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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 просмотров • 15 дней назад •via X (Twitter)

Комментарии: 7

Фото профиля KRYVEX LLC
KRYVEX LLC15 дней назад

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

Фото профиля Hershal Rao
Hershal Rao15 дней назад

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

Фото профиля just sof
just sof14 дней назад

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?

Фото профиля JSCC | Nasdaq
JSCC | Nasdaq15 дней назад

Powerful edge intelligence for efficient, governed computing.

Фото профиля Intel
Intel14 дней назад

Everything we love in one sentence!

Фото профиля Sofi f.
Sofi f.14 дней назад

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?

Фото профиля sophs d.
sophs d.14 дней назад

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

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