3 hours ago
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AI AND ML
SPONSORED POST: Sovereign AI is becoming a strategic infrastructure priority, explain HPE's Thierry Pienaar and NVIDIA's Kaushik Shirhatti
Enterprises must "feed" their AI ventures with reliable, well-curated data if they want worthwhile returns. But new mandates governing AI deployments also require them to act as careful custodians of their data, along with the infrastructure, supply chain, software and other aspects of their IT landscape.
Sovereign AI gives an enterprise, or even a nation state, complete control over how its AI systems are built, deployed, operated, and governed. It emphasizes control over data, infrastructure, models, operations, and policies, often within specific legal, regulatory, or geographic boundaries.
Sovereign AI matters for organizations and governments that need AI environments aligned with their own security, compliance, privacy, and governance requirements.
For some, that means keeping sensitive data in-country. For others, it means controlling who can access systems, where workloads run, how models are governed, and which local laws apply.
The HPE Sovereign AI Factory lets customers in highly-regulated industries keep sensitive data, models, and operations under strict local control, using customized, validated infrastructure integrated with HPE services from deployment to operational support that helps customers with security, compliance, and control across infrastructure, data, and AI models. In this Hot Seat, James Hayes hears from Thierry Pienaar, HPE fellow, Chief Technology Officer for HPC & AI worldwide at HPE, and Kaushik Shirhatti, VP, AI factory at NVIDIA, on how HPE and NVIDIA work together to help customers meet the latest sovereign AI mandates.
Pienaar and Shirhatti sit on the frontline of this shift in AI development. In the video they cut through market hype and misunderstandings to identify the key considerations for any organization's sovereign AI program.
You will learn:
Why a sovereign AI strategy has become a priority so quickly, as governments and highly-regulated sectors seek greater control over their AI systems, data, and innovation plans.
The key drivers for sovereign AI, and how it differs from at-scale standard AI workloads.
How sovereign AI introduces new rigors of security, such as air-gapping and identity federation.
How agentic AI plays into sovereign AI requirements, and how agents can be protected while retaining the freedom to deliver useful results.
How HPE and NVIDIA partner to deliver sovereign AI factories that let customers build and run AI models while retaining complete control over sensitive data, infrastructure, and compliance boundaries within their defined borders.
Learn more about how the HPE AI factory with NVIDIA addresses the main challenges organizations face when they run AI at-scale here.
Sponsored by HPE.
English (US) ·