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Lightspeed, A16z back Nexthop AI at $4.2b valuation

Nexthop AI said it closed an oversubscribed US$500 million series B led by Lightspeed Venture Partners at a US$4.2 billion valuation.

Nexthop AI is a Santa Clara-based company that builds switching solutions for hyperscalers and NeoClouds.

Andreessen Horowitz, Altimeter, and existing investors also joined the round, the company said.

Guru Chahal of Lightspeed said his firm sees a large infrastructure opportunity and cited Nexthop’s focus on performance and open software.

Raghu Raghuram of Andreessen Horowitz said networking is now central to AI cluster performance and that his firm plans to back Nexthop as it scales.

The company said it launched a range of products aimed at scale-out, scale-across, and front-end AI and cloud data center applications and said it continues to invest in expanding R&D and infrastructure capabilities.

Nexthop is headquartered in Santa Clara and has offices in Seattle, Vancouver, Dublin, and Bengaluru, India.

🔗 Source: Nexthop AI

🧠 Food for thought

Implications, context, and why it matters.

Nexthop’s funding speeds up the AI infrastructure race

  • Nexthop AI raised US$500 million, up from the US$110 million it took in when it emerged from stealth in March 2025 1.
  • The new cash supports co-developing hardware and software with hyperscalers plus NeoCloud customers, meaning large cloud providers and newer specialized operators 2.
  • Customers get pre-integrated turnkey systems rather than building white-box solutions (generic, build-it-yourself networking hardware) or buying gear then integrating it themselves 2.
  • Investors also care about open software. Nexthop AI is a Premier member of the SONiC Foundation and sits on the SONiC Governing Board. SONiC is an open-source network operating system (NOS) hosted under the Linux Foundation 3.

Specialized networking opens another AI hardware battleground

  • Its roadmap targets scale-out and scale-across networking, including connections between far-apart data centers for very large AI workloads 4.
  • Faster GPUs alone do not settle performance. Data movement across many chips plus systems also sets the pace 4.
  • Hyperscalers and NeoClouds want networking gear that fits custom power, cooling, and connectivity designs, which squeezes one-size-fits-all vendors 2.
  • Nexthop sits in a wider group of startups working on data bottlenecks, from optical interconnects (high-speed links that use light) to unique compute fabrics (specialized ways of connecting compute resources) 5.

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