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HPE
Data center news, project activity, and monthly briefings for HPE.
Editor's picks
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ST 10476 2026 ADD 36
The European Commission published the Digital Decade 2026 country report for Denmark (SWD(2026) 155 annex), assessing Denmark’s progress on digital targets, listing measures and budgets, and issuing recommendations.
- Main action: The Commission’s country report presents Denmark’s performance against Digital Decade KPIs and budgets, highlighting connectivity (e.g., 97.74% VHCN coverage in 2025), AI uptake (42.03% of enterprises in 2025), and roadmap funding of EUR 1.07 billion (with EUR 832 million public). It documents national measures, budget allocations and policy agreements (e.g., Telecommunications Policy Agreement June 2025, national cyber agreement 2026-2029).
- Background and implementation details: The report lists concrete funding and initiatives: RRF digital allocation EUR 382 million (incl. EUR 13 million for digital infrastructures), Denmark allocates EUR 0.4 billion (28%) of its RRP to digital, chips support via DKK 140 million (2025) + DKK 40 million (2026) from Innovation Fund Denmark, a DKK 211 million political cyber agreement for 2026-2029, and the launch/targets of projects such as the POEM Technology Centre, the Magne quantum computer (ready end-2026/early-2027) and the 55 North fund (target EUR 300 million).
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ST 10476 2026 ADD 38
The European Commission published the Digital Decade 2026 country report for Finland.
- Main announcement: The Commission’s staff working document assesses Finland’s digital performance and issues recommendations and funding summaries, noting concrete budgets and project timelines such as 14 roadmap measures totalling EUR 559 million, the digital part of Finland’s RRF evaluated at EUR 526 million, and an estimated total economic impact of EUR 2.07 billion from RRF digital measures. It highlights infrastructure and technology milestones including LUMI supercomputer expansion (new data centre construction started January 2026, production readiness expected spring 2027) and the government allocation of EUR 79 million for the Kvanttinova pilot (2024-2027).
- Background and implementation details: The report documents policy actions and project-level developments: FiCCC operational and signed a MoU with Nordic and Baltic competence centres (December 2025); 110 edge nodes deployed by 2025 (Edge Node Observatory); Finland allocates 29% of its RRP to digital (EUR 0.5 billion) and cohesion policy contributes EUR 0.4 billion for digital transformation. It records private and public investments (e.g., Tesi/Verda EUR 55 million funding; Nokia & NestAI strategic investment EUR 100 million), and sets timelines for eID/EUDI Wallet deployment and cloud security rules (consultation spring 2026, final rules by autumn 2026).
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Hotter Than a Hot Tub: The 45°C Breakthrough to Cool AI’s Biggest Machines
NVIDIA announced the Rubin generation of AI infrastructure, the world’s first servers to achieve 100% closed-loop liquid cooling and to operate coolant up to 45°C, enabling substantial energy and water savings (blog published Jun 21, 2026).
- Main announcement: NVIDIA’s Rubin platform and the NVIDIA DSX AI factory reference design describe a 100% liquid-cooled server architecture running coolant up to 45°C, eliminating server fans and enabling chiller-less operation in favorable climates; the blog states the design can reduce facility cooling water use to near zero and cites a potential savings of over $4 million annually for a 50-megawatt hyperscale facility that adopts liquid cooling.
- Background and supporting details: The article notes Motivair (Schneider Electric) as an ecosystem partner, cites industry context that cooling can account for up to 40% of data center electricity use and that raising chiller plant temperatures by 1°C can cut cooling energy costs by ~4%; it quantifies conventional water use as ~2.6 million gallons per megawatt per year for cooling-tower systems and describes closed-loop dry-cooler designs requiring chillers only ~1% of the year in some climates.
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NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks
NVIDIA and multiple telecom operators announced the deployment and commercialization of geographically distributed “AI grids” at NVIDIA GTC 2026.
- Announcement details: NVIDIA and major operators (including AT&T, Comcast, Spectrum, Akamai, Indosat Ooredoo Hutchison, T‑Mobile) unveiled plans to convert existing distributed network sites into AI grids, leveraging roughly 100,000 distributed network data centers and tapping more than 100 gigawatts of potential AI capacity over time; partnerships cited include AT&T with Cisco and NVIDIA (IoT AI grid), Comcast with NVIDIA, Decart, Personal AI and HPE, and Akamai expanding Akamai Inference Cloud across 4,400+ edge locations using NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs.
