logo
Dell unveils new AI server range & managed services with NVIDIA

Dell unveils new AI server range & managed services with NVIDIA

Techday NZ20-05-2025

Dell Technologies has introduced new enterprise AI solutions developed with NVIDIA aimed at accelerating artificial intelligence adoption and deployment within organisations.
The company unveiled advancements to the Dell AI Factory with NVIDIA, offering updated infrastructure, full-stack enterprise AI solutions, and managed services for organisations seeking to scale their AI operations.
Among the newly announced offerings are the air-cooled Dell PowerEdge XE9780 and XE9785 servers, which simplify integration into existing enterprise data centres. Complementing these are the liquid-cooled Dell PowerEdge XE9780L and XE9785L models, specifically designed to accelerate rack-scale deployment. The new server range supports up to 192 NVIDIA Blackwell Ultra GPUs with direct to chip liquid cooling and can be customised with up to 256 NVIDIA Blackwell Ultra GPUs per Dell IR7000 rack.
These servers, marking the next generation after Dell's PowerEdge XE9680, can deliver up to four times faster large language model training with the 8-way NVIDIA HGX B300. The Dell PowerEdge XE9712 featuring NVIDIA GB300 NVL72 is highlighted for its rack-scale efficiency in training, up to fifty times more AI reasoning inference output, and a five times improvement in throughput. Dell also introduced PowerCool technology to improve power efficiency within these platforms.
The expansion of the server portfolio includes the Dell PowerEdge XE7745, which will be available with NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs in July 2025. This platform, supported within the NVIDIA Enterprise AI Factory validated design, supports up to eight GPUs in a 4U chassis and targets physical and agentic AI use cases such as robotics, digital twins, and multi-modal AI applications.
Dell has also announced plans to support the NVIDIA Vera CPU and the NVIDIA Vera Rubin platform, with a new PowerEdge XE server planned for use within Dell Integrated Rack Scalable Systems.
To address connectivity and networking demands, Dell expanded its offering with the PowerSwitch SN5600 and SN2201 Ethernet, both part of the NVIDIA Spectrum-X Ethernet networking platform, as well as the NVIDIA Quantum-X800 InfiniBand switches. These switches deliver up to 800 gigabits per second of throughput and are supported by Dell's ProSupport and Deployment Services.
The Dell AI Factory with NVIDIA solutions have been built to support the NVIDIA Enterprise AI Factory validated design, incorporating Dell and NVIDIA compute, networking, storage, and NVIDIA AI Enterprise software to deliver a fully integrated AI solution for enterprises.
Another focus is on enhancing data management for AI applications. With improvements to the Dell AI Data Platform, the company states that applications can benefit from always-on access to high-quality data. Dell ObjectScale now supports large-scale AI deployments, aiming to reduce cost and data centre footprint with a denser, software-defined system. Integrations with NVIDIA BlueField-3 and Spectrum-4 networking components aim to boost performance and scalability.
A new high-performance solution leveraging Dell PowerScale, Dell Project Lightning, and PowerEdge XE servers has been introduced, utilising KV cache and NVIDIA's NIXL Libraries, to support large-scale distributed inference workloads. Additionally, Dell ObjectScale will support S3 over RDMA, which the company claims can result in up to 230% higher throughput, up to 80% lower latency, and 98% reduced CPU load compared to traditional S3, enabling improved GPU utilisation.
Dell has announced an integrated offering that incorporates the NVIDIA AI Data Platform, targeted at accelerating curated insights from data and agentic AI applications and tools.
In terms of software, the NVIDIA AI Enterprise platform is available directly from Dell and includes NVIDIA NIM, NVIDIA NeMo microservices, NVIDIA Blueprints, NVIDIA NeMo Retriever for RAG, and NVIDIA Llama Nemotron reasoning models. Dell said this enables the development of agentic workflows and helps organisations shorten the time to achieve AI outcomes.
To simplify deployment and management, Dell will offer Red Hat OpenShift support on the Dell AI Factory with NVIDIA. The company has also launched Dell Managed Services for the AI Factory, providing management across the entire NVIDIA AI solutions stack, including ongoing monitoring, reporting, version upgrades, and patching.
Michael Dell, Chairman and Chief Executive Officer at Dell Technologies, said, "We're on a mission to bring AI to millions of customers around the world. Our job is to make AI more accessible. With the Dell AI Factory with NVIDIA, enterprises can manage the entire AI lifecycle across use cases, from training to deployment, at any scale."
Jensen Huang, Founder and Chief Executive Officer at NVIDIA, said, "AI factories are the infrastructure of modern industry, generating intelligence to power work across healthcare, finance and manufacturing. With Dell Technologies, we're offering the broadest line of Blackwell AI systems to serve AI factories in clouds, enterprises and at the edge."
The new solutions and managed services will become available across 2025 in line with server platform rollouts and future NVIDIA integration support.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Cloudera joins AI-RAN Alliance to boost AI in telecoms sector
Cloudera joins AI-RAN Alliance to boost AI in telecoms sector

