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What’s the difference between evaluating an AI model and evaluating an AI agent? 

While model and agent evaluation are inextricably linked, their technical benchmarks and metrics for success are fundamentally different.

Mastering Agentic Techniques: AI Agent Evaluation | NVIDIA Technical Blog
How does DGX Spark Enterprise Manageability help with diagnostics?

DGX Spark manageability framework provides diagnostic tools specifically designed for observability, diagnostics, and incident response. AI infrastructure failures are often expensive to diagnose remotely. Events such as firmware regressions, PCIe issues, and unexpected resets all require evidence collection before a root cause can be determined—and collecting that evidence at scale, without disrupting the running system, is nontrivial. The manageability framework provides two diagnostic tools designed to address these challenges: spark_diagctl.py and reset_reason_reporter.py. spark_diagctl.py

Delivering Lifecycle Control for AI Infrastructure at Scale with NVIDIA DGX Spark Enterprise Manageability | NVIDIA Technical Blog