Mayfield Hires Cerebras Early Investor Adit Singh as Infrastructure Partner for Chips, Cybersecurity and Physical AI

TL;DR

• Adit Singh, one of the earliest investors in AI chip unicorn Cerebras Systems, has joined Mayfield as an Infrastructure Partner based in Menlo Park.
• In his new role, Singh will lead new investments for Mayfield across semiconductors, cybersecurity, and physical AI, spanning chips to robotics and embodied intelligence.
• The hire underscores Mayfield's deepening push into deep tech and AI infrastructure as the firm looks to back foundational companies beyond traditional enterprise software.

From Early Believer in Cerebras to Mayfield Partner

Mayfield has brought on Adit Singh as its newest Infrastructure Partner, tapping a well-known deep tech investor with one of the most prescient bets in AI hardware to help lead its next wave of infrastructure investments. Singh joins the Silicon Valley firm after building a reputation as an early backer of Cerebras Systems, the Sunnyvale-based AI chip unicorn famous for its Wafer-Scale Engine.

At Mayfield, Singh will be focused on early-stage investing, leading deals and joining boards at the seed and Series A stages. He will be based out of Mayfield's Menlo Park headquarters and work closely with the firm's existing enterprise and AI infrastructure team.

A Track Record Built on Hard Tech

Singh's name is most closely associated with Cerebras, where he invested well before the company became a centerpiece of the generative AI hardware boom. That early conviction in a non-obvious, capital-intensive semiconductor architecture has become a calling card for his investment style: backing highly technical founders building difficult, defensible technology.

Beyond Cerebras, Singh has built a portfolio across the broader infrastructure stack, with investments spanning data infrastructure, developer tools, and security. His approach has consistently favored founders with deep technical moats tackling problems at the silicon and systems level, rather than application-layer plays. Colleagues describe him as a founder-first investor who is comfortable underwriting long development cycles and complex go-to-market paths that many generalist investors avoid.

At Mayfield, that experience will be put to work across three core pillars.

Inside the New Mandate: Chips, Cybersecurity and Physical AI

Singh's mandate at Mayfield is deliberately broad but tightly themed around the future of AI infrastructure. He will lead investments in three areas: semiconductors and AI compute, cybersecurity, and physical AI.

The semiconductors remit goes beyond AI accelerators to include the full compute stack, from novel chip architectures and chiplets to the software and systems needed to make them deployable. Cybersecurity, a long-standing strength for Mayfield, is being reframed for the AI era, with a focus on securing AI models, data pipelines, and autonomous agents as enterprise attack surfaces expand.

The third pillar, physical AI, is the most forward-looking. The term encompasses robotics, autonomous systems, and embodied intelligence where AI models interact with the physical world. For Mayfield, it represents a natural extension of its AI infrastructure thesis, moving from data centers to factories, warehouses, and edge devices.

Singh is expected to be highly active on new deals immediately, with Mayfield noting he will lead investments independently while collaborating with the partnership on its AI and deep tech strategy.

What Singh's Appointment Signals for Mayfield

For Mayfield, a firm with a 55-year history and more than $3 billion in assets under management, the hire is a clear statement of intent. While the firm is known for enterprise, consumer, and human-centric AI investments, it has been steadily increasing its exposure to deep tech and AI infrastructure over the last several funds.

Bringing in a dedicated Infrastructure Partner with a chip-level background signals that Mayfield sees the next generation of venture-scale outcomes coming from the foundations of AI, not just the applications built on top of it. As the AI boom matures from model training to inference, deployment, and real-world actuation, venture firms are racing to back the picks-and-shovels layer that makes it all possible.

Singh's appointment also reflects a broader shift in Silicon Valley venture. After a decade dominated by software and SaaS, leading firms are once again building expertise in semiconductors, advanced computing, and frontier hardware, areas that require specialized diligence and deep founder networks. By adding an investor who has already navigated the journey from lab to unicorn in AI chips, Mayfield is buying that expertise directly.

The timing is notable. With Cerebras now valued in the multi-billion-dollar range and pushing toward public markets, and with physical AI startups attracting unprecedented early-stage capital, Mayfield is positioning Singh to help define its next chapter of infrastructure investing at a moment when AI is moving from the cloud into the physical world.

Why This Move Matters Now

The competition for AI infrastructure deals has never been more intense. Capital is flooding into AI chips, AI-native security platforms, and robotics startups, but few investors have a track record of backing winners at the earliest stages before the hype cycle begins.

For founders building in these categories, Singh offers a rare combination of early-stage conviction and hard-won experience scaling a deep tech company through technical and market risk. For Mayfield, his arrival adds a specialist who can credibly lead complex technical deals while connecting portfolio companies to the firm's broader enterprise network.

If the Cerebras bet showed Singh's ability to spot foundational infrastructure early, his next chapter at Mayfield will test whether that playbook can be repeated across the next wave of chips, security, and intelligent machines.

AndroGuider Team

Articles written by the AndroGuider team. We try to make them thorough and informational while being easy to read.