数字主权：平衡控制、依赖与创新

Balancing Control,Dependencies, and Innovation Executive Conversations CALISTAREDMOND VP Global AI Initiatives,Nvidia BUILDING NATIONALAI CAPABILITY:INVEST LOCALLY,ENGAGE GLOBALLY Calista Redmond is the Vice President of GlobalAI Initiatives at NVIDIA, where she leads strategiccollaborations with regions, ecosystem partners,and product groups to advance national AIprograms worldwide. Before joining NVIDIA,Calista served as CEO of RISC V International,driving global adoption of the open RISC Vinstruction set architecture across industry,academia, and government. Previously, she spent more than a decade at IBM in leadership rolesincluding VP of the IBM Z Ecosystem as well asopen source initiatives such as the Open MainframeProject, OpenPOWER, and OpenDaylight. Earlierin her career, Calista was an entrepreneur in foursuccessful technology start ups. She holds degreesfrom the University of Michigan and NorthwesternUniversity and is based in Washington, D.C. The conversation around national AI hasintensified recently. What is driving thaturgency? Calista Redmond:Generative AI hasreally changed the strategic value here.National and enterprise data becomes theraw material for productivity and the rawmaterial for competitiveness for industry.The urgency comes from dependencyrisk. If a country is challenged in accessing,tuning, auditing, or operating AI thatsubscribes to their local regulations, and isinstead inheriting someone else's languagecoverage, policy assumptions, and servicelevels, then both generative AI andinference AI become affected. Calista RedmondVP Global AI Initiatives |Nvidia As we move from proof of concepts andexperimentation into bringing AI intocritical workflows, this raises the bar.Now, it includes where the data lives, theprovenance of the model, cybersecurity,audit, and other operating controls. It reallyweaves together a full strategic view ofthat value. At its core, it comes down tocultivating a local ecosystem and ensuringcompute access. How does NVIDIA think about its role in this landscape? Calista Redmond:Every nation needs to build their own national AI capability.This means countries should be able to produce intelligence using theirown data, their own infrastructure, their own workforce, and their businessnetworks. They are no longer just consumers of intelligence producedsomewhere else. They should be able to harness the power of AI to produceintelligence that is meaningful for moving their countries forward. NVIDIA is there to supportgovernments and theirnational champions: localmodel builders, startups, andexisting industry champions.It really takes all parts ofthe stack, from differentlevels of infrastructure andenergy through to LLMs and Every nation needs tobuild their own nationalAI capability" applications that serve the purpose they are trying to accomplish. A commonfirst steppingstone is developing a local model that brings local data andlocal expertise, reflects that geography and domain, and sits on top of global-grade infrastructure. That is where we team together and take a collaborativeapproach. If you were advising a government on building national AI capability fromthe ground up, what are the foundational building blocks? Calista Redmond:I think about it across six areas. First, data. Make sure they have trusted, permissioned, very high qualitynational and sector datasets, including the IP rights and data sharing rules.High quality input matters. Second, compute and infrastructure. The ability to combine acceleratedcompute, networking, and storage, with clear energy resources, security, andthe orchestration that nations require for training, fine-tuning, and simulatingworkloads. Third, models. I would expand that beyond a single local model to a portfolioof open, commercial, and locally trained and fine-tuned models. This enablesmodel choice across workloads and makes token utilization more efficient. Fourth, software. This means the right tools to customize, evaluate, guardrail,deploy, and manage everything around those models. This is the orchestrationpiece. Fifth, applications and agents. Applications can be citizen services, frauddetection, public health, customs, and tax copilots. Many of these ingovernment are about efficiency. Agents go further and can boost thecapacity of a nation, through digital twins, logistics, weather, and agriculture.These are things governments support not just for operational efficiency butfor strengthening a nation. Sixth, people and ecosystems. Across the countries I interact with, a commontheme I come across is about workforce development and cultivating talent.That talent comes from AI literacy, so that every discipline embraces AI as partof their craft, and from AI engineers and developers building capabilities intostartups and filling out the ecosystem. Part of what governments do here istransform university and research output into commercialization. If you look across all six, the framing is: “invest