Announcement

Collapse
No announcement yet.

Intel's Habana Labs Driver Quietly Drops References To The Greco AI Processor

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • Intel's Habana Labs Driver Quietly Drops References To The Greco AI Processor

    Phoronix: Intel's Habana Labs Driver Quietly Drops References To The Greco AI Processor

    Announced last year at the Intel Vision conference was the Habana Labs Gaudi2 and Greco AI hardware. Since then we've seen a lot of Linux kernel driver work happen for enabling the Gaudi2 second-generation training and inference AI processor while there hasn't been anything real in the way for Greco, which was the successor to the Goya AI processor. Now references to Habana Labs Greco are being removed from the driver...

    Phoronix, Linux Hardware Reviews, Linux hardware benchmarks, Linux server benchmarks, Linux benchmarking, Desktop Linux, Linux performance, Open Source graphics, Linux How To, Ubuntu benchmarks, Ubuntu hardware, Phoronix Test Suite

  • #2
    Is Xeon phagocytizing AI stuff? Or will be merged into their dGPUs? Why does Intel buy so much stuff to cancel or abandoni it later?

    Comment


    • #3
      Originally posted by timofonic View Post
      Is Xeon phagocytizing AI stuff? Or will be merged into their dGPUs? Why does Intel buy so much stuff to cancel or abandoni it later?
      Everything, including Gaudi, is supposedly being merged into Falcon Shores in 2025.

      I think Intel concluded AI researchers/runners don't want a low power inference architecture and a little training architecture and a big training architecture. They don't want a shared memory server APU or Xeon CPU with an AI ASIC... They want Nvidia GPUs. So Intel canceled pretty much everything and are piling all the IP into a Nvidia GPU-like architecture with Falcon Shores.


      AMD seemingly reached a similar conclusion. They took their neat, HPC oriented MI300 APU, stripped the CPU out of it, and replaced it with even more GPU for an AI SKU. Maybe the shared memory MI300 is theoretically a more efficient training platform than the GPU-only MI300 with an Epyc host CPU, but that doesn't matter if no one is going to target it.

      ​​​​​​
      ​​
      Last edited by brucethemoose; 26 September 2023, 12:35 PM.

      Comment

      Working...
      X