- Background and ecosystem: The announcement references the NVIDIA AI Grid Reference Design and an ecosystem of partners (Cisco, HPE, Armada, Rafay, Spectro Cloud); use cases called out include IoT/public-safety, real-time vision, cloud gaming, media rendering and localized sovereign deployments (e.g., Indosat running Sahabat-AI within Indonesia). No specific monetary values or contract prices are disclosed in the article.
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NVIDIA DSX Air Boosts Time to Token With Accelerated Simulation for AI Factories
NVIDIA announced NVIDIA DSX Air at GTC 2026, a SaaS simulation platform to build full-stack digital twins of AI factories and accelerate deployments.
- Main announcement:NVIDIA DSX Air is a software-as-a-service platform that provides high-fidelity digital simulations of NVIDIA hardware (GPUs, SuperNICs, DPUs, switches) and integrates with partner solutions via open, API-based connectivity, enabling customers to validate compute, networking, storage, orchestration and security and reduce time to first token from weeks/months to days/hours.
- Background & implementation details: Partners and customers (examples: CoreWeave, Siam.AI, Hydra Host) are already using DSX Air; GTC demos included a multi-tenant RTX PRO Server simulation with Netris (network orchestration), Rafay (host orchestration), NVIDIA Run:ai (GPU allocation), a VAST AI Operating System video RAG pipeline demo, and security validations with Check Point, TrendAI Vision One, and Keysight running on simulated BlueField DPUs.
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EcoStruxure™ IT solutions deliver on vision: Reflecting on 2025 and looking ahead to 2026
Schneider Electric announces a 2026 roadmap and product enhancements for EcoStruxure IT.
- Main announcement: Schneider Electric announced upcoming 2026 enhancements across the EcoStruxure IT portfolio, including NetBotz 250A expanded sensor/pod support (leak rope and up to 12 expansion sensor pods in early 2026), a NetBotz TAA offering for U.S. government clients, DCE scalability to up to 4,000 devices under SNMPv3, full Web UI goals for DCE/ITA, a planned 3D engine and AR mobile application for IT Advisor, and rollout of AI-driven IT operations (anomaly detection, data agents, battery insights).
- Background and details: The post is a Schneider Electric blog announcement (published February 18, 2026, author: Bjarke Fenger) summarizing 2025 progress and planned 2026 features: licensing simplification (from >300 commercial references to 9), mySchneider portal integration, ISO 27001 certification for IT Expert, Motivair liquid-cooling monitoring integration, addition of CUE (Carbon Usage Effectiveness) reporting, and deeper integrations with HPE, Dell, ServiceNow, Power Monitoring Expert, and EcoStruxure Building Operation. This is a forward-looking corporate roadmap announcement, not a third-party transaction report.
Recent news
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AI data boom gives tape storage a new lease on life
Network World has published commentary on LTO tape storage demand, citing 2025 shipment data and a 2026 first-quarter surge.
- LTO says the industry shipped 160.3 exabytes of compressed tape capacity in 2025, down 9% from 176.5 exabytes in 2024, while Q1 2026 shipments rose 57% year over year.
- The article attributes the rebound to AI-generated data growth, archival storage demand, and offline backups; it also explains tape’s low power use, high capacity, and air-gap security benefits.
- This is a commentary article, not a first-time product or company announcement, although it quotes Hugues Meyrath, CEO of Quantum, on the strategic role of tape in data infrastructure.
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When analyst benchmarks miss the mark: Why Nvidia doesn’t fit Forrester’s data center matrix
Zeus Kerravala argues that Forrester’s latest Data Center Networking Solutions Wave misjudges Nvidia by applying a legacy enterprise framework to modern AI networking.
- Kerravala says Forrester gave Nvidia a 1 out of 5 for vision and only 2% weight to AI infrastructure support, even though Nvidia scored 5.0 in the AI Infrastructure category.
- He says Nvidia’s networking business is built around high-throughput AI fabrics, including Ethernet for AI, scale-across topologies, co-packaged optics, and integrated DPUs; he also notes Nvidia’s networking run rate is more than $11 billion.
- This is an opinion/commentary article, not a company announcement. It references the Forrester Wave for Data Center Networking Solutions Q3 2026 and discusses how buyers should use more specialized evaluation frameworks for AI and high-performance compute.
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HPE’s record Q3: AI infrastructure, networking demand drives growth, but supply constraints tap the brakes
HPE reported a record third-quarter result driven by AI, networking, and server demand.
- HPE revenue reached $12.2 billion, up 34% year over year; CEO Antonio Neri said the company booked more orders than any prior quarter and set a record backlog.
