AMD Launches Ryzen PRO 8000 Desktop APUs, Bringing Graphics & AI Leadership To Businesses
AMD today announces the launch of its Ryzen PRO 8000 "Hawk Point" Desktop APUs for the business segment, bringing CPU, GPU, & AI leadership to commercial PCs with a strong set of "PRO" technologies.
AMD Sees Growth In Its Commercial Business & Expands The Desktop PC Portfolio Further With Next-Gen Ryzen PRO 8000 APUs
With the rise of AI, the business segment has seen new workloads that require a new generation of chips. These workloads and AI-powered experiences include running Generative AI locally on PCs, enabling a wide spectrum of personalization, productivity, and privacy features.
Related Story AMD Slams Intel’s Core Ultra vPRO CPUs With Ryzen PRO 8040 APUs: Faster At Everything At Same Power
Today marks the expansion of the Zen 4 "PRO" family for the commercial desktop and mobile segment in the form of Ryzen PRO 8000 (Desktop) and Ryzen PRO 8040 (Laptop) APUs. The latest family includes Zen 4 CPU cores, RDNA 3 GPU cores, and XDNA NPUs, all packed within a singular package. Features of the family include:
- AMD Ryzen AI - Extending Leadership With First AI-Powered Desktops
- Zen 4 - World's Fastest & Most Advanced x86 Processor
- 4nm - Revolutionary Power Efficiency Upgrades
- AMD Pro Technologies - Cutting Edge Security, Simplified Manageability
- Wi-Fi 7 / BT 5.4 - Enabling Seamless Connectivity
The AMD Ryzen PRO 8000 Desktop APUs consist of 8 APUs. These APUs are essentially the same as the existing Ryzen 8000G & Ryzen 8000GE chips. The Ryzen 7 SKUs feature 8 cores & 16 threads, the Ryzen 5 SKUs feature 6 cores & 12 threads while the Ryzen 5 SKUs feature 4 cores & 8 threads. The Ryzen PRO 8000G SKUs operate at TDPs between 45-65W (45W cTDP) while the 8000GE SKUs operate at 35W cTDPs. The chips also pack AMD's RDNA 3 iGPUs with up to 12 compute units, the Radeon 780M/760M/740M.
But like the original Ryzen 8000G/8000GE SKUs, certain AMD Ryzen PRO 8000 APUs don't feature AI NPUs (8500G/GE & 8300G/GE). These APUs will still be able to run AI workloads on their CPU &
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