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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 Aufrufe • vor 15 Tagen •via X (Twitter)

7 Kommentare

Profilbild von KRYVEX LLC
KRYVEX LLCvor 15 Tagen

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

Profilbild von Hershal Rao
Hershal Raovor 15 Tagen

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

Profilbild von just sof
just sofvor 15 Tagen

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?

Profilbild von JSCC | Nasdaq
JSCC | Nasdaqvor 15 Tagen

Powerful edge intelligence for efficient, governed computing.

Profilbild von Intel
Intelvor 15 Tagen

Everything we love in one sentence!

Profilbild von Sofi f.
Sofi f.vor 14 Tagen

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?

Profilbild von sophs d.
sophs d.vor 14 Tagen

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

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