- HPE said AI systems orders of $2.4 billion rose over 30% sequentially; CFO Marie Myers said HPE expects networking revenue to grow 13%-17% and cloud and AI revenue to grow 14%-18% in fiscal 2027.
- Neri said routing and data center switching demand accelerated, while supply constraints in DDR5, DDR4, NAND, and high-bandwidth memory continue to limit fulfillment; HPE is seeking multi-year supply agreements and offering alternative configurations.
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VMware by Broadcom: Product, service and support news
Broadcom has announced multiple VMware-related product and support changes, including a new AI infrastructure stack and a slower release cadence.
- At VMware Explore in Las Vegas on Aug. 31, 2026, Broadcom announced the VMware AI Factory, a new packaged AI infrastructure stack, plus a new agent governance platform and an open-source security portfolio.
- Broadcom also said enterprises will be able to run production AI on-premises with VMware Private AI Cloud; separately, VMware’s release cycle is shifting from 2 years to 3 years, and VCF 9.0 support is being extended to 6 years instead of 5.
- The article is a timeline and analysis of Broadcom’s VMware strategy since the May 2022 acquisition announcement; it also references earlier deals, lawsuits, licensing changes, layoffs, and other market reactions.
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Out of band, out of mind: DEF CON research calls IPMI a ‘sanctioned backdoor’ into enterprise networks
HD Moore, co-founder of runZero, disclosed new BMC and IPMI vulnerabilities at DEF CON 34, along with an open-source scanning tool called OOBscan.
- Moore said his research found 123 confirmed vulnerabilities across 35 draft advisories affecting eight vendors, including HPE iLO, Supermicro IPMI, Dell iDRAC 10, and OpenBMC.
- The presentation said about 51,000 devices responded to IPMI on an internet-wide scan, with roughly 23,000 to 25,000 exposing crackable password hashes; the article also says runZero released OOBscan on GitHub.
- Context: this is a conference disclosure / security research presentation, not a product launch or financial announcement.
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A 13-year-old flaw is exposing tens of thousands of data center management systems
Lava has warned that tens of thousands of internet-exposed Baseboard Management Controllers (BMCs) in enterprise and data center servers remain vulnerable to a 13-year-old IPMI flaw. - Lava’s researchers found 36,872 BMCs reachable from the public internet, with 66% (24,650) exposing authentication hashes and over 30% tied to reused, factory-set, or predictable passwords.
- The article says Supermicro and HPE servers were among the most impacted; Lava reported the findings to affected parties and Supermicro, which said it would review default password policy improvements, and Lava says Supermicro has since fixed the exposure.
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Oracle expands Cloud@Customer with new database service for mid-sized workloads
Oracle has announced Base Database Cloud@Customer, a managed database offering for running databases, applications, VMs, and AI agents in customers’ own data centers.
- The new hybrid cloud service combines Base Database Service and Data Infrastructure Cloud@Customer X11; Oracle says it is now generally available and is aimed at enterprises that need data residency, regulatory compliance, and low latency.
- The platform uses two Oracle X11 compute servers with shared all-flash storage, offering up to 60 usable processor cores, 660 GB memory per server, 47.2 TB storage, and 10/25 GbE networking; Oracle did not provide pricing.
- The article frames the launch as especially relevant for regulated industries and for private AI behind the firewall, while noting that analysts expect adoption mainly among existing Oracle customers.
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Quantum Meets the Data Center: Hybrid Systems Take Off
The article explains a shift in quantum computing toward hybrid quantum-classical infrastructure and cites policy support, vendor roadmaps, and conference remarks rather than a single standalone company announcement.
- The U.S. Department of Commerce announced more than $2 billion in incentives in May 2026 to accelerate quantum commercialization, including quantum manufacturing and utility-scale, fault-tolerant systems; the White House followed with a June 2026 Executive Order on the Next Frontier of Quantum Innovation.
- The piece also cites vendor and industry developments: IBM outlined quantum-centric supercomputing in March 2026; Nvidia launched NVQLink at GTC 2026; HPE said in June 2026 it is working with multiple partners on hybrid quantum configurations; and AMD said it is working with OQC and JPMorgan Chase on quantum, AI, and HPC workloads.
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US Air Force Research Lab to relocate TI-19 supercomputer from Ohio to Mississippi
The US Department of Defense’s High Performance Computing Modernization Program (HPCMP) plans to relocate the TI-19 supercomputer from Wright-Patterson Air Force Base in Ohio to the Engineer Research and Development Center (ERDC) facility in Vicksburg, Mississippi.
