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NVIDIA announces a 64GB configuration of its DGX Spark desktop AI system for running local AI agents and models Product launch
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TLDRocket
2 October 2026
The biggest throughline today wasn’t that AI agents can do more—it’s that enterprises are learning where they can’t, and how to put rails on the learning. ServiceNow’s Paul Fipps pointed to Standard Chartered automating employee request handling with 77% deflection and 75%–80% of cases described as “life-changing,” but the takeaway was operational, not magical: teams now have to redesign processes and add governance so agents don’t quietly drift into noncompliance. That same reality check shows up elsewhere in the controls stack—NetApp lets AI run storage operations inside explicit policy boundaries while humans keep the “RACI-style” accountability, and IBM with CoreWeave is building isolated execution and identity integration for agent workloads.
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