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AMD Ryzen AI 400 Series Explained: What You Need to Know

AMD is reheating its Ryzen AI and X3D CPUs for 2026, but the updates are more about refinement than revolution. The new Ryzen AI 400-series chips for laptops and desktops offer modest improvements over their predecessors, making it crucial for consumers to understand what’s truly new. These processors are designed to fill out AMD’s lineup, providing slightly enhanced performance for those seeking the latest in computing power. The primary keyword, ‘Ryzen AI 400 series explained’, is integrated into this introductory paragraph to immediately address user queries.

These newly announced Ryzen AI 400-series processors are essentially tweaked versions of the Ryzen AI 300 chips that debuted in June 2024. While they bear a new designation, the underlying architecture remains largely the same, focusing on incremental gains rather than a complete overhaul.

What is the main difference between Ryzen AI 300 and 400 series? The primary distinction lies in slightly higher CPU clock speeds, NPU speeds, and supported RAM speeds. For instance, the Ryzen AI 9 HX 470 boasts a peak boost clock of 5.2 GHz and supports LPDDR5x-8533 memory, an upgrade from the Ryzen AI 9 HX 370’s 5.1 GHz and LPDDR5x-8000.

AMD’s strategy here involves offering marginal enhancements to existing silicon. This approach allows them to present a refreshed product line without the substantial development costs associated with entirely new architectures. The goal is to capture a segment of the market looking for the newest available technology, even if the advancements are incremental.

For users considering a purchase, understanding the specifics of these updates is key. The Ryzen AI 400 chips utilize the same Zen 5 CPU cores, including a mix of high-performance and efficient Zen 5c cores. This core configuration is identical to the Ryzen AI 300 series, highlighting the evolutionary rather than revolutionary nature of this release.

Graphics performance is also maintained with integrated GPU cores based on the RDNA 3 architecture. The number of these cores ranges from 4 to 16, mirroring the specifications found in the previous generation. This ensures that graphical capabilities remain consistent across these iterations.

The manufacturing process for the Ryzen AI 400 series remains at 4 nm, utilizing TSMC’s fabrication technology. This continuity in manufacturing further underscores the iterative nature of these CPU updates.

AMD has employed similar tactics in the past. A couple of generations ago, the company released the Ryzen 8040-series laptop chips, which were essentially upgraded versions of the older Ryzen 7040 series, featuring only minor clock speed increases.

This historical precedent suggests that the current Ryzen AI 400 series follows a familiar pattern of product refreshes. Consumers should weigh the potential cost savings of purchasing a slightly older Ryzen AI 300 system against the marginal benefits offered by the new 400 series.

In terms of NPU capabilities, the Ryzen AI 400 series sees an increase in TOPS (trillions of operations per second). The new chips can handle 60 TOPS, an improvement over the 50 TOPS offered by the Ryzen AI 300 series, which is relevant for AI-accelerated tasks.

For business users, AMD also offers corresponding Ryzen Pro chips. These business-oriented processors follow a similar upgrade path, providing enhanced security and manageability features alongside the core performance improvements.

The decision to purchase a Ryzen AI 400 series system should be based on a clear understanding of these subtle upgrades. For many, the difference might not justify a premium price, especially if a good deal can be found on a Ryzen AI 300 system.

Ultimately, the Ryzen AI 400 series represents AMD’s effort to maintain momentum in the competitive CPU market by offering refined versions of proven technology. The ‘Ryzen AI 400 series explained’ in this context means acknowledging both the improvements and the continuity with the previous generation, helping consumers make informed choices about their next computing hardware.

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