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Can your endpoints orchestrate agentic AI across classification boundaries? Intel Core Ultra and Intel vPro schedule tasks across sovereign clouds and tactical edge, keeping data governed while cutting cloud tokens by up to 70%. See how:

20,511 views • 15 days ago •via X (Twitter)

7 Comments

KRYVEX LLC's profile picture
KRYVEX LLC15 days ago

The combination of agentic AI, sovereign infrastructure, and edge computing is a major step toward scalable AI deployment. Great work, Intel

Hershal Rao's profile picture
Hershal Rao15 days ago

finally, my laptop can run local agents without setting the desk on fire

just sof's profile picture
just sof14 days ago

Scheduling across boundaries doesn't solve governance if the workload itself is opaque. What's the audit trail when an agent misclassifies data at the tactical edge?

JSCC | Nasdaq's profile picture
JSCC | Nasdaq15 days ago

Powerful edge intelligence for efficient, governed computing.

Intel's profile picture
Intel15 days ago

Everything we love in one sentence!

Sofi f.'s profile picture
Sofi f.14 days ago

The 70% token cut is doing a lot of work here. Scheduling across sovereign clouds and tactical edge is mostly a latency and trust problem, not a token problem. What's the actual failure mode when a boundary rejects a task mid-flight?

sophs d.'s profile picture
sophs d.14 days ago

70% fewer tokens is great until the edge node decides it's the boss of the sovereign cloud

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