Equinix reported Q2 revenue of $2.6 billion, driven by sustained AI data center demand, keeping its stock above $1,070.
The market values Broadcom (NASDAQ: AVGO), Advanced Micro Devices (NASDAQ: AMD), and Nvidia (NASDAQ: NVDA) differently because each plays a distinct role within the AI infrastructure stack. The single metric that captures this divergence is how much each company owns the broader AI system, rather than merely supplying individual chips—a concept best described as their “AI system control share.” Fundamentally, AI system control share represents the portion of a company’s AI revenue derived from selling integrated platforms, including hardware, software, and reference architectures, rather than just individual AI components. Essentially, it measures whether a company sells the whole pizza, and not just the cheese, pepperoni, or bread. When cloud providers or enterprises architect an AI cluster, this metric answers a straightforward question: whose architecture defines the system? A high AI system control share means a company dictates system design, selects core components, owns the software layer, and captures a substantial portion of the total budget. Conversely, a lower share indicates a supplier of critical components that must fit within another entity’s blueprint.
Nvidia scores highest on this metric. Its data center division generated more than $80 billion in revenue during the first half of fiscal 2026, with data centers now representing over 90% of total sales. These figures extend far beyond bare silicon. Nvidia sells complete solutions, including full racks like the GB200 NVL72, DGX systems, networking equipment, and the CUDA software platform that operates atop the hardware. When hyperscalers or large enterprises plan new AI clusters, they frequently begin with Nvidia’s reference designs and toolchains, building the remainder of the infrastructure around them. This positioning grants Nvidia exceptional influence over model deployment, developer ecosystems, and data center wiring. The market rewards this level of control with premium valuations, supported by strong pricing power, robust margins, and extended hardware and software upgrade cycles. Furthermore, Nvidia was the first major breakout leader of the AI boom, earning immense brand recognition and sustained investor appeal.
Broadcom occupies the opposite end of the spectrum. It designs custom AI accelerators and high-speed switches for hyperscalers, emerging as the dominant co-designer of AI ASICs. Broadcom reported approximately $8.4 billion in AI semiconductor revenue for the first quarter of fiscal 2026, a 106% year-over-year increase, alongside a disclosed AI chip backlog nearing $73 billion and a target of $100 billion in AI revenue for 2027. While these metrics are impressive, the resulting chips carry customer branding. They power Alphabet TPUs, Meta Platforms accelerators, and OpenAI clusters under the clients’ names. Broadcom defines block diagrams and power envelopes, yet customers retain control over the overall system architecture and higher-level software. This arrangement yields strong, contract-backed revenue but results in a comparatively lower AI system control share.
AMD operates between these two extremes. Its Instinct MI350 series and forthcoming MI400 generation directly compete with Nvidia in the data center GPU space, featuring specifications such as 288 gigabytes of HBM3e memory and 8 terabytes per second of bandwidth—attributes highly valuable for memory-bound large language models. AMD integrates these accelerators with EPYC CPUs and Pensando networking within its Helios rack-scale design, providing a comprehensive system blueprint for customer adoption. Simultaneously, AMD promotes an open software ecosystem through ROCm and partners with major cloud providers. This strategy elevates its AI system control share, as AMD no longer supplies standalone GPUs but offers a cohesive platform capable of defining specific deployments, particularly when buyers prioritize cost per token, memory capacity, and power efficiency. Nevertheless, Nvidia still dominates the broader ecosystem, and many enterprises continue to view AMD as a viable alternative rather than the default choice.
Nvidia’s dominant AI system control share allows it to capture a disproportionate portion of deployment budgets, reinforced by software lock-in and enduring platform relationships. Consequently, its market valuation reflects a premium for a fully controlled ecosystem. Broadcom’s lower control share still drives robust growth, though it remains reliant on a concentrated hyperscaler customer base and faces margin compression on custom projects. AMD sits in the middle, presenting upside potential if it can successfully translate competitive hardware performance and software improvements into broader full-system wins.
Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue »
Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $432,621!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,335,314!* Now, it’s worth noting Stock Advisor’s total average return is 973% — a market-crushing outperformance compared to 213% for the S&P 500. Don’t miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
*Stock Advisor returns as of August 20, 2026.
Micah Zimmerman has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Broadcom, Meta Platforms, and Nvidia. The Motley Fool has a disclosure policy.