- Single-source notice says Hewlett Packard Enterprise will receive the relocation contract because it is the manufacturer of TI-19 and has the only access to the proprietary physical and logical interconnections needed to disassemble and reassemble the system.
- A referenced 2016 presentation lists TI-19 as an FY21 system with 47 petaflops on a Cray EX architecture; the article notes the system was originally expected to run until 2024 and that Wright-Patterson recently unveiled the $20m Flyer supercomputer with 14 petaflops.
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Data Center Hardware Highlights: July 2026
Data Center Knowledge published a roundup of its most-read hardware coverage from June 2026, summarizing industry developments in AI infrastructure rather than announcing a single new project.
- The article highlights HPE, Nvidia, IBM, AWS, QumulusAI, and Qualcomm as the main companies shaping a more systems-focused AI stack, with emphasis on networking, memory supply, CPU strategy, orchestration software, and chip design.
- It references specific developments including Nvidia overtaking rivals in data center Ethernet switching per IDC, AWS launching Graviton5-powered EC2 instances, QumulusAI’s $124 million deal, and Qualcomm’s Meta CPU deal; the piece is a recap/commentary article and not a primary company announcement.
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FLOPS vs Megawatts: Who’s Winning in 2026 Supercomputing?
The article provides analysis and commentary on 2026 supercomputing buildouts, contrasting public exascale systems with hyperscaler AI campuses. It is not a first-time announcement by one entity, but a roundup of recent developments and milestones.
- The piece compares public TOP500 systems and private hyperscaler AI campuses, highlighting that private builds are measured in hundreds of megawatts to gigawatts rather than HPL scores.
- It cites several recent milestones, including Microsoft’s Wisconsin Fairwater campus, xAI’s Colossus 2, OpenAI and Oracle’s Stargate, and Meta’s Prometheus nuclear power agreements.
- It also notes Alice Recoque installation in France under a €354.8 million EuroHPC JU contract with Eviden and mentions the next TOP500 list at SC26 in November.
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Pittsburgh Supercomputing Center awarded $10m by NSF for Bridges-3 supercomputer
The National Science Foundation has awarded the Pittsburgh Supercomputing Center $10 million for Bridges-3, the next generation of its flagship supercomputer.
- NSF funding: PSC said the award will support Bridges-3, built by HPE with Nvidia B200 GPUs, high-core-count AMD CPU nodes, an all-flash Lustre file system, and Nvidia InfiniBand networking.
- Timeline and context: Construction is expected to begin at PSC’s new data center in early 2027, with the system slated to come online in the summer of 2027; PSC said it will expand on Bridges-2 and serve a range of scientific workloads including modeling, simulation, data analytics, and AI.
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Nvidia unveils Vera Rubin platform targeting AI, HPC infrastructure
Nvidia has launched the Vera Rubin rack-scale CPU+GPU supercomputer platform at ISC High Performance 2026 in Hamburg.
- Main announcement: Nvidia unveiled the Vera Rubin platform combining Vera CPUs, Rubin GPUs, NVLink-C2C interconnects, ConnectX-9 SuperNICs, and BlueField-4 DPUs in a rack-scale system with direct liquid cooling, supporting up to 144 GPUs per rack and claiming >7 exaflops AI and 5 petaflops FP64 performance; the launch was made public at the ISC High Performance 2026 conference in Hamburg.
- Deployment and partners: Several research centers announced plans to deploy Vera Rubin: LRZ will use it in the Blue Lion exascale-class HPE Cray system (entering service in 2027, ~30x current LRZ compute), NERSC will use Vera Rubin tech in Doudna (built by Dell Technologies at Lawrence Berkeley National Laboratory), and Los Alamos National Laboratory selected Vera Rubin for three systems (Mission, Vision, Veritas); Dell and Super Micro announced NVL4-based Vera Rubin systems at the event.
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HPE Interview: Why Data Center Efficiency Is Now Core to IT Decisions
HPE principal technologist Andrew DesRochers says customers are shifting conversations from sustainability rhetoric to operational efficiency as AI deployments collide with limits in energy, cooling, and water.
- Main announcement/action:Andrew DesRochers (HPE) states that energy availability, cooling infrastructure, resource utilization, and utility timelines are now primary drivers of IT and site-selection decisions as AI moves from experimentation to production; this perspective was shared in an interview at HPE Discover 2026.
- Background and details: Customers are increasingly evaluating alternatives such as direct liquid cooling, waterless cooling, and even high-voltage DC; operators are focusing on measurement and analytics, distinguishing training vs. inference workloads, and considering utility interconnection timelines and community scrutiny of water consumption when planning deployments.