Observed Signal · Feb 13, 2026 · Earnings Report · Source: CNBC Technology · Impact: 4/5 · Sentiment: Neutral
AMD Rises as Arista Shifts Away from Nvidia
Arista Networks CEO Jayshree Ullal told investors on the company’s earnings call that Arista is seeing deployment shifts toward AMD accelerators, estimating roughly 20%–25% of recent deployments now prefer AMD versus nearly all Nvidia a year earlier. The comments coincided with modest stock moves—Nvidia fell about 3% while AMD rose close to 1%—and highlight competitive pressure in AI infrastructure. Nvidia still controls roughly 90% of the AI chip market, but AMD and other players (and Google’s TPUs) are emerging as challengers. The article notes Nvidia’s move into networking with its Spectrum‑X Ethernet platform has reduced some customers’ reliance on Arista, while Arista has a partnership with AMD to build customized AI clusters.
Earnings‑call remarks signal a measurable shift in AI infrastructure preferences (AMD gaining share) and underscore competitive dynamics between GPU vendors and networking suppliers—important for AI compute supply chains, procurement and vendor strategy.
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Key Takeaways & Evidence Grounding
- Arista CEO Jayshree Ullal said about 20%–25% of Arista deployments now prefer AMD accelerators.
- Nvidia's stock fell almost 3% and AMD gained close to 1% on the comments.
- Nvidia currently holds roughly 90% of the AI chip market, per the article.
- Nvidia launched the Spectrum‑X Ethernet platform in 2023, which reduced some customers' need for Arista networking.
- AMD announced a partnership with Arista to build customized AI clusters for training and inference.
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Related Market Signals & Shifts
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Wall Street Shifts AI Chip Favor to Intel, AMD, Micron
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AMD Emerges as AI Chip Challenger, Tied to TSMC
BusinessEngineer.ai’s analysis argues that AMD has established itself as a credible second source to NVIDIA for AI GPUs, securing multi-year customer commitments that lock in demand. However, AMD’s growth came with compressed gross margins during the quarter, suggesting scale without proportionate margin expansion. The piece highlights that both AMD and much of AI GPU supply remain tightly linked to TSMC, framing TSMC as a central chokepoint for AI infrastructure. The article maps how AMD’s quarterly results cascade through the AI stack and discusses strategic and financial implications for AI data-center supply and costs.
Arista’s AI Networking Surge and Six Valuation Debates
Arista Networks reported AI networking revenue of $1.5B in FY2025 with management guidance of $3.25B for FY2026, and the company recently delivered its first billion-dollar quarter. The stock trades at roughly 40x forward earnings. The article argues Arista’s valuation hinges on six debates: Ethernet vs. InfiniBand, white-box competition, customer concentration, gross margins, supply chains, and valuation. It describes structural growth in the Ethernet TAM driven by RoCE/lossless Ethernet fabrics, Nvidia’s Spectrum‑X, hyperscaler standardization (Ultra Ethernet Consortium), and multiple accelerator vendors and hyperscalers adopting Ethernet-native scale-up and scale-out approaches (examples: AMD Helios, Microsoft Maia 200, AWS Trainium3). Arista shipped 150 million Ethernet ports in FY25, grew revenue from $5.9B to $9.0B over two years, and guided $11.25B for 2026. Risks cited include reliance on outsourced silicon, two customers representing 42% of revenue, and rising memory costs.
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