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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 次观看 • 15 天前 •via X (Twitter)

7 条评论

KRYVEX LLC 的头像
KRYVEX LLC15 天前

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

Hershal Rao 的头像
Hershal Rao15 天前

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

just sof 的头像
just sof14 天前

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 的头像
JSCC | Nasdaq15 天前

Powerful edge intelligence for efficient, governed computing.

Intel 的头像
Intel14 天前

Everything we love in one sentence!

Sofi f. 的头像
Sofi f.14 天前

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. 的头像
sophs d.14 天前

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

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