Red Hat & NVIDIA unveil hybrid cloud solution for AI agents
Red Hat has announced integration with the NVIDIA Enterprise AI Factory validated design, aiming to facilitate the deployment of agentic AI systems across hybrid cloud environments.
The collaboration utilises NVIDIA RTX PRO Servers and NVIDIA Blackwell B200 systems, running on the Red Hat AI portfolio including Red Hat OpenShift AI, to support advanced generative and agentic AI workloads. Red Hat states that this move will provide enterprises with a flexible software foundation to deploy, operate and scale AI agents reliably.
Chris Wright, Chief Technology Officer and Senior Vice President, Global Engineering at Red Hat emphasised the significance of this integration, saying: "AI agents represent the near-term future of enterprise AI, where fast-moving, independent models can speed through any number of tasks to free organizations for higher level innovation. Red Hat OpenShift AI is an ideal platform to run these workloads delivered by NVIDIA Enterprise AI Factory validated designs, offering the scale, flexibility and power necessary to deliver product-ready generative AI across the hybrid cloud."
Red Hat's integration will enable NVIDIA Blackwell architecture support across Red Hat AI platforms, with a reference architecture for the NVIDIA Enterprise AI Factory developed on Red Hat OpenShift AI. This architecture has undergone full verification and performance-testing to address the growing demand for scaling AI agents. The company highlights OpenShift AI's capabilities for consistent deployment and management of AI agents, leveraging vLLM-based inference, as well as enhanced observability and monitoring features.
The reference architecture makes use of NVIDIA NIM microservices accessible through the application catalogue, permitting organisations to assemble a fully validated AI software stack. This design allows operation of on-premises AI factories equipped with NVIDIA RTX PRO Servers and NVIDIA Blackwell B200 systems.
Justin Boitano, Vice President, Enterprise AI at NVIDIA said: "NVIDIA and Red Hat are pioneering the future of enterprise AI by integrating Red Hat OpenShift AI with the NVIDIA Enterprise AI Factory validated design. Together, we're creating a more seamless, full-stack platform that IT can use as the foundation for transforming business data into actionable agentic AI intelligence."
Red Hat stresses that its enterprise AI approach combines open source technologies, the adaptability of a hybrid cloud model, and partnership with multiple stakeholders across the AI development ecosystem. The company collaborates with hardware providers and system integrators, aiming to support customers with comprehensive AI solutions that match specific business requirements.
This broader ecosystem-centric position, Red Hat notes, enables wider adoption of tools like the NVIDIA Enterprise AI Factory validated design, and is intended to meet customers' needs at various stages of the AI development lifecycle, both in the cloud and on-premises infrastructures.
Follow us on:
Share on:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Techday NZ
4 days ago
- Techday NZ
Milestone & Genoa launch EU-compliant AI for smart cities
Milestone has commenced work on Project Hafnia in Europe, collaborating with the city of Genoa, Italy, to develop AI-driven solutions for traffic management and urban infrastructure using NVIDIA technology. The project's primary objective is to use artificial intelligence to enhance city operations by leveraging regulation-compliant video data, ensuring alignment with European legal frameworks, including GDPR and the EU's AI Act. Project Hafnia, after its launch in the United States, will provide high-quality video data that have been processed using NVIDIA NeMo Curator on the NVIDIA DGX Cloud platform. Milestone is adopting the NVIDIA Omniverse Blueprint for Smart City AI, which is a reference framework designed to optimise city operations through digital twins and AI agents. In addition to this, Milestone is expanding its proprietary data platform using NVIDIA Cosmos. This approach enables the generation of synthetic video data based on real-world inputs, combining both real and synthetic datasets to build and train vision language models (VLMs) responsibly. The company has engaged Nebius, a European-based cloud provider, to supply the GPU compute required for the training of these models. This partnership is intended to ensure that all data processing and storage remain fully compliant with European data protection regulations, while supporting digital sovereignty objectives and keeping sensitive public sector data strictly within EU jurisdiction. Urban AI applications Project Hafnia seeks to harness the potential of VLMs, which are AI models capable of mapping relationships between visual data—such as images or videos—and corresponding text. This enables the models to generate summaries and insights from visual sources, which can be applied across multiple domains including transportation, safety, and security within city environments. Emphasising the importance of regulatory compliance and ethical data sourcing, the project aims to support cities throughout Europe in building and refining computer vision and AI applications