Techday NZ

timea day ago

  • Techday NZ

Cloudera joins AI-RAN Alliance to boost AI in telecoms sector

Cloudera has joined the AI-RAN Alliance, a global consortium focused on integrating artificial intelligence into telecommunications infrastructure, with particular relevance for service providers in Australia and New Zealand. The AI-RAN Alliance, whose founding members include NVIDIA, also counts Dell, SoftBank, T-Mobile, KT and LG U+ among its participants. The group aims to address the integration of AI within current and emerging telecommunications networks and to standardise the use of AI for optimising shared infrastructure, accelerating edge AI application development, and providing reliable deployment models for AI in telecoms. Cloudera's entry into the alliance follows a period of growing interest among telecommunications providers in using AI to optimise network operations and reduce operational costs. Virtualisation and new infrastructure architectures are key drivers, and AI is seen as an important means of improving service efficiency and enabling new business opportunities for operators. The complexities associated with deploying AI at scale across distributed edge environments present significant challenges for the sector. Telecoms need to take an enterprise-wide approach to operationalise these technologies within the radio access network (RAN) if they are to unlock commercial benefits. As a member of the AI-RAN Alliance, Cloudera will participate in the 'Data for AI-RAN' working group, which is tasked with standardising data orchestration, large language model driven network automation, and hybrid-enabled MLOps across telecommunications and AI workloads. According to the company, this involvement will aim to align data and AI pipeline development with operational requirements, thereby supporting quicker innovation and the deployment of AI-native use cases. Cloudera will also support the Alliance's three stated objectives-AI-for-RAN, AI-and-RAN, and AI-on-RAN-and will work to accelerate the use of AI in real-world scenarios. Potential applications include service level agreement-driven network availability and real-time anomaly detection. The company plans to develop and evaluate reference architectures that telecoms operators can deploy in live environments, facilitating shorter development cycles and improving collaboration around model reusability. Another focus is demonstrating the use of Cloudera's platform for real-time decision-making at the network edge. This will involve enabling scalable preparation of training data and MLOps, as well as operationalising AI inference at scale, while maintaining governance and edge-to-core orchestration. Keir Garrett, Regional Vice President for Cloudera Australia and New Zealand, said, "Joining the AI-RAN Alliance enhances our ability to drive innovation and operational excellence for telecommunications providers across Australia and New Zealand. Leading telcos are already leveraging AI to optimise networks, improve engagement, and streamline operations, with edge computing enabling scalable transformation. Now, we're focused on guiding them through the next phase-unlocking greater value while future-proofing infrastructure. Just as smart highways enhance outdated roads, this shift ensures telcos meet growing user demand with speed, reliability, and adaptability-paving the way for the future of connectivity." Speaking about the company's contribution to the Alliance, Abhas Ricky, Chief Strategy Officer at Cloudera, commented, "Cloudera is proud to bring its data and AI expertise to the AI-RAN Alliance. The network is the heart of the telecom business, both in driving margin growth and in service transformation, and AI can unlock substantial value across those dimensions. Given our leadership in the domain - having powered data and AI automation strategies for hundreds of telecommunications providers around the world, we now look forward to accelerating innovation alongside fellow AI-RAN Alliance members and bringing our customers along. Our goal is to help define the data standards, orchestration models, and reference architectures that will power intelligent, adaptive, and AI-native networks of the future." Jemin Chung, Vice President Network Strategy at KT, said, "We are proud to collaborate with Cloudera and fellow AI-RAN Alliance members in the 'Data for AI-RAN' working group. As AI becomes increasingly central to next-generation networks, the ability to harness data securely and at scale will be a key differentiator. Through this initiative, we look forward to defining best practices that enable AI-centric RAN evolution and improve operational intelligence." Dr Alex Jinsung Choi, Principal Fellow, SoftBank's Research Institute of Advanced Technology, and Chair of the AI-RAN Alliance, said, "Cloudera is an incredible addition to the AI-RAN Alliance, which has grown rapidly as demand for improved AI access and success increases across the industry. The company's leadership in data and AI, combined with their extensive telecommunications footprint, will play a vital role in advancing our shared vision of intelligent, AI-native networks."

