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Dr Harjinder Sandhu on X: "@cristianoamon @clattner_llvm Heterogeneous compute solves where AI runs. The next question is who authorizes what it is allowed to do. As intelligence spreads across CPUs, GPUs, NPUs and edge devices, execution-time authority needs to be just as portable — and ideally hardware-rooted."

@drSandhuHap
Dr Harjinder Sandhu
@drSandhuHap
Heterogeneous compute solves where AI runs. The next question is who authorizes what it is allowed to do. As intelligence spreads across CPUs, GPUs, NPUs and edge devices, execution-time authority needs to be just as portable — and ideally hardware-rooted.
7:22 PM · Aug 31, 2026112Views
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  • @cristianoamon
    Cristiano R. Amon
    Qualcomm
    @cristianoamon
    14h
    Caught up with @clattner_llvm right after ModCon. Expanded hardware support, Mojo now open source, Modular Cloud live, and a new industry alliance. As he put it: heterogeneous compute now has a software platform.
    00:00
    2
  • @drSandhuHap
    Dr Harjinder Sandhu
    @drSandhuHap
    Heterogeneous compute solves where AI runs. The next question is who authorizes what it is allowed to do. As intelligence spreads across CPUs, GPUs, NPUs and edge devices, execution-time authority needs to be just as portable — and ideally hardware-rooted.
    7:22 PM · Aug 31, 2026112Views
    1
  • @drsdhaliwal
    Swarn Dhaliwal
    @drsdhaliwal
    13h
    I keep coming back to this question. If AI workloads are going to move across CPUs, GPUs, NPUs and edge devices, can authorization really stay only in software? Or does it eventually have to be enforced in hardware, right where the action actually happens?
    1