AMD Delays 7040HS 'Phoenix' Laptop CPUs to April

AMD's Ryzen 7040HS laptop processors, also known as the "Phoenix" series, are being delayed a month. The processors were announced for a March release at CES 2023, but AMD now tells us they won't launch until sometime in April. These notebook processor chips are perhaps best known as being the first to include AMD's RDNA 3 graphics architecture and the company's new leading-edge XDNA-powered AI engine.

"To align with platform readiness and ensure the best possible user experience, we now expect our OEM partners to launch the first notebooks powered by Ryzen 7040HS Series processors in April," an AMD representative told Tom's Hardware in a statement.

It isn't clear what's causing the delay, and AMD hasn't yet responded to more detailed questions. However, AMD has recently adjusted the specs for these chips, removing support for the PCIe 5.0 interface and reducing the peak clocks for the integrated GPU.

The 7040HS "Phoenix" chips slot in as the company's most powerful processors for ultra-thin laptops — notebooks that don't quite have the massive cooling to handle the more powerful "Dragon Range" 7045HX chips. The chips use the Zen 4 CPU architecture on a 4-nanometer process with TDPs between 35 and 45 watts. The HS-series processors are debuting AMD's RDNA 3 graphics on mobile and are the first to use AMD's new XDNA AI architecture.

AMD's flagship model, the Ryzen 9 7940HS, is an eight-core/16-thread processor with a boost clock up to 5.2 GHz, while the Ryzen 7 7840HS hits a 5.1 GHz boost. The lowest-end chip, the Ryzen 5 7640HS has six cores, 12 threads, and goes up to 5.0 GHz. 

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Ryzen 7040 HS-series Processors
ModelCores/ThreadsBoost/Base Frequency (GHz)Cache (MB) TDP (W)
AMD Ryzen 9 7940HS 8/16 Up to 5.2 / 4.040 35 - 45
AMD Ryzen 7 7840HS 8/16 Up to 5.1 / 3.84035 - 45
AMD Ryzen 5 7640HS 6/12 Up to 5.0 / 4.33835 - 45
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Andrew E. Freedman

Andrew E. Freedman is a senior editor at Tom's Hardware focusing on laptops, desktops and gaming. He also keeps up with the latest news. A lover of all things gaming and tech, his previous work has shown up in Tom's Guide, Laptop Mag, Kotaku, PCMag and Complex, among others. Follow him on Threads @FreedmanAE and BlueSky @andrewfreedman.net. You can send him tips on Signal: andrewfreedman.01

  • digitalgriffin
    ChatGPT mut be eating all their AI portion of their chipsets. Lol
    Reply
  • The Historical Fidelity
    digitalgriffin said:
    ChatGPT mut be eating all their AI portion of their chipsets. Lol
    That or I’ve heard AI camel racing is very popular in parts of the world!

    If you haven’t seen this it’s hilarious yet cruel. They put whipping robot jockeys on the back of camels and use AI to determine the optimal times and intervals to whip the camels during the race lol.
    Reply
  • Artificial intelligence jokes, aside, current technology, regarding AI can be leveraged quite successfully. Take the following, for example

    p3zHoCEEvdYView: https://youtu.be/p3zHoCEEvdY
    Reply
  • bit_user
    The company had written in a press release that XDNA would be "the first dedicated artificial intelligence hardware in an x86 processor."
    Somewhat misleading, since Intel has included GNA for a couple generations, already. I assume they're using a technicality that GNA (Gaussian Neural Accerelator) is programmable and thus not strictly "hardware".

    digitalgriffin said:
    ChatGPT mut be eating all their AI portion of their chipsets. Lol
    I know you're joking, but in case anyone doesn't know: inferencing large language models like ChatGPT require big, multi-GPU server machines (e.g. Nvidia DGX). I know @AndrewFreedman explicitly mentions ChatGPT and DALL-E, but I believe he's taking a wild leap, as these models won't even fit in the amount of RAM supported by modern laptop CPUs.

    The XDNA hardware in these laptop processors is aimed at lighter-weight tasks like speech recognition, background removal, and noise reduction (e.g. for video conferencing). Hence, their emphasis on the realtime aspect. While you could do those things with a GPU or even a fast CPU, their hardware block will do them much more efficiently. Efficiency is obviously important in a laptop, so that battery life isn't substantially affected. According to their literature, the accelerator supports up to 4 of these realtime tasks.
    Reply