AMD unveils AI accelerators and laptop chips at CES 2026

2026-01-06 · Source: The Decoder · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Intermediate, short

Summary

AMD unveiled its complete Instinct MI400 portfolio for data centers at CES 2026, including the flagship MI455X for the "Helios" rack-scale platform and the MI440X for on-premise enterprise deployments. OpenAI will receive the first MI400 chips this year, a deal expected to generate billions in annual revenue for AMD. Looking to 2027, AMD previewed the MI500 series, based on a 2nm process and CDNA 6 architecture, projected to deliver up to 1,000 times the AI performance of the 2023 MI300X. For laptops, AMD introduced the Ryzen AI 400 series ("Gorgon Point") for Q1 2026, featuring Zen 5 and Zen 5c cores with higher clock speeds. Additionally, new Ryzen AI Max+ variants (392 and 388) were announced for gaming handhelds, potentially reducing device prices to the $1,000-$1,500 range.

Key takeaway

For CTOs and VPs of Engineering evaluating future AI infrastructure, AMD's MI400 series, with its OpenAI partnership and upcoming MI500 series promising 1,000x performance, presents a compelling alternative to Nvidia. You should assess the MI440X for on-premise enterprise AI deployments and consider its integration into your compute strategy, especially given its compact form factor and support for existing infrastructure.

Key insights

AMD's new AI accelerators and laptop chips aim to significantly boost AI performance and expand market reach.

Principles

• Chip advances are critical for massive computing needs.
• Next-gen processes (2nm) drive exponential performance gains.

In practice

• MI440X supports on-premise training and inference.
• Ryzen AI Max+ chips target affordable gaming handhelds.

Topics

• AI Accelerators
• Data Center AI
• Ryzen AI Processors
• Edge AI
• Gaming Handhelds

Best for: Investor, CTO, VP of Engineering/Data, AI Engineer, AI Architect, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Decoder.