that align with the region's standards for privacy, transparency, and fairness. "I'm proud that with Project Hafnia we are introducing the world's first platform to meet the EU's regulatory standards, powered by NVIDIA technology. With Nebius as our European cloud provider, we can now enable compliant, high-quality video data for training vision AI models — fully anchored in Europe. This marks an important step forward in supporting the EU's commitment to transparency, fairness, and regulatory oversight in AI and technology — the foundation for responsible AI innovation," says Thomas Jensen, CEO of Milestone. The company states that the compliant and ethically sourced data library enabled by Project Hafnia provides the necessary foundation for developing advanced video analytics models and vision language models. The models are configured for optimal performance on NVIDIA GPUs and are compatible with NVIDIA AI Blueprint frameworks focused on video search and summarisation (VSS). Application in Genoa The first practical implementation from Project Hafnia is a European Visual Language Model purpose-built for transportation management. This VLM is developed using transportation data sourced directly from Genoa, Italy, ensuring that only compliant and responsibly gathered data are used. "AI is achieving extraordinary results, unthinkable until recently, and the research in the area is in constant development. We enthusiastically joined forces with Project Hafnia to allow developers to access fundamental video data for training new Vision AI models. This data-driven approach is a key principle in the Three-Year Plan for Information Technology, aiming to promote digital transformation in Italy and particularly within the Italian Public Administration," says Andrea Sinisi, Information Systems Officer, City of Genoa. The framework developed through Project Hafnia is designed for scalability, allowing it to extend across multiple domains and accommodate future technological developments. The resulting compliant data set and the fine-tuned VLM will be made available to participating cities under a controlled access licence model, facilitating broader AI adoption across Europe whilst upholding ethical standards. Nebius as cloud partner Nebius will provide the cloud infrastructure underpinning Project Hafnia in Genoa, ensuring that all processing power and data handling are carried out within the jurisdiction of the EU. This guarantees adherence to European data handling regulations and digital sovereignty imperatives. "Project Hafnia is exactly the kind of real-world, AI-at-scale challenge Nebius was built for," says Roman Chernin, Chief Business Officer of Nebius. "Supporting AI development today requires infrastructure engineered for high-throughput, high-resilience workloads, with precise control over where data lives and how it's handled. From our EU-based data centres to our deep integration with NVIDIA's AI stack, we've built a platform that meets the highest standards for performance, privacy and transparency." Milestone's approach with Project Hafnia positions it as an early adopter within the sector of European AI development, focusing on regulatory-compliant, ethically sourced, and technologically advanced infrastructure solutions for urban environments. Through partnerships with city administrations such as Genoa and technology providers including NVIDIA and Nebius, Milestone aims to facilitate responsible deployment of AI for urban improvement initiatives across Europe.
Scoop
4 days ago
- Scoop
Smarter Streets Ahead: AI Platform Sets Blueprint For Urban Innovation
A breakthrough in AI-powered traffic management is putting the future of city infrastructure on the fast track — and it's a vision that could soon be applied across cities in Australia and New Zealand. Milestone Systems has unveiled a next-gen video data platform, Project Hafnia, developed in partnership with NVIDIA and now rolling out in European cities following its inception in the US. At its core, Hafnia is designed to power smarter, safer and more efficient cities through ethically sourced and regulation-compliant video AI models — a concept equally applicable in the Southern Hemisphere. With traffic congestion, pedestrian safety, and public surveillance emerging as key challenges for growing urban centres across ANZ, Project Hafnia offers a roadmap for leveraging AI responsibly. The system uses NVIDIA's advanced GPU platforms and large-scale video datasets — both real and synthetic — to train visual language models (VLMs) that can help city officials understand traffic flows, detect hazards, or summarise surveillance footage for faster response. 'Our cities don't just need more data, they need better, smarter data,' said Thomas Jensen, CEO of Milestone. 'With Project Hafnia, we're building the digital foundation for cities that are safer, more transparent, and AI-enabled — without compromising public trust or privacy.' While currently operational in Genoa, Italy, the platform is built to scale globally. The opportunity for ANZ councils lies in adapting this blueprint to local conditions, unlocking better traffic coordination, real-time monitoring, and urban planning insights — all with compliance and citizen protection at its heart.
Techday NZ
5 days ago
- Techday NZ
HPE & NVIDIA unveil next-gen AI factory solutions for enterprise
HPE has announced a suite of new AI factory solutions developed in partnership with NVIDIA, aimed at accelerating the adoption of artificial intelligence technologies across enterprises, service providers, government entities and AI developers worldwide. Expanding AI capabilities The company is expanding its NVIDIA AI Computing by HPE portfolio to incorporate systems built on NVIDIA Blackwell GPUs. These include composable and modular solutions designed for diverse customers, such as sovereign bodies and model builders, alongside the next generation of HPE Private Cloud AI—a turnkey AI factory for enterprises. These offerings are intended to simplify the transition to AI-driven operations by removing the complexity involved in assembling AI-optimised technology infrastructure. Antonio Neri, HPE's President and Chief Executive Officer, emphasised the important role that infrastructure plays in enabling AI adoption. In his words: "Generative, agentic and physical AI have the potential to transform global productivity and create lasting societal change, but AI is only as good as the infrastructure and data behind it." "Organisations need the data, intelligence and vision to capture the AI opportunity and this makes getting the right IT foundation essential. HPE and NVIDIA are delivering the most comprehensive approach, joining industry-leading AI infrastructure and services to enable organisations to realise their ambitions and deliver sustainable business value." NVIDIA Founder and CEO, Jensen Huang, commented on the partnership, stating: "We are entering a new industrial era — one defined by the ability to generate intelligence at scale. Together, HPE and NVIDIA are delivering full-stack AI factory infrastructure to drive this transformation, empowering enterprises to harness their data and accelerate innovation with unprecedented speed and precision." Next-generation Private Cloud AI The refreshed HPE Private Cloud AI incorporates NVIDIA Blackwell accelerated computing within the HPE ProLiant Compute Gen12 servers, which have demonstrated top performance in 23 AI benchmarking tests. New features include secure enclaves, post-quantum cryptography, and a trusted supply chain. The system is designed to provide seamless scalability across GPU generations and supports varied workloads, including agentic and physical AI use cases. The Private Cloud AI offering now features federated architecture, air-gapped management for organisations needing enhanced data privacy, multi-tenancy for team collaboration, and access to the latest NVIDIA AI Blueprints. A "try and buy" programme allows potential customers to test the solution in Equinix's network of high-performance data centres prior to purchase. Broader AI factory portfolio HPE's new AI factory solutions integrate its established technologies, such as liquid cooling and HPE Morpheus Enterprise Software, into validated, end-to-end modular systems. These composable solutions are configured before delivery, reducing deployment time for customers. HPE OpsRamp Software is used to provide full-stack observability and is validated for use with the NVIDIA Enterprise AI Factory. Additional offers include scaled-up AI factories for service providers and model builders, enhanced solutions for sovereign governments with air-gapped management, and dedicated services supporting operational and data sovereignty. Through adoption of the NVIDIA Enterprise AI Factory validated design, these HPE solutions can be deployed with the latest advancements in accelerated computing, Ethernet networking, and enterprise AI software, ensuring robust performance and scalability. AI-ready infrastructure The newly announced HPE Compute XD690 supports eight NVIDIA Blackwell Ultra GPUs and provides advanced systems management and alerting across extensive AI environments. The HPE Alletra Storage MP X10000, supporting Model Context Protocol (MCP), delivers AI-ready unstructured data to applications and supports the NVIDIA AI Data Platform reference design for efficient data handling. Expanding use cases and partnerships HPE's "Unleash AI" ecosystem has grown to include 26 new partners, supporting more than 75 use cases such as agentic AI, smart cities, manufacturing, data governance, video analytics, and cybersecurity. In collaboration with Accenture, HPE is also developing agentic AI solutions focused on financial services and procurement, using the Accenture AI Refinery platform on HPE Private Cloud AI. Accenture's solution is currently being used within HPE's own finance organisation, aimed at exploring applications in category and sourcing strategies, spend management, strategic relationship analysis and contract obligation management. New service initiatives HPE has introduced new services that cover all stages of AI factory development, including design, financing, deployment, education, management, and ongoing support. The company's financial services arm provides flexible payment schemes for AI projects, including reduced initial payments for Private Cloud AI and programmes that leverage existing technological assets to fund AI investments. GreenLake Intelligence advances hybrid IT Alongside AI factory developments, HPE unveiled GreenLake Intelligence—a framework that incorporates agentic AI capabilities for hybrid IT operations. GreenLake Intelligence aims to simplify hybrid IT management by delivering agentic AIOps across storage, networking, compute and cloud resources. The GreenLake Copilot will serve as an interface for managing IT environments with AI agents that operate with context and real-time reasoning. Antonio Neri outlined the company's strategy for hybrid IT, saying: "HPE is reimagining hybrid IT as only we can do, catapulting organisations from the era of hybrid complexity to the era of agentic-AI-powered cloud operations. HPE's new vision for hybrid IT is fueled by agentic intelligence at every layer of infrastructure, so enterprises can realise their boldest ambitions and achieve previously impossible levels of IT operations performance and efficiency." Agentic automation and sustainability The new agentic mesh technology in HPE Aruba Networking Central uses network-specific reasoning agents to analyse and remediate network and security issues. The expanded OpsRamp operations copilot adds agentic automation for IT operations, enabling capabilities such as root-cause analysis, explainability, and capacity planning across infrastructure domains. HPE Alletra Storage MP X10000 is previewing native support for Model Context Protocol servers, further automating data management. Additionally, GreenLake Intelligence includes services for FinOps, sustainability forecasting, workload planning, and proactive infrastructure optimisation to address cost and carbon footprint concerns. Cloud operations and modernisation The HPE CloudOps Software suite unifies automation, orchestration, governance, and cyber resiliency across multi-cloud and multi-vendor environments. HPE supports customers with enhanced services for adoption and provides tools such as CloudPhysics Plus for infrastructure and workload assessment. The new HPE Cloud Commit programme gives customers flexible purchasing models with potential discounts on long-term investments. HPE Financial Services supports customers with zero percent financing on select software solutions and savings for storage portfolio purchases, further offering lifecycle services for responsible, sustainable technology decommissioning.
