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NVIDIA
Data center news, project activity, and monthly briefings for NVIDIA.
NVIDIA · Construction & power moves · 2
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Editor's picks
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Investor Tour 2026
BANA Angels and Darpass have announced Investor Tour 2026, a three-day investor networking and startup tour in Yerevan focused on Armenia’s innovation ecosystem.
- The event runs November 19–21, 2026 in Yerevan and includes visits to Picsart, Krisp, NVIDIA Armenia, Adobe Armenia, and TUMO, plus investor networking, startup pitches, and DigiTec 2026.
- The listing says the tour will explore Armenia’s innovation scene and highlights AI infrastructure powered by NVIDIA; organizer listed as BANA Angels with a link to bana.am.
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World Bank Group Launches First Digital Strategy to Expand Access and Create Jobs
The World Bank Group has launched its first digital strategy and announced the AI Infrastructure and Readiness Initiative to help developing countries expand digital access and use AI more effectively.
- The strategy focuses on four priorities: expanding connectivity; making devices and data more affordable; strengthening digital services and skills; and building the foundations to benefit from artificial intelligence.
- The new AI initiative will help governments in emerging markets access affordable compute capacity through shared, pay-as-you-go GPU infrastructure, with an initial focus on Africa and Latin America and knowledge partners Cassava Technologies and NVIDIA.
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llm-d 1.0 Advances Open, Cost-Efficient AI Inference for Production Scale
llm-d contributors announced the release of llm-d 1.0, a major milestone for the open source distributed inference project now governed by the CNCF.
- The release adds multi-tenant QoS, zero-downtime operations, a stable v1 configuration API, and agent-aware serving for production AI workloads.
- The announcement also cites ecosystem adoption and benchmarks, including IBM Research’s 11.5x lower inference cost use case and a separate demo showing 3,000 concurrent coding agents and 6.6 million output tokens per minute at peak.
- The article includes supporting quotes from leaders at CNCF, Red Hat, IBM, Google Cloud, CoreWeave, NVIDIA, AMD, Cohere, DigitalOcean, JetBrains, Mistral, and Roblox.
- This is a first-time product release announcement, not a retrospective report; it references prior use cases and integrations rather than announcing a priced commercial deal.
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Spain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center
Barcelona Supercomputing Center has announced that its AI Factory Accelerator Programme is now fully operational and that some BSC AI Factory services are being made available through the NVIDIA Inception portal.
- The programme gives startups access to sovereign compute, technical support, and training; NVIDIA Inception adds NVIDIA Deep Learning Institute open courses, business mentoring, venture capital connections, and other resources.
- BSC said an upcoming extension of MareNostrum 5 will provide supercomputing access through the BSC AI Factory and other AI Factories across Europe; BSC AI Factory is described as one of Europe’s first AI factories, the first in Spain, and as having delivered more than 800 services since its April 2025 launch.
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The Complete Guide to AI Servers for UK Startups
AMAX Engineering has published a guide for UK startups on selecting and deploying AI servers and GPU infrastructure.
- The blog explains when startups should move from cloud GPUs to dedicated servers, compares hardware options such as NVIDIA RTX PRO, HGX B300, Rubin NVL8, and Vera Rubin NVL72, and outlines a 5-step deployment roadmap for production AI infrastructure.
- It also discusses data governance under UK GDPR and the Data Protection Act 2018, and says AMAX supports UK AI startups with workload profiling, custom cluster design, liquid-cooling integration, and validation through its EMEA operations in Ireland.
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Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models
NVIDIA has announced Nemotron 3.5 Super VL and two new Nemotron 3.5 Bolt models for open agent deployments across data center, desktop, and edge hardware.
- Super VL is an open 120-billion-parameter model for specialized always-on agents; Bolt 74B-A9B 24GB is available now, while Bolt E4B 4GB arrives on Oct. 23.
- NVIDIA says Super VL is built with the Nemotron Coalition, ships with open weights, open datasets and training recipes, and runs across DGX Spark, DGX Station, RTX PRO, RTX systems, and Jetson; the model is also available via Hugging Face, Open Router, ModelScope, and NVIDIA NIM.
- The post says organizations including Scale AI, AfterQuery, AI21, Mercor, Atlassian, CrowdStrike, Dassault Systèmes, Perplexity, Salesforce, Synopsys, Ramp, Dream, Lila Sciences, R1 and others are already customizing or integrating the models for specialized workflows.
Recent news
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Another Data Center IPO Fizzles as Investor Appetite Wanes
Elice has completed its IPO and reported a weak first-day trading performance, while the article also cites broader investor caution across AI/data-center listings.
- Elice raised 201 billion Korean won (US$150 million) in its debut and fell 32% on its first day of trading before closing slightly higher.
- The company said IPO proceeds will fund data centers in South Korea and possible expansion to the US, Japan, and Singapore; the article also references other delayed or withdrawn listings including Firmus ($5 billion IPO), PLDT’s data center REIT IPO, and AirTrunk’s $1.5 billion Singapore REIT.
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Mercedes-Benz and Nvidia extend strategic technology partnership
Mercedes-Benz has announced an expansion of its technology partnership with Nvidia to jointly develop next-generation advanced driver-assistance and autonomous driving systems for vehicles using MB.OS.
- Mercedes-Benz vehicles will use Nvidia Hyperion in-vehicle compute platform and sensor architecture, plus the Alpamayo full-stack software platform with AI reasoning capabilities to support SAE Level 4 automated driving.
- Mercedes-Benz also said it is using Nvidia Halos safety system and Nvidia engineering simulation tools in its Mercedes-Benz Cars Operations 360 (MO360) data platform to support digital twins, manufacturing planning, and production efficiency across its global network.
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Nvidia CEO Urges German Manufacturers to Adopt AI
Nvidia CEO Jensen Huang urged German manufacturers to adopt AI during a discussion with Chancellor Friedrich Merz at an investment conference in Berlin.
- Huang said Germany should use its manufacturing data and expertise to “re-engineer” its business model, and described AI as the next wave of physical AI for robotics, manufacturing, cars, and heavy industry.
- The article frames the remarks as commentary on Germany’s economic challenges, including high energy prices, competition from China, red tape, and Europe’s lag in building data centers and protecting sensitive data from U.S. legal exposure.
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Nscale Loses Microsoft Deal as Power Delays Threaten AI
Microsoft has terminated its contract for Nscale’s planned AI data center in Loughton, England, after delays to the site’s expected power connection.
- Nscale announced the Loughton project in 2025 as a 50 MW campus that could scale to 90 MW, with plans to deploy 23,040 Nvidia GB300 GPUs for Microsoft Azure; a company spokesperson confirmed Microsoft ended the contract.
- UK Power Networks reportedly told Nscale it could not supply enough electricity until the early to mid-2030s, well after the planned opening; Nscale said it remains committed to the site and is exploring alternative power sources, while the article notes no disclosed financial consequences tied to the termination.
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OPC Global Summit: News spans AI-optimized hardware, cooling equipment
The article summarizes announcements made at the OCP Global Summit in San Jose, California, by multiple companies on AI data center hardware and infrastructure. It is a news roundup/commentary piece, not a standalone primary announcement.
- Nvidia submitted Vera Rubin rack and compute tray designs to the Open Compute Project via its MGX architecture, aiming to give suppliers a shared design foundation for AI systems; the designs are liquid cooled with no fans or cabling.
- Arm published a white paper on evaluating CPU performance in agentic AI systems, Kioxia unveiled LD4 Series SSDs for hyperscale and high-density servers and said they are sampling to select customers, Cooler Master highlighted a 2,500 kW liquid-to-liquid CDU with mass production targeted for Q4 2026, and Flex expanded its modular data center portfolio with 800 VDC power racks and liquid cooling, with its cloud and power infrastructure business planned to spin off as Axiom Solutions International in Q1 2027.
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NetBox Labs adds network design templates and AI agents to streamline infrastructure operations
NetBox Labs has announced new capabilities for its Infrastructure Intelligence Platform at NetBox Evolve, the company’s first conference, and also announced partnerships with Nvidia and Grafana Labs.
- NetBox Designs, NetBox Analytics, NetBox Agents, and a fully managed NetBox Platform MCP Server were introduced as new capabilities for the platform.
- The conference was held at Kennedy Space Center, Florida; Nvidia now integrates with NetBox as a native source of truth for Nvidia Configuration Manager in Nvidia DSX OS, and Grafana Labs released an official NetBox plugin in the Grafana catalog.
- NetBox Labs said it is the commercial steward of NetBox, used by more than 10,000 organizations, and noted the company was spun out of NS1 after IBM acquired NS1 in 2023.
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Cisco, Nvidia push ultra-dense networking for Ethernet AI fabrics
Cisco and Nvidia have announced a new Ultra-Dense Small Form Factor Pluggable (USFP) optical module and a related open industry specification effort for AI fabrics.
- The USFP module was introduced at the Open Compute Project (OCP) Global Summit 2026 and is designed to support 400 Gb/s-per-lane electrical signals, scaling to 12.8T capacity and improving bandwidth density for Ethernet AI fabrics.
- Cisco said the technology preserves field serviceability and familiar deployment practices; Cisco and Nvidia also plan to create an open industry specification through a community-led multi-source project. Cisco separately announced the Silicon One G302 top-of-rack switching chip, with 102.4T capacity, direct-to-chip liquid cooling integration, and shipping planned before the end of 2026.
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Microsoft Pushes Custom AI Chips with Azure Maia 300
Microsoft has announced Maia 300 and said Maia 200 is now in production, while also outlining plans to scale the Azure Maia family to multi-gigawatt deployments in 2027.
- Maia 300 is Microsoft’s third-generation in-house AI accelerator; it is planned for production in 2027 and is designed for inference-first workloads including long-context and memory-intensive AI tasks.
- Maia 200 is already deployed across Microsoft data centers in the US, Europe, and Australia, powers Copilot and other cloud services, and is expected to extend to GitHub Copilot and Microsoft Foundry by the end of the year; Microsoft says it delivers up to 1.7x more tokens per watt than leading GPU infrastructure and Maia 300 could deliver 40% more tokens per megawatt and up to 7x rack-scale throughput versus Maia 200.
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AMD unveils Helion as agentic AI fuels demand for data center CPUs
AMD has announced Helion, an open blueprint for AI data center racks designed to give CPUs a larger role in AI agent workloads and to let customers configure GPU resources around inference needs.
- The architecture is based on Open Compute Project (OCP) specifications and supports CPU-only racks with sixth-generation EPYC processors and up to 32,768 cores, as well as enterprise racks with up to 16 Instinct MI350P GPUs.
- AMD cited up to 102 Tbps networking bandwidth as a planned rack capability, said Helion supports air and liquid cooling, and plans to contribute the specification to OCP; partner-developed rack configurations are expected in November 2026.
- Infrastructure vendor support statements were published from Cisco, Dell Technologies, HPE, and Lenovo; analysts said the design could improve CPU/GPU scaling and challenge Nvidia, but noted software maturity, ROCm compatibility, network latency, and total cost of ownership remain key hurdles.
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Trump Honors Microsoft’s CEO After Vance Drops an H-1B Visa Hammer on the Company
The White House honored major technology leaders while Vice President JD Vance separately criticized Microsoft over H-1B visa use and said the company was being suspended from a program for skilled foreign workers.
- JD Vance said Microsoft had abused the visa system, citing 6,000 U.S. worker layoffs last year alongside 6,300 H-1B visas and almost 3,000 green cards; Microsoft said most H-1B applications were to extend or change status for existing employees.
- President Donald Trump awarded the National Medal of Technology and Innovation to Satya Nadella and gave National Medal of Science awards to Elon Musk, Sergey Brin, Jensen Huang, and Lisa Su; he also praised AI and data center investment as helping the U.S. economy.
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How AI’s productivity boom could rewrite the rules of work
Amazon founder Jeff Bezos said AI productivity could reshape work patterns and hiring, while also noting investor risks from the rush into AI ventures.
- Bezos said AI could enable a three-day workweek or single-income households as workers may need fewer hours and some may exit the workforce if they no longer need a second income.
- The article also notes Amazon plans to spend more than $200 billion on capital expenditures in 2026, largely for data centers, and that it has cut about 30,000 corporate positions since late 2025; Blue Origin is pursuing data centers in space.
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Speed Bumps Slow Asia-Pacific’s Data Center Gold Rush
This article reports on a series of setbacks in Asia-Pacific data center expansion, led by the collapse of Firmus’ planned AU$7.1 billion IPO and the delay of PLDT’s data center REIT listing until 2027.
- Firmus withdrew its ASX listing application and said it would pursue up to $3 billion in private fund-raising after its planned AU$7.1 billion (US$4.97 billion) IPO struggled to attract investors at around AU$11 per share.
- The article also notes related sector pressure: CDC Data Centers had already dumped Firmus from a joint AI infrastructure project; PLDT pushed its Vitro REIT IPO to 2027; and regulators in Indonesia, Thailand, and Malaysia are tightening scrutiny over 640MW of halted capacity, 166 data center projects, and rising power demand.
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Oracle reportedly lands $7B GPU deal for Tencent
Oracle and Tencent are reported to have signed a five-year AI cloud computing agreement. - Oracle would provide Tencent access to roughly 100,000 advanced AI accelerators in Oracle data centers across Southeast Asia; the reported contract value is $7 billion and Tencent would pay about 30% upfront. - The report says neither company has publicly confirmed the deal or named the processors, while U.S. export-control concerns are highlighted because remote access to chips in third countries may create a policy loophole.
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EXCLUSIVE: Ecosia founder clarifies move away from Mistral – It’s about open models, not China
Ecosia has said it is shifting from Mistral to more affordable, energy-efficient open AI models, with founder and CEO Christian Kroll clarifying that the move is about open models and European infrastructure rather than Chinese technology.
- Ecosia expects to use Melious.ai in future; Kroll said the German platform offers high-quality, affordable AI inference powered by green electricity and that Ecosia can switch models for sensitive topics such as Taiwan.
- The article also references Mistral AI’s recent financing: €3 billion Series D in September 2026, €722 million debt financing in March for a first large-scale data centre near Paris, and a €1.7 billion Series C in September 2025; Ecosia itself has largely grown without external financing and adopted steward-ownership in 2018.