips. This bottleneck limits AI progress. He said the industry must adopt an entirely new approach to switching and interconnect systems. Eridu reflects that shift and focuses on high-radix design. Investor backing and industry confidence. Eridu's investors believe the company is building core infrastructure for the next decade of AI. Socratic Partners said new AI workloads demand a complete shift in network design. They said Eridu's approach improves throughput. It also improves reliability. They believe the platform will support nearly all future high-scale AI systems. John Doerr joined the round. Matter Venture Partners and Hudson River Trading also backed the company. They said existing networking vendors move too slowly. They also said the industry cannot rely on incremental improvements. Current systems increase power use and cooling demand. They also increase latency. This slows down every AI inference and training cycle. These investors believe Eridu's architecture solves the real bottleneck: bandwidth. They said networking must scale far faster. They said GPUs now improve at ten times the rate of switch hardware. This mismatch creates inefficiencies at global scale. Building for million-gpu AI systems. Eridu wants to support the next generation of AI systems. These systems use massive mixtures-of-experts models. They also rely on disaggregated compute. Each model requires advanced switching. It also requires sustained high-bandwidth communication across thousands of nodes. Eridu aims to meet that requirement. The company's platform is designed for hyperscalers. It is also built for frontier labs and large enterprise AI operators. Eridu wants to replace optical links with integrated chip-level communication. The company said optics are one of the least reliable parts of data centres. Reducing hardware dependence improves reliability. Industry analysts note rising AI demand across every region. They say global capacity growth is limited by network performance. They also say every improvement in networking efficiency compounds AI output. A credible external report from Gartner highlights the widening gap between compute and interconnect performance. Building toward global AI network adoption. Eridu plans to scale its team and expand customer pilots. It wants to accelerate system testing. It also wants to deepen engagement with hyperscalers building new AI clusters. The company believes its clean-sheet design offers a long-term advantage. It plans to refine the platform as AI workloads evolve. Drew Perkins said the goal is simple. Networking should no longer constrain AI development. He said Eridu is committed to building the next generation of high-performance data centre systems. He also said the team has the technical depth to achieve this. To stay updated on crypto venture capital funding and market trends, visit our venture capital news section for more insights. Clinton Nwachukwu is a crypto and finance writer with an MBA in Artificial Intelligence and 6+ years of experience creating content for leading global brands. He turns complex topics into clear, actionable insights for readers worldwide. Disclaimer VentureBurn is a media platform covering the latest in cryptocurrency, artificial intelligence, venture capital, and the startup ecosystem. Opinions expressed on VentureBurn are for informational purposes only and do not constitute investment advice. Before making any high-risk investments in digital assets or emerging technologies, readers should conduct their own due diligence. 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With $200M in funding, Eridu wants to break through the network wall holding back AI. Eridu Corp. wants to break through the artificial intelligence networking "wall" after raising $200 million in early-stage funding today. The money from the Series A round will help it to commercialize an all-new network switch that promises to scale AI workloads to unprecedented heights. Today's round was led by Socratic Partners, venture capitalist John Doerr, Hudson River Trading, Capricorn Investment Group and Matter Venture Partners. It also saw participation from some major players in the chipmaking industry, including MediaTek Inc. and Taiwan Semiconductor Manufacturing Co., which invested through its VentureTech Alliance investment vehicle. Chief Executive Drew Perkins (pictured center, alongside his team) told SiliconANGLE that billions of dollars of investment in data centers are going to waste because of a huge bottleneck in AI networks, which simply cannot cope with the massive volumes of data that need to be moved around. The situation is getting worse, he said, because new chip architectures and algorithmic innovations are increasing the demands for data, but existing networks simply cannot keep up. According to Perkins, existing networking companies have laid out roadmaps that only promise incremental enhancements in performance, because they're focused on improving existing architectures. But these are being pushed to their limits. "Networking technology has fallen so far behind that a completely new design is required," he said. "The plodding pace of subscale improvement promised by other existing and new solutions is simply inadequate to solve the problem." Perkins said that the bandwidth, latency, power consumption and radix (the number of input/output ports) of existing network switches are tightly coupled to the silicon architecture they're based on, which was designed for cloud data centers that are much smaller than today's emerging AI factories. "This silicon architecture has fundamentally been the same for the last two decades and is only incrementally improved with a doubling of capacity every two to 2.5 years," he said. "We believe that these incremental improvements leave a lot of performance on the table." Eridu's solution, Perkins explained, is a completely redesigned network switch architecture that promises to deliver an "order-of-magnitude" advance in performance and efficiency and enable previously impossible capabilities. He didn't reveal too much about the new switch because it has not yet launched, but said it's based on a "clean-sheet silicon architecture" that's designed to take full advantage of the most advanced silicon and packaging technologies. That allows a single high-radix Eridu switch to replace up to 30 lower-level radix switches, resulting in a much flatter network with lower latency and significantly lower power dissipation, with improved tokens-per-watt and tokens-per-dollar metrics. The switch reduces both latency and network "jitter" to enable data center operators to dramatically increase the scale of their graphics processing unit clusters, he said. He believes customers will ultimately be able to scale out their domains to millions of GPUs, while enjoying savings of up to 40% on their capital expenditures and benefit from faster deployment. The funding from today's round will help to accelerate the development of the switch and support the company's recruiting efforts as it looks to take the next step and bring it to market. Dylan Patel, an analyst with SemiAnalytics, said Eridu's switch is a promising development because there's an urgent need for redesigned network switches because the demands for bandwidth and scale are accelerating beyond what existing architectures can feasibly support. He was effusive in his praise for the startup's technology. "Eridu's networking technology is purpose-built for massive AI scale, supporting both scale-out and scale-up," he said. "It will enable more bandwidth, larger AI clusters and lower costs and deliver the next level of interconnect scale required to meet the insatiable demands of accelerated compute." Eridu doesn't have any official customers yet, but Perkins said the development of its silicon, systems and software has come far along, and the company is working closely with a number of "leading hyperscalers." He added that they have "completely validated" the company's product definition and have been deeply involved in helping to shape its design to fit the requirements of their data centers. "We cannot name them due to NDAs, but they are deeply engaged," he promised. Images: Eridu. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. 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