The first thing you notice when you stand in front of the rack-lined hallways of a hyperscale data center in northern Virginia is the sound. Only the occasional clack of a cooling fan turning up a gear breaks the low, ocean-like hum. The area is devoid of engineers. The unglamorous machinery that truly powers the entire artificial intelligence narrative is housed in rows of cabinets that blink softly.
Investors are still figuring out how to price this aspect of the AI boom. The headlines go to the chatbots. The magazine covers are given to the chip designers. However, the wiring, cables, edge nodes, and connectivity fabric that connect a million GPUs have begun to appear in portfolios in ways that resemble a wager on the laws of physics rather than a tech wager.
| Topic Snapshot | Details |
|---|---|
| Theme | The infrastructure layer beneath the AI boom — connectivity, edge networks, semiconductors |
| Spotlight Companies | Credo Technology, Fastly, CoreWeave, Astera Labs, Nebius |
| Sector | AI infrastructure, hyperscaler supply, edge cloud |
| Credo’s 2024 Stock Move | Approximately 245% rise during the AI buildout |
| Notable Customers | Amazon and other hyperscalers anchoring Credo’s revenue base |
| Manufacturing Partner | TSMC (outsourced fabrication for Credo‘s chips) |
| Fastly’s Core Business | Edge content delivery, real-time data routing, security at the network edge |
| CoreWeave 2025 Revenue | Roughly $5.1 billion, up from $1.9 billion in 2024 |
| Forecasted AI Market Size | Estimated to expand toward $1.7 trillion by 2031 (per Statista projections) |
| Reference Reading | Industry coverage at Yahoo Finance |
| Article Length | 500–600 words |
It’s odd to watch Credo Technology. A company that was virtually unknown outside of the semiconductor industry until recently. Active electrical cables, the company’s product, sounds like something from a wholesale catalog. However, as hyperscalers realized their AI clusters couldn’t truly operate without the kind of low-power, high-speed interconnects Credo specialized in, Credo’s shares increased by about 245% in 2024 and then more than doubled again the following year. Speaking with industry insiders, it seems that Credo was fortunate in the same way that well-prepared businesses occasionally are, having created the ideal product just when the world needed it most.
It’s a different animal, Fastly. It operates an edge computing platform and content delivery network, which brings data, models, and inference closer to the user’s location. For many years, Fastly was a low-key wager on internet plumbing, occasionally shaken by a well-publicized outage that momentarily shut down half of the internet. Since real-time inference at the edge is increasingly becoming something that businesses must pay for, it is now being reframed as an AI play. It’s still unclear if the market’s enthusiasm will last. Although the fundamentals are gradually getting better, Fastly hasn’t yet had the kind of breakthrough quarter that dispels doubts.
The loud one is CoreWeave. With management aiming for $12 to $13 billion this year, revenue is expected to soar from $1.9 billion in 2024 to over $5 billion in 2025. a long-term agreement with Perplexity. a more than $6 billion backstop deal with Nvidia that effectively ensures demand through 2032. It’s too early to tell whether this growth curve will result in a successful IPO retrospective or a sobering case study.
AI exposure is not the only thing that connects Credo, Fastly, and CoreWeave. Each of them is situated closer to the real physics of moving electrons and packets, one layer below the apparent AI trade. As this develops, it’s difficult to avoid thinking of the early dot-com era, when firms like Cisco subtly rose to prominence on Wall Street while everyone else was preoccupied with pets.com. Of course, the risk is the same as it has always been with infrastructure. focus on the customer. stretched appraisals. hyperscaler capex cycles that have the potential to abruptly become cold. Investors appear to think there are still years left in the AI buildout. Most likely, they are correct. In 1999, they were likely correct for a short while.
