Google Hands AMD Major Win in AI Chip Race Moz Farooque ACCA Mon, November 9, 2026 at 11:59 AM EST 2 min read AMD +11.26% GOOG +1.76% NVDA -4.96% Explore stocks on Coinbase Trading disclosure Trading disclosure The above button links to Coinbase. Yahoo Finance is not a broker-dealer or investment adviser and does not offer securities or cryptocurrencies for sale or facilitate trading. Coinbase pays us for certain activity generated through this link. Prices displayed are informational.
Advanced Micro Devices (NASDAQ:AMD) shares surged nearly 4% in Monday's premarket trading after the semiconductor giant announced an expanded partnership with Alphabet's (GOOG, GOOGL) Google Cloud, strengthening its position in the rapidly growing AI infrastructure market. The deal highlights an important opportunity for AMD beyond competing directly with Nvidia (NVDA) in graphics processors: supplying the CPUs that power increasingly sophisticated AI systems.
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Under the agreement, AMD's fifth-generation EPYC server processors will support Google's new TPU 8tx, its first cloud tensor processing unit system featuring hardware-based confidential computing.
The technology is designed to protect sensitive information, including proprietary AI models and customer data, while workloads are being processed.
AMD's processors will handle data preparation and supporting computing tasks alongside Google's custom AI accelerators.
The combination targets AI inference, model fine-tuning and agentic AI applications, where multiple artificial intelligence systems can perform increasingly complex tasks.
The announcement builds on AMD's longstanding relationship with Google Cloud, particularly in enterprise computing and security infrastructure.
Importantly, it also underscores a broader competitive advantage for AMD.
The company said its EPYC processors are already deployed by more than 10 leading hyperscalers and AI laboratories, supporting infrastructure built around Nvidia GPUs, AMD Instinct accelerators and custom-designed AI chips.
That flexibility matters as technology giants increasingly develop their own processors to reduce dependence on external suppliers.
Rather than relying entirely on its own AI accelerators, AMD can benefit from infrastructure spending across multiple competing hardware ecosystems.
AMD shares traded around $464.66 in premarket trading following the announcement.
The key question is whether AMD can translate its expanding hyperscaler relationships into sustained data-center revenue growth.
Investors should monitor EPYC processor adoption, server CPU market share and demand from customers deploying custom AI accelerators.
Google's TPU 8tx rollout could provide another avenue for AMD to capture spending on AI infrastructure without directly displacing Nvidia's GPUs.
However, the companies did not disclose the agreement's financial value or expected shipment volumes.
That makes future data-center results particularly important.
Stronger EPYC adoption across hyperscalers would support AMD's growth outlook, while deployment delays or slowing infrastructure investment could limit the partnership's financial contribution.
