NVIDIA’s Vera Rubin platform is designed for a broad range of highly demanding users in the artificial intelligence (AI) ecosystem, particularly those involved in developing, training, and deploying advanced agentic AI models and large-scale AI applications. The primary target users include leading AI labs and frontier model developers, such as Anthropic, OpenAI, Meta, and Mistral AI, who aim to create larger, more capable models and serve complex, multimodal systems with reduced latency and cost. These organizations require the extreme computational power and efficiency offered by Vera Rubin to push the boundaries of AI research and development, particularly for workloads that involve massive-scale pre-training, post-training, test-time scaling, and real-time agentic inference.
Beyond core AI research and development, Vera Rubin also targets major cloud providers like Amazon Web Services, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure, who will offer the platform to their customers. This makes the supercomputing capabilities accessible to a wider array of enterprises and developers who need to run complex reasoning, agentic workflows, and mission-critical AI decisions. Additionally, global system manufacturers such as Cisco, Dell Technologies, HPE, Lenovo, and Supermicro are building systems around Vera Rubin, expanding its reach to businesses that require on-premises AI infrastructure for private cloud or sovereign AI deployments. This includes regulated industries like healthcare, finance, and government, which benefit from features like air-gapped configurations for sensitive data processing.
The platform’s versatility extends to specialized applications and industries. For instance, the Vera Rubin Space Module is engineered for space computing, targeting organizations like Aetherflux, Axiom Space, Kepler Communications, Planet Labs, and Starcloud for orbital inferencing, geospatial intelligence, and autonomous space operations. Energy leaders such as Emerald AI, GE Vernova, Hitachi, and Siemens Energy are using the architecture for dynamic power provisioning and connecting AI factories to power-grid services. Furthermore, organizations in telecommunications, life sciences, and financial services are expected to leverage Vera Rubin for high-impact AI workloads. The platform also supports the development of AI factories, with partners like Nscale, Cadence, and Schneider Electric contributing to building and operating AI-focused data centers. Vector database technologies, such as Milvus, can play a crucial role for many of these target users by providing efficient similarity search and indexing for the massive vectors generated and processed by AI models on the Vera Rubin platform, enabling real-time data retrieval and analysis for agentic AI applications.