Protecting data sovereignty with secure AI infrastructure for governments, enterprises, and startups.
Telecom operators are perfectly positioned to expand their data centers with accelerated computing infrastructure to support sovereign AI models and manufacture intelligence. This new class of data centers, known as AI factories, enhances AI capabilities for local governments, enterprises, and startups. And it allows nations to utilize telecom operators to host their sovereign AI infrastructure for enhanced security, performance, and fine-tuning with local language and cultural standards. NVIDIA is accelerating the development and deployment of AI factories around the world, including France, India, Italy, Japan, Singapore, and Switzerland.
Leading telecom companies Indosat, Singtel, and Telconet are working with NVIDIA to become sovereign "AI factories" for governments, enterprises, and startups—enabling them to build and deploy generative AI applications on high-performance, secure infrastructure.
The NVIDIA Cloud Partner reference architecture provides a full-stack solution for cloud providers to build high-performance, scalable and secure data centers that can handle generative AI and large language models—reducing time and cost of AI deployments.
Provide secure infrastructure for regional AI model development and deployment.
Telecom operators can use their distributed regional data centers (RDCs) as accelerated computing infrastructure to build, fine-tune, and deploy sovereign AI models. Doing so allows AI models to be aligned with national security interests. Additionally, this reduces inference costs by deploying AI applications to in-region users and improves energy efficiency of generative AI by using existing compute infrastructure.
Offer new revenue-generating services at the network edge.
The telecoms industry is expanding beyond network connectivity to offer AI-powered applications at the edge. Telcos can leverage the expertise of NVIDIA’s ecosystem of independent software providers to deliver innovative 5G applications, including intelligent video analytics for autonomous shopping, smart traffic monitoring to reduce urban congestion, and immersive 5G extended reality (XR) experiences.
Singtel and NVIDIA launched a new initiative to provide robust AI infrastructure and cloud services in Singapore and across Asia. This collaboration supports the Singapore government's updated National AI Strategy 2.0 to drive innovation and create new value through AI.
Swisscom and NVIDIA will build full-stack generative AI supercomputers to establish a trusted AI factory for Swiss customers. Swisscom's secure, high-performance infrastructure enables government, enterprises, and startups to build, host, and deploy sovereign AI.
NVIDIA is working with Scaleway, a subsidiary of French telecommunications provider iliad Group, to expand access to sovereign accelerated computing in the EU, enabling companies to deploy AI applications and scale up faster.
NVIDIA and the Tata Group are collaborating to deliver AI computing infrastructure and platforms for developing AI solutions. The collaboration will bring advanced AI capabilities within reach of thousands of organizations, businesses, and AI researchers and hundreds of startups in India.
NVIDIA and Reliance Industries announced a collaboration to develop India’s own foundation large language model trained on the nation’s diverse languages and tailored for generative AI applications to serve the world’s most populous nation.
If telcos start converting network exchanges into compute locations—colocating GPUs and compute at the exchanges—that becomes a goldmine for telcos to enable latency-sensitive AI use cases, such as large language models… Telcos, with their ownership of server networks and fixed networks, can ensure secure transit of data from one source to the other destination. This plays a critical role in governments adopting AI applications at country scale.
— Manoj Prasanna Kumar, Head – Enterprise Platforms, Singapore Telecommunications Limited (Singtel)
Everyone talks about generative AI, but the gap between expectations and reality is tremendous. A customer must be sure what happens with its data, where it happens, and how it happens. Switzerland, with its many multinational organizations, needs trusted and unique sovereign building blocks for AI. That’s where we step in. We’re developing it together in a reliable and secure manner, with a distinct Swiss flavor, hand in hand with our collaborator partner, NVIDIA.
— Christoph Aeschlimann, CEO, Swisscom
At Jio, we’re committed to fueling India’s technology renaissance by democratizing access to cutting-edge technologies, and our collaboration with NVIDIA is a significant step in this direction. Together, we will develop a state-of-the-art AI cloud infrastructure that’s secure, sustainable, and deeply relevant across India, accelerating the nation’s journey toward becoming an AI powerhouse.
— Mukesh Ambani, Chairman and Managing Director, Reliance Industries
Our collaboration with NVIDIA will help our infrastructure achieve a significantly higher performance with the utilization of AI, including optimization of the RAN. We expect it can also help us reduce energy consumption and create a network of interconnected data centers that can be used to share resources and host a range of generative AI applications.
— Junichi Miyakawa, President and CEO, SoftBank Corp.
Learn about accelerated computing systems, a full-stack AI platform, and the NVIDIA Partner Network.
NVIDIA accelerated computing offers systems that address different AI factory providers' needs. NVIDIA DGX SuperPOD™ is a turnkey NVIDIA solution for enterprises that want to adopt AI quickly and develop internal use cases. NVIDIA HGX™ and NVIDIA GH200 Grace Hopper™ Superchip systems enable service providers, including telecom operators, to build large multi-tenant AI factory infrastructure with NVIDIA-certified OEMs, ODMs, and partners.
The NVIDIA AI platform powers end-to-end AI workflows, from the data science pipeline to the development and deployment of production generative AI. NVIDIA NeMo™ lets developers build custom large language models (LLMs) from scratch. NVIDIA AI Foundation models enable AI cloud services to quickly customize generative AI. NVIDIA LaunchPad offers hands-on labs to get AI practitioners and IT teams quickly started. And NVIDIA® NGC™ provides a catalog of GPU-accelerated models and SDKs to infuse AI into applications. NVIDIA AI Factory partners can use this AI platform to create additional services.
The NPN ecosystem is composed of NVIDIA experts who have the knowledge and skills that can help customers solve their most challenging problems and accelerate their business with NVIDIA solutions. The NPN is structured around partner types and competencies, making it possible to find the perfect NVIDIA partners to address current business needs and achieve success in today's ever-changing market.
The NVIDIA HGX™ AI supercomputing platform brings together the full power of NVIDIA GPUs, NVIDIA® NVLink™, NVIDIA networking, and fully optimized AI and high-performance computing (HPC) software stacks to provide the highest application performance and drive the fastest time to insights. HGX enables telecom operators to build secure, high-performance AI factory infrastructure.
NVIDIA AI Enterprise is an end-to-end, cloud-native software platform that accelerates data science pipelines and streamlines development and deployment of generative AI applications. This includes NeMo for building, customizing, and deploying generative AI models anywhere. NeMo consists of training and inferencing frameworks, guardrailing toolkits, data curation tools, and pretrained models—offering enterprises an easy, cost-effective, and fast way to adopt generative AI.
As the most advanced platform for generative AI, NVIDIA AI meets enterprise application needs at every layer of the stack-including accelerated computing, essential AI software, pretrained models and AI foundries. With NVIDIA AI, enterprises can build, customize, and deploy generative AI models for any application, anywhere.
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