What you need to know
- AMD expands its AI processor range with three Ryzen AI PRO variants for the enterprise market.
- Featuring an NPU running at up to 55 TOPS and Radeon 800M integrated graphics, all SKUs support local Copilot AI tasks.
- Ryzen AI PRO 300 chips are mostly compared against Intel Core Ultra 7 vPro devices, boasting a productivity performance lead.
As someone who has spent countless hours tinkering with various processors over the years, I can confidently say that AMD’s latest foray into the enterprise market with its Ryzen AI PRO 300 Series is nothing short of impressive. With a TOPS count that outshines its competitors and integrated graphics that have always been a strength of AMD, this new lineup seems poised to make waves in the enterprise sector.
AMD is stepping up its processor game in the business sector yet again by introducing the Ryzen AI PRO 300 Series. This lineup emphasizes improved security and data privacy, but what sets it apart is a renewed emphasis on hardware-based artificial intelligence computing, a feature that was also seen in its commercial Ryzen AI 300 processors which are compatible with Copilot+.
AMD hasn’t taken its first step into AI technology for PCs; they’ve previously introduced the Ryzen PRO 7000 Series and PRO 8000 Series, each equipped with Neural Processing Units (NPUs). Over time, their Total Operations per Second (TOPS) capability has increased significantly, rising from an initial score of 10 TOPS to a range of 50-55 TOPS now.
The Ryzen PRO platform primarily caters to enterprise needs, as demonstrated by laptops such as HP’s EliteBook X. However, AMD continues its mission to deliver exceptional performance and the promised all-day battery life akin to devices powered by Ryzen AI 300 series chips, like the ASUS Zenbook S 16 mentioned in my review.
With Ryzen PRO, developers working on AI models using the standard x86-64 platform get additional security layers and streamlined development environments. AMD refers to this as the ideal processor for the next generation of AI-focused enterprise computers, claiming it as “the world’s best processor for future AI enterprise PCs.
What’s new in Ryzen PRO for enterprise?
The Ryzen AI PRO 300 enjoys similar advancements as its standard versions, as they both incorporate the new Zen 5 CPUs and the latest iterations of AMD’s System on Chip (SoC) components. This update grants users access to the XDNA 2 NPU, which currently offers the highest TOPS count available in the market, increasing from 50 to 55 TOPS. The enhanced capabilities of this Neural Processing Unit make it suitable for running AI computing tasks similar to those utilized by Microsoft Copilot, such as Windows Recall.
The latest RDNA 3.5 graphics integrated into AMD’s Radeon 800M Series boasts an upgrade, offering superior AI-driven graphical improvements while maintaining higher power efficiency compared to its predecessor, the Radeon 700M solution. Yet, it’s important to note that not every task depends solely on the NPU (Neural Processing Unit). AMD trusts that the synergy between the Ryzen PRO 300 CPU, GPU, and NPU in each SKU will optimally manage AI tasks efficiently.
Despite Intel potentially having an edge in some areas, AMD clearly excels in NPU performance, allowing it to introduce the first Copilot+ PCs tailored for enterprises. This is due to Copilot meeting and surpassing its 40 TOPS requirement. Local AI computing hardware provides access to real-time features like Live captions during video calls, as well as more specialized control over image creation with Cocreator, making it beneficial in professional settings.
As an analyst, I’ve noticed that Intel’s latest Core Ultra 200V mobile processors (Lunar Lake) stand out from competitors like Qualcomm’s Snapdragon X Elite with a more powerful NPU, boasting a capacity of 48 TOPS compared to the latter’s 45 TOPS max. However, as AI computing evolves and developers fine-tune models for better efficiency, the focus on chasing ever-increasing TOPS counts might not remain critical. Yet, if AMD can maintain CPU and GPU performance without compromising with XDNA 2 tile, it could be advantageous.
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2024-10-10 21:11