Key Takeaways
- Nvidia shares declined 0.3% to $202.14 during premarket hours on Friday
- Meta is set to begin production of its proprietary AI processor, nicknamed “Iris,” starting in September
- The new processor is intended to complement, rather than eliminate, GPU acquisitions from Nvidia and AMD
- Tech giants Google and Amazon are similarly positioning their custom AI chips for external sales
- Industry experts suggest Nvidia’s revenue from major cloud providers may continue expanding despite losing market share percentage
Shares of Nvidia traded 0.3% lower at $202.14 during Friday’s premarket session, slipping as reports emerged that Meta Platforms intends to commence production of its proprietary AI processor as soon as September.
The processor, internally referred to as “Iris,” represents one component of a multi-phase initiative under Meta’s Training and Inference Accelerator (MTIA) framework. Development involves collaboration with Broadcom, while Taiwan Semiconductor Manufacturing Co (TSMC) will handle fabrication.
According to internal documentation examined by Reuters, debugging procedures required merely six weeks and uncovered no critical flaws — a remarkably swift turnaround for an initiative that has encountered challenges since its inception over five years ago.
Meta intends to launch successive chip generations approximately every six months extending through 2027, representing a considerably accelerated pace compared to the typical annual industry cycle.
The underlying objective is clear: decrease computational expenses and minimize dependence on third-party semiconductor providers such as Nvidia and AMD.
However, “Iris” isn’t intended as a complete GPU replacement. The processor aims to supplement the substantial GPU volumes Meta currently procures. Meta’s internal communications acknowledged that implementing cutting-edge GPUs at its operational scale “has been a heavy lift, and it has cost us time.”
Expert Analysis
Benchmark Research analyst Cody Acree challenged the notion that this development signals significant risk for Nvidia. He observed that while Nvidia might experience declining relative market share within Meta’s expanding infrastructure plans, aggregate spending from hyperscale cloud providers is anticipated to more than double, potentially enabling Nvidia’s absolute revenue from these clients to continue rising.
Meta anticipates allocating up to $145 billion toward AI infrastructure investments this year alone, contributing to an industry-wide Big Tech commitment projected to surpass $700 billion.
Broader Implications for Nvidia
The Meta announcement forms part of a wider competitive landscape. Google and Amazon are each preparing to market their proprietary AI processors — Google’s Tensor Processing Units and Amazon’s Trainium chips — to third-party customers.
Both alternatives demonstrate capability in executing contemporary AI models and may deliver superior cost-performance ratios for specific applications, intensifying competitive pressure on Nvidia’s market leadership.
Nvidia’s shares have underperformed the semiconductor sector recently, with AMD gaining 5.67% and Meta advancing 4.70% on the trading day, while Nvidia posted losses.
Nasdaq 100 futures declined 0.2%, indicating Nvidia’s movement aligned broadly with market trends, though company-specific developments contributed additional downward pressure.
Meta plans to implement seven gigawatts of computing infrastructure throughout 2026 and double that capacity in 2027, having already secured long-term supply contracts with Samsung, Sandisk, and Sumitomo Electric to facilitate that expansion.
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