This SiliconANGLE article by Paul Gillin reports on a new set of HPE and NVIDIA offerings, unveiled at NVIDIA's GTC conference in Washington, D.C., aimed at simplifying how government agencies, regulated industries, and large enterprises deploy and scale AI. The portfolio targets three persistent obstacles: data fragmentation, infrastructure sprawl, and compliance. Its centerpiece is the second generation of HPE Private Cloud AI, a smaller, turnkey version built for fast, secure deployment that lets organizations focus on business outcomes rather than infrastructure, according to HPE's Robin Braun. The updated system pairs HPE ProLiant DL380a Gen12 servers with NVIDIA's RTX PRO 6000 Blackwell Server Edition GPUs — delivering roughly three times better price-performance than the prior generation on MLPerf — and adds an air-gapped management option for organizations with strict data-isolation requirements. Crucially for Kamiwaza, the article names Vail, Colorado as one of the first practical deployments: the city is piloting HPE's Agentic Smart City framework, which leverages AI orchestration software from Kamiwaza Corp., image recognition from ProHawk, and geospatial analysis from BlackShark.ai. Braun notes Vail's roughly 4,800 residents but 2.8 million annual visitors make it an ideal pilot to scale to other cities. HPE also introduced enhancements to its unified data layer, combining structured, semi-structured, and unstructured data under a single federated namespace with agentic AI governance. For public-sector and enterprise leaders, the piece maps the infrastructure behind production agentic AI, with Kamiwaza as the orchestration layer. Read the full article on SiliconANGLE.
Source: SiliconANGLE — Read the full article
