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• Jul 15, 2026

  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.
• Jul 10, 2026

  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.
• Jul 10, 2026

  China $16 Billion AI GPU (Graphics Processing Unit) Startup Hong Kong-Listed Shanghai Iluvatar CoreX Semiconductor Raised $902 Million in Share Sale at 15% Discount to Closing Price (9/7/26), Share Price +234% Since IPO in 2026 January (8/1/26), Founded in 2015 by ex-Oracle R&D Director Li Yunpeng 

  Shanghai Iluvatar CoreX Semiconductor has announced a $902 million share sale at a 15% discount to the closing price, following its Hong Kong listing and earlier IPO fundraising.

  • The company said it raised $902 million in a share sale on 9 July 2026, priced at a 15% discount to the closing price.
  • The article also says Shanghai Iluvatar CoreX Semiconductor had its Hong Kong IPO in January 2026, raising $446 million at an IPO price of HKD 144.6 and closing at HKD 156.8 on day one; it was described as a $16 billion AI GPU startup founded in 2015 by Li Yunpeng.
• Jul 9, 2026

  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.
• Jul 9, 2026

  NSF’s $20M Quantum Push: What It Could Mean for Future Data Centers

  The US National Science Foundation (NSF) has announced $20 million in additional funding for five quantum research teams as part of its National Quantum Virtual Laboratory program.

  • NSF selected five additional teams to join the National Quantum Virtual Laboratory, with each team receiving $4 million over two years to refine development plans for fault-tolerant computing, quantum networking, and next-generation sensing.
  • The program expands to nine design projects total, involves researchers across 20 US states and partners including NASA, NIST, Department of Energy national laboratories, and industry participants such as Nvidia, Honeywell, IonQ, and Quantinuum; it also supports the White House executive order on quantum innovation.
• Jul 3, 2026

  Marvell boosts custom silicon push with AMD engineering lead hire

  Marvell Technology has hired former AMD engineering lead Jay Kirkland as SVP of custom silicon engineering.

  • Kirkland joins Marvell after more than six years at AMD, where he led customer engineering, platform engineering, and AI enablement for hyperscale and AI customers.
  • Marvell is also pursuing custom silicon, AI networking, and optical interconnects; the article cites a $2 billion Nvidia investment in Marvell and Marvell’s $3.25 billion acquisition of Celestial AI.
  • The story also mentions Marvell’s Teralynx T100 switch for AI and cloud data center infrastructure, and its acquisitions of Polariton Technologies and Celestial AI.
• Jun 17, 2026

  HPE Discover: Neri outlines an AI architecture built for agents

  HPE announced at HPE Discover 2026 in Las Vegas new AI-focused product and platform updates across networking, compute, storage and cloud.

  • Main announcement: HPE detailed cross-portfolio AI updates including new networking hardware (QFX switches, PTX 12,000 with 800G routing, SRX 4700 quantum-safe firewall at 1.44 Tbps, MX 301 edge router), compute (ProLiant DL 394 Gen 12; Private Cloud AI scaling to 256 GPUs with multi-node inference and a three-tier AI Factory), storage (Alletra MPX 10,000 as the Private Cloud AI storage layer with native MCP and Nvidia Certified Storage validation), and cloud/management (HPE CloudOps consolidation and Unleash AI program covering 60+ validated partners).
  • Background and specifics: Announcements include agentic governance (zero-code agent registration, three-tier identity model, Nvidia Open Shell, NeMo Cloud workflows, Zerto rollback), performance claims (AI training with one-quarter the GPUs vs prior Blackwell-generation platform; inference at one-tenth the cost per million tokens; 7 to 12x faster time to value vs custom environments), and an energy warning citing a projected 19 gigawatt U.S. power gap by 2028 and data centers accounting for nearly half of U.S. electricity demand through 2031.
• May 29, 2026

  Data Center Hardware Highlights: June 2026

  Blackstone and Google have launched a $5B TPU infrastructure venture.

  • $5B TPU venture: Blackstone and Google announced a $5 billion partnership to build TPU-focused AI infrastructure, signaling a move toward vertically integrated AI compute financed by private capital. The announcement is the central deal highlighted in May’s coverage.
  • Broader May highlights: Data Center Knowledge reports shifts across the stack in May: AI server vendors moving from silicon to services; Nvidia expanding spending beyond GPUs (including networking, cooling, power) and engaging with Iris Energy’s 5 GW pipeline; AMD posted 57% data center growth tied to accelerators; GPU rental pricing shows early compression; battery storage gains traction as diesel alternatives; and geopolitical risk (notably Iran) threatens PCB supply chains.
• May 13, 2026

  AI Server Market Update: Vendors Shift from Silicon to Services

  Data Center Knowledge reports that server vendors are shifting toward software, professional services, and AIOps to win enterprise AI customers.

  • Main announcement: Vendors including Dell, HPE, Lenovo, and Supermicro are emphasizing software management, professional services, AIOps, and liquid-cooling/packaged rack solutions to capture enterprise AI demand; IDC projects AI infrastructure spending to reach $487 billion in 2026 and surpass $1 trillion by 2029, while suppliers report large backlogs (e.g., Dell $43 billion AI backlog, HPE $5 billion AI systems backlog, Lenovo $15.5 billion AI server pipeline).
  • Background & details: The article is an industry analysis citing interviews and earnings: IDC reported the global server market at $444 billion (2025); vendors report specific results such as Dell $9 billion AI-optimized server revenue (Q4 FY2027) and Supermicro $10.2 billion sales (FYQ3 FY2026); it highlights enterprise skill gaps, GPU/memory supply constraints, and differentiation via integration, delivery speed, power & cooling, and services.
• May 1, 2026

  What Next Gen Chips Might Mean for Data Centers

  Data Center Knowledge presents analysis of semiconductor innovations for data centers.