Cloudera joins AI-RAN Alliance to boost telecom AI networks
Cloudera joins AI-RAN Alliance to boost telecom AI networks

Techday NZ

time2 days ago

  • Techday NZ

Cloudera joins AI-RAN Alliance to boost telecom AI networks

Cloudera has joined the AI-RAN Alliance, a consortium of telecom and artificial intelligence companies working towards integrating AI with next-generation telecommunications infrastructure. The AI-RAN Alliance includes companies such as Dell, NVIDIA, SoftBank, and T-Mobile, and focuses on embedding AI into telecommunications systems with a particular emphasis on radio access networks (RAN). The group aims to address challenges such as standardising AI integration, enabling shared AI infrastructure, and developing applications that support the evolution of telecom networks. Telecommunications companies worldwide are increasingly exploring virtualisation and modern infrastructures to optimise network operations and reduce costs. By incorporating AI, these providers seek to enhance network service efficiency and open new avenues for service innovation. However, deploying AI at scale in distributed edge environments and across radio access networks presents a range of technical and operational complexities. Cloudera's addition to the consortium is intended to bolster efforts to manage real-time data, advance edge AI capabilities, and develop hybrid machine learning operations (MLOps) throughout telecom environments. The company brings experience in managing data across hybrid and mixed infrastructure, which the alliance hopes will advance real-time data utilization and edge-to-core orchestration. Within the alliance, Cloudera will participate in the 'Data for AI-RAN' working group. This initiative aims to develop standardised data orchestration frameworks, facilitate automation of network operations using large language models, and implement hybrid-enabled MLOps across telecom and AI workloads. Cloudera's expertise is expected to help align data and AI workflows with the operational requirements of telecom providers and to promote quicker innovation and deployment of AI-native solutions. The company will also contribute to the alliance's three main objectives: AI-for-RAN, AI-and-RAN, and AI-on-RAN. These aims relate to applying AI directly to RAN operations, integrating AI with RAN functions, and deploying AI applications on RAN platforms, respectively. As part of its role, Cloudera plans to help create reference architectures, validate them in live network environments, and encourage model reuse among consortium members. Cloudera's technology will be used to demonstrate real-time decision-making capabilities at the network edge. This includes providing support for scalable preparation of training data, facilitating MLOps, and operationalising AI inference while maintaining governance, visibility, and coordinated orchestration from network edge to core. Abhas Ricky, Chief Strategy Officer at Cloudera, said, "Cloudera is proud to bring its data and AI expertise to the AI-RAN Alliance. The network is the heart of the telecom business, both in driving margin growth and in service transformation, and AI can unlock substantial value across those dimensions. Given our leadership in the domain - having powered data and AI automation strategies for hundreds of telecommunications providers around the world, we now look forward to accelerating innovation alongside fellow AI-RAN Alliance members, and bringing our customers along. Our goal is to help define the data standards, orchestration models, and reference architectures that will power intelligent, adaptive, and AI-native networks of the future." Jemin Chung, Vice President Network Strategy at KT, commented, "We are proud to collaborate with Cloudera and fellow AI-RAN Alliance members in the 'Data for AI-RAN' working group. As AI becomes increasingly central to next-generation networks, the ability to harness data securely and at scale will be a key differentiator. Through this initiative, we look forward to defining best practices that enable AI-centric RAN evolution and improve operational intelligence." Dr. Alex Jinsung Choi, Principal Fellow, SoftBank's Research Institute of Advanced Technology and Chair of the AI-RAN Alliance, said, "Cloudera is an incredible addition to the AI-RAN Alliance, which has grown rapidly as demand for improved AI access and success increases across the industry. The company's leadership in data and AI, combined with their extensive telecommunications footprint, will play a vital role in advancing our shared vision of intelligent, AI-native networks."

