Delos Data has raised more than $100 million to launch Delos Nonstop AI, an infrastructure platform designed to address networking and data-movement bottlenecks as agentic AI workloads put increasing pressure on data centers. Investors include Matrix, Playground, Socratic Partners, Capricorn’s Technology Impact Fund, Matter Venture Partners, IAG, and industry executives spanning compute, hyperscale infrastructure, networking silicon, infrastructure software, and optical connectivity.
The company plans to expand its hardware and software engineering teams and accelerate product development and sales.
Delos’ thesis is that networking, rather than raw processing power alone, is becoming a major constraint on AI inference.
Agentic workloads can remain active for extended periods and move data continuously among GPUs, other accelerators, CPUs, memory and storage. Delos argues this makes moving information between those components increasingly important to overall AI system performance.
Industry projections cited by the company anticipate roughly a 300-fold increase in token demand by 2030, with agentic inference representing much of that growth.
Alongside the financing, Delos introduced its Nonstop AI Reference Architecture and Nonstop AI Data Interface.
The company said the Data Interface can deliver 10 times lower latency and 10 times greater efficiency. It joins the previously announced Nonstop AI Cluster and Nonstop AI Server.
The architecture is designed to let customers combine different hardware, AI models and network topologies within a single operating domain rather than requiring one homogeneous infrastructure stack.
Delos is positioning the network as a core component of AI infrastructure economics because high-value GPUs and accelerators generate less return when they remain idle waiting for data.
The company is developing technology across software, systems and silicon to reduce that bottleneck and improve utilization of expensive inference infrastructure.
KEY QUOTES:
“The most expensive idle asset in a data center is a GPU, CPU or an accelerator waiting on the network. Inference workloads move data in a way that today’s interconnect was never designed to serve. This funding positions the company to expand our team and offerings to solve the data transfer problem holistically by optimizing the network as the core of the AI system, thereby maximizing infrastructure ROI and ensuring that AI can scale to keep pace with massive growth in AI Inference.”
Ed Doe, CEO and Co-Founder of Delos Data
“Agentic AI is scaling beyond a single device, and when that happens performance isn’t solely determined by the processors, it’s decided by how the data moves between them. Agentic AI needs a data interface that’s fast and doesn’t break under load. This funding means we can accelerate product development and deliver as fast as our customers need us to.”
Dan Daly, CTO and Co-Founder of Delos Data
“Delos is attacking the part of the AI stack where the value is now getting decided. For years the assumption was that more compute buys more output. That relationship has broken down at inference scale, and the team that fixes the data transfer problem captures an enormous amount of the value the industry is currently leaving on the floor.”
Stan Reiss, General Partner at Matrix Partners
“Adding compute to an inference problem is not enough. AI and Inference performance is a network problem now – the network is the AI. Delos started from the workload and let it dictate the architecture all the way down to the interface silicon. That discipline is what turns an interconnect idea into infrastructure the industry can actually deploy.”
Pat Gelsinger, General Partner at Playground Global
“Compute has been the story for over a decade, but the return on an inference cluster is now set by what happens between the accelerators, and how much capital sits idle as insurance against failure. Delos is building at that layer, with founders who have shipped data center silicon before, and doing it so that today’s GPU and accelerator ecosystems can adopt it seamlessly. We see strong demand across frontier labs, hyperscalers, neoclouds, and sovereign AI programs, and this investment reflects our confidence in the firm’s ability to become a core infrastructure provider in this space.”
Christian Gallagher, General Partner and Co-Founder at Socratic Partners
“We have a history of investing in companies that are working on breakthrough technologies that can produce outsized impact. Delos is solving the data movement problem that Agentic AI inference is facing. This team has expertise across the full stack – architecture, software, systems, silicon, and have great momentum with customers and partners across the ecosystem.”
Dipender Saluja, Managing Partner at Capricorn’s Technology Impact Fund
“Success of HardTech startups takes patience and a team that has shipped before. This team has worked together to build data center silicon and systems at scale for two decades. Delos has built software, then an AI server, and now is building the data interface silicon that will solve the AI inference data transfer problem.”
Wen Hsieh, Founding Managing Partner at Matter Venture Partners