  • Main finding: The article argues that semiconductor-level innovation (AI-optimized chips, energy-optimized and heat-tolerant designs, advanced packaging such as chiplets and 2D/3D, and offload silicon like DPUs/IPUs/SmartNICs) could reshape how data centers are built, powered, cooled, and secured; current adoption is constrained by x86 inertia and software compatibility challenges.
  • Background/details: The piece surveys existing technologies (GPUs, ASICs, FPGAs, ARM-based servers), highlights materials research (graphene, carbon nanotubes) as early-stage, and notes concrete operational benefits including reduced power draw and lower cooling/water use, but it does not announce specific commercial deployments or timelines.
• Apr 9, 2026

  Hyperscalers will own two-thirds of data center capacity by 2031

  Synergy Research Group reported that hyperscalers will account for 67% of all data center capacity by 2031.

  • Main announcement: Synergy Research Group says hyperscalers (Google, Microsoft, AWS) will reach 67% of global data center capacity by 2031, with enterprise on-prem data centers dropping from 56% in 2018 to 19% by 2031; the report also notes almost 60% of hyperscale capacity is in own-built facilities and non-hyperscale colocation accounts for ~20%.
  • Background & details: The article cites planned > $500 billion in capex by Google/Microsoft/AWS for AI infrastructure in fiscal year 2026, cites hyperscalers operating ~1,297 large data centers in Q3 2025 (1,360 by end-2025), references commitments such as the Ratepayer Protection Pledge (Google, Oracle, xAI, Meta, Microsoft, OpenAI, Amazon) and highlights electricity demand concerns (EIA: price hikes up to 79% in areas like Texas by 2027); it references expanded compute partnerships (Anthropic–Google/Broadcom; OpenAI–AMD) with multi-gigawatt capacity starting 2027.
• Apr 7, 2026 · IT Brief Asia

  Nutanix adds AI & cloud tools amid infrastructure push

  Nutanix has announced additions to the Nutanix Cloud Platform including new AI, Kubernetes on bare-metal, expanded storage and cloud management capabilities.

  • Main announcement: Nutanix introduced Agentic AI (early access) and NKP Metal (early access), made Unified Storage 5.3 and Data Lens 2.0generally available, and released Nutanix Cloud Manager 2.0 GA; it also launched a Foundation Central appliance to simplify AHV deployment on servers from Cisco, Dell, Fujitsu, HPE and Lenovo and expanded synchronous DR support for Dell PowerFlex and integration for Everpure //c FlashArray. These features target AI workloads, bare-metal Kubernetes, air-gapped on-prem deployments, and multisite/multidomain cluster management.

  • Background and details: The updates address server and storage supply constraints and aim to broaden deployment options (on-premise, edge, public cloud) including AWS GovCloud support; other planned ecosystem support includes AMD GPU-accelerated servers, Dell PowerStore, NetApp ONTAP, Lenovo ThinkSystem, additional Cisco integrations, zero-copy migrations from VMware vSphere Virtual Volumes to AHV vDisks, and a certified integration between Nutanix Database Service and MongoDB Ops Manager.

• Apr 3, 2026

  ‘Inference Is Bigger Than Any One Chip’ – d-Matrix CEO on GigaIO Deal

  d-Matrix has announced the acquisition of GigaIO’s data center business to internalize interconnect technology and accelerate delivery of rack-scale AI inference infrastructure.

  • Business action: d-Matrix completed a business unit acquisition of GigaIO’s data center assets (ownership of the unit’s related assets transfers to d-Matrix); financial terms were not disclosed; the deal builds on a collaboration that began in 2025 and integrates GigaIO’s SuperNode and FabreX PCIe fabric into d-Matrix’s inference stack (which also includes Corsair inference accelerators, JetStream networking, Aviator software, and the SquadRack reference architecture developed with Broadcom and Arista).
  • Background & implementation details: GigaIO will continue operating independently and refocus on edge computing; a team of systems engineers based in Carlsbad, California joins d-Matrix, establishing a new Southern California engineering presence; d-Matrix now operates six innovation hubs across North America, Europe, and Asia; target customers include hyperscalers, frontier AI labs, and enterprise deployments.
• Apr 2, 2026

  The Genesis Mission: How AI Supercomputing Is About to Reshape American Science and Energy

  The U.S. Department of Energy (DOE) has launched the Genesis Mission, chartered to double U.S. R&D productivity within a decade by deploying a platform combining high-performance computing, AI supercomputing, and quantum computing.

  • Main action: The DOE’s Genesis Mission is standing up national AI supercomputing infrastructure through the Genesis Consortium with 27 industrial partners, including Nvidia, Oracle, AMD, and HPE; Argonne will host a system with ~10,000 GPUs (operational this year), Oak Ridge will host a comparably sized cluster targeting 2026, and a 100,000-GPU cluster is planned for Argonne in 2027. The program pairs this compute platform with a portfolio of national challenges (energy, physical sciences, national security) and a university engagement effort to train future scientists in AI-enabled methods.
  • Background and concrete details: The initiative was launched by President Trump and chartered through the DOE; examples cited include fusion surrogate models that run thousands to tens of thousands times faster than traditional simulations, Grid FM from Brookhaven that could cut a ~20-year grid-simulation workload to two months, and DOE Office of Electricity efforts to reduce interconnection delays by addressing the 80–90% deficiency rate in interconnection applications. Named private partners and startups involved include Periodic Labs, Radical AI, and the Prometheus Project.