Illumio & NVIDIA partner to boost Zero Trust for critical infrastructure
Illumio & NVIDIA partner to boost Zero Trust for critical infrastructure

Techday NZ

time4 days ago

  • Techday NZ

Illumio & NVIDIA partner to boost Zero Trust for critical infrastructure

Illumio has announced a strategic integration with NVIDIA aimed at helping organisations secure critical infrastructure and improve their Zero Trust maturity by bringing together breach containment capabilities with the NVIDIA BlueField networking platform. The integration allows critical infrastructure organisations to deploy Illumio directly on NVIDIA BlueField, giving security teams comprehensive visibility into network dependencies and enabling precise security controls at both the host and network levels. With this collaboration, organisations can benefit from deep visibility into network traffic and enhanced protection of critical assets. The solution leverages NVIDIA BlueField Data Processing Units (DPUs) as enforcement points for Zero Trust, thereby simplifying the protection of operational technology (OT) and information technology (IT) systems while helping organisations ensure operational continuity and meet compliance standards. In the future, Illumio's platform will also allow organisations to use its AI-driven insights to identify risks and attacker behaviours, enabling rapid threat detection within Industrial Control Systems (ICS) and OT environments. The collaboration is positioned against the backdrop of growing cyber threats and heightened global regulatory expectations for critical infrastructure. According to Illumio, the integration delivers several key benefits, including enhanced visibility and policy enforcement for traffic within and between IT and OT networks. Using Illumio's labelling architecture, organisations can visualise all traffic to and from OT systems equipped with NVIDIA BlueField to better understand system communications across the infrastructure. The integration also promises rapid deployment of Zero Trust segmentation in OT and ICS settings, designed to reduce complexity, limit lateral movement risks, and contain potential breaches. Additional benefits cited include improved compliance and operational resilience, as organisations can identify assets, monitor traffic, and enforce security policies across converged IT/OT environments without impacting system performance or requiring major architectural changes. The combined solution is intended to provide consistent and reliable microsegmentation across varying environments while maintaining uptime and resilience. Todd Palmer, Senior Vice President of Global Partner Sales and Alliances at Illumio, stated, "The integration between Illumio and NVIDIA will significantly strengthen security for cyber-physical systems and bring us closer to achieving our vision of a world without cyber disasters. Critical infrastructure is under threat like never before. Together with NVIDIA, we're making it easier for organizations to protect critical systems, ensure operational continuity, and meet stringent compliance requirements in an increasingly complex landscape." Ofir Arkin, Senior Distinguished Architect for Cybersecurity at NVIDIA, said, "Cyber risks against critical infrastructure are more sophisticated and disruptive than ever, and lateral movement remains a key factor in successful attacks. Integrating the Illumio and NVIDIA BlueField platforms enables organizations to enhance visibility and control across IT and OT networks, reduce risk, contain attacks, and strengthen operational resilience." Illumio was named as a leader in The Forrester Wave: Microsegmentation Solutions, Q3 2024. The company is part of the NVIDIA partner ecosystem, offering a platform built on an AI security graph that includes Illumio Insights for AI-driven cloud detection and response, as well as Illumio Segmentation aimed at facilitating Zero Trust strategies. The partnership targets organisations responsible for critical infrastructure, which face increasing operational risks from sophisticated cyber threats. The converged approach to IT and OT security seeks to enable these organisations to identify risks, contain threats before they spread, and comply with regulatory requirements across complex operational environments.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store