Broadcom introduces VMware Tanzu Data Intelligence at VMware Explore 2025.
At VMware Explore 2025, Broadcom advanced its private AI and application modernization strategy with the introduction of VMware Tanzu Data Intelligence, a multimodal data lakehouse platform, alongside Tanzu Platform 10.3, the latest release of its enterprise-grade PaaS. Together, these innovations are designed to help organizations accelerate AI adoption, improve developer productivity, and integrate enterprise-ready AI into applications in a more secure and governed manner.
The Data Problem in Enterprise AI
AI promises to transform enterprise software through agentic workflows, personalized customer experiences, and advanced decision-making. Yet, the industry faces sobering realities. Gartner predicts that through 2026, 30% of generative AI projects will fail after proof of concept due to poor data quality, weak governance, and unclear ROI. Analysts further estimate that up to 90% of enterprise data remains unstructured and inaccessible, significantly limiting its use in analytics and applications.
Purnima Padmanabhan, Vice President and General Manager of Broadcom’s Tanzu Division, highlighted the situation: enterprises have invested in SaaS platforms and modern application stacks, but many remain constrained by silos between data and application teams, as well as unpredictable costs driven by data movement across cloud boundaries. Tanzu Data Intelligence aims to resolve these barriers by delivering a unified, multimodal architecture with predictable costs, closer to the economics of private cloud models.
Tanzu Data Intelligence: A Modern Multimodal Lakehouse
Tanzu Data Intelligence is positioned as a next-generation enterprise data lakehouse, built to transform raw data into actionable, AI-ready assets. At its core, the architecture supports structured and unstructured data across federated environments, scaling from terabytes to petabytes with millisecond query response times and high concurrency.
The platform integrates ingestion, processing, querying, and AI/ML enablement into one solution, addressing not only performance but also data sovereignty, lineage, and governance. With native vector search, the platform supports SQL queries and semantic similarity workloads across vectorized data, extending its utility for AI model training, decision support systems, and agentic applications.
Surrounding its lakehouse foundation are specialized components that address the full data lifecycle:
- Ingestion and Workflow Orchestration: Stream and batch pipelines funnel data from multiple systems, supporting real-time, event-driven architectures.
- Federated Query Services: Provide unified query access to heterogeneous data sources without data duplication, optimizing workloads for high concurrency.
- Container Compute Services: Integrated with Tanzu Platform, these services elastically scale compute resources for dynamic AI and analytics workloads.
- Real-Time Data Services: Deliver low-latency access to operational and transactional systems for real-time decision-making.
- Advanced Analytics and AI/ML Enablement: Empower developers and data scientists with built-in predictive modeling, vector processing, and tooling for GenAI applications.
Collectively, these capabilities position Tanzu Data Intelligence as a unified engine for business intelligence, AI application development, and governed self-service data access.
Tanzu Platform 10.3: Delivering Enterprise AI as Code
First introduced in 2024, Tanzu Platform 10 was designed as a prescriptive, pre-engineered platform that abstracts infrastructure complexity for developers. Version 10.3, announced at this year’s Explore event, expands on its AI and security capabilities, streamlining both new AI development and modernization of existing applications.
Key updates in Tanzu Platform 10.3 include:
- Service Publishing in Marketplace: Developers can now offer their applications as services, accelerating collaboration and deployment at scale.
- Granular AI Model Service Plans: AI models can now be governed with quotas and integrated broadly via webhooks, strengthening cost predictability, security, and compliance.
- Automated Application Modernization: New tooling helps teams onboard, refactor, and migrate legacy applications to modern, cloud-native environments with reduced operational overhead.
- Security and Vulnerability Dashboards: A new Tanzu Hub module adds visibility into risk exposure across applications and platform components, enabling security teams to prioritize remediation quickly.
- Integrated Data Services Observability: Out-of-the-box dashboards track performance, trends, and bottlenecks across data services, giving platform teams real-time insights.
For platform engineers, Tanzu 10.3 provides enhanced fleet management and observability across environments. For application developers, the combination of Tanzu Platform and Tanzu Hub accelerates the deployment of GenAI-ready applications in a secure, compliant framework.
AI Starter Kit: Accelerating Developer Onboarding
To reduce barriers to entry, Broadcom is also introducing an AI Reference Architecture and an “AI Starter Kit.” This package includes tooling, custom code, and how-to guides to simplify the deployment of Tanzu services for AI, enabling rapid prototyping and onboarding of AI workloads. Importantly, even customers on earlier Tanzu Platform versions (Ops Man 3.0.28 or later) can evaluate capabilities without upgrading their entire environment.
Broadcom’s End-to-End AI Narrative
With Tanzu Data Intelligence and Tanzu Platform 10.3, Broadcom delivers not only an infrastructure for private AI but also a comprehensive framework for bridging application and data silos. Enterprises can now standardize their application and AI workloads on a unified platform, benefitting from:
- Real-time data access with low latency and governance.
- Simplified AI model development with predictable costs.
- Greater security transparency and compliance.
- A modern PaaS experience that removes infrastructure friction for developers.
Broadcom’s Tanzu Division is bringing together data, applications, and AI to help businesses use AI safely and effectively, all while keeping things under control. For more information on Tanzu and VMware, refer to the links below.
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