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NVIDIA
Data center news, project activity, and monthly briefings for NVIDIA.
NVIDIA · Construction & power moves · 2
full tracker →Where NVIDIA is securing land and power — each traced to primary filings.
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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Datum Deploys Its Open Network Cloud at DataBank to Connect Distributed AI Infrastructure
DataBank has announced that Datum has added network points of presence inside three DataBank facilities in Ashburn, Dallas, and Salt Lake City.
- The deployment places Datum’s open network cloud in interconnection-dense markets serving AI companies, hyperscalers, and enterprises.
- DataBank said the three markets were chosen because Ashburn is the largest interconnection hub in North America, Dallas is a growing central-U.S. exchange point, and Salt Lake City is close to US-West neocloud and public cloud regions.
- The announcement says the companies’ leadership relationship spans nearly 20 years; it also identifies Kevin Ooley as DataBank President and CFO and incoming CEO effective January 1, 2027.
- Datum says its infrastructure is accelerated by NVIDIA BlueField DPUs and is available in public cloud, dedicated cloud, BYOC, or open-source AGPLv3 models.
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Securing the Infrastructure of Intelligence
NVIDIA has announced a partnership with SB Energy to secure LPS capacity at the PORTS-Pike Technology Campus in Portsmouth, Ohio, for an AI factory that OpenAI will occupy as tenant.
- The initial deployment is expected to deliver 4.25 gigawatts of AI factory capacity, with NVIDIA’s support covering approximately 4 gigawatts over a 20-year term and becoming effective in phases as data centers are placed in service between 2028 and 2030.
- NVIDIA said the site could support multiple upgrade cycles over 20 years; each generation could represent about 1.5 million GPUs and $150 billion to $200 billion in NVIDIA revenue, while broader OpenAI commitments through 2030 were said to represent about 12 gigawatts of NVIDIA compute, expandable to 16 gigawatts if the remaining capacity is extended.
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NVIDIA AI Factory Compute Is Becoming an Investable Asset Class
NVIDIA has announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to establish independent AI compute infrastructure financing platforms.
- The platforms are designed to mobilize over $500 billion of third-party capital over time to support the buildout of AI infrastructure and to provide financing for qualified AI labs, enterprises, and AI clouds.
- NVIDIA says the structures are meant to be independent and project-by-project, with institutions assessing customer demand, utilization, cash flow, and residual value; NVIDIA may in some cases provide residual-value support up to 25% of an opportunity.
- The post also frames AI factories as an infrastructure asset and cites pricing examples for NVIDIA compute, including H100 rental pricing and B200 cloud rates; it references NVIDIA products and platforms such as CUDA, A100, and Blackwell.
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Supercomputing 2026
AMAX has announced that it will exhibit at Supercomputing 2026 (SC26) in Chicago and highlight its AI infrastructure and professional services offerings.
- The event is scheduled for November 15–20, 2026 at McCormick Place, Chicago, IL, with AMAX at Booth #4532.
- AMAX is promoting multiple solution briefs, including AI Factory Infrastructure at Any Scale, HostMax™, AMAX Professional Services, AMAX OEM Hardware Solutions, and AI Factory solutions with NVIDIA HGX™ B300 and NVIDIA RTX PRO™ 6000.
- This is an event announcement and product marketing page, not a report of a new commercial deal or investment.
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NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AI
NVIDIA has announced Nemotron 3.5 Lightning and NeMo Switchyard to improve open-model agentic AI performance and routing.
- Nemotron 3.5 Lightning is a 30-billion-parameter mixture-of-experts model for high-volume, specialized agentic tasks; NVIDIA says it delivers up to 4x faster output speed and 30% faster agentic task completion versus comparable models.
- NeMo Switchyard is an open source routing library for AI agents that automatically sends prompts to the most suitable model; NVIDIA says internal benchmarks show it can reduce task completion cost to nearly one-third of Opus 4.8 alone.
- The release says Lightning is available via Hugging Face, ModelScope, OpenRouter, build.nvidia.com and NVIDIA NIM, while Switchyard is available on GitHub; NVIDIA also highlights ecosystem partners including CrowdStrike, Harvey, CodeRabbit, Lila Sciences, Fastino Labs, Boomi, Cadence, Classmethod, Cognition, Kong, LangChain, LiteLLM, Nous Research, Ramp and Siemens.
Recent news
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Nvidia Backs OpenAI’s Ohio Data Center Buildout With $105B Guarantee
Nvidia has disclosed conditional residual-value guarantees of up to $105 billion for OpenAI’s planned Ohio data center campus, while also saying it is investing $1.5 billion in SB Energy.
- The guarantees cover an initial 4.25 GW of IT capacity at SB Energy’s PORTS-Pike Technology Campus in Pike County, Ohio, with an option to support another 3.75 GW for about 8 GW total.
- The structure is tied to leased infrastructure under a 20-year lease with OpenAI; Nvidia said OpenAI will reimburse and indemnify it for amounts actually paid, and the actual guarantee agreements are still to be filed in a future quarterly report.
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Cerebras reimagines AI cluster design with switchless CS-4 architecture
Cerebras Systems has announced the CS-4, a new rack-scale AI system built on its Nexus architecture with switchless Direct Wafer Links and RoCE v2 support.
- The CS-4 is described as the first system based on Cerebras’ new Nexus rack-scale architecture, with Direct Wafer Links that can cut wafer-to-wafer latency to two microseconds and deliver up to 7.2 Tbps of system I/O bandwidth.
- Cerebras said the CS-4 can run up to 2x faster than the CS-3, up to 30x the per-user inference speed of GPU-based systems in a GPT-OSS-120B test, and up to 10x more throughput per watt than the CS-3; the article also notes the system supports RoCE v2 over Ethernet for integration with existing data-center networks.
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Reports: Google partnering with AMD for next-gen hybrid TPU
Google is reportedly working with AMD on the design of a next-generation TPU for AI and conventional computing workloads.
- The reported hybrid accelerator could integrate CPU cores directly into the TPU package, with a focus on reinforcement learning and agentic AI workloads.
- The article says Google already uses TPUs alongside standard x86 CPUs in servers, while AMD recently announced a partnership with Cerebras to combine processors for AI inference.
- This is a report about a rumored/industry-reported design effort, not a first-party Google or AMD announcement.
- Analyst Jon Peddie said the idea “makes good sense” because AMD has experience with custom APUs and Google “needs diversity.”
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Data Center Hardware Highlights: August 2026
Data Center Knowledge has highlighted a shift in AI hardware coverage from GPUs toward infrastructure-first constraints across energy, minerals, grid access, and networking.
- The roundup says AI buildouts are increasingly limited by power, copper, grid interconnects, transformers, turbines, and permitting, while rack-scale integration and the network supercycle are becoming more important.
- The article also references several reported developments, including Nvidia’s $500B infrastructure bet, TSMC’s $265B Arizona campus expansion, and AMD’s Helios rack-scale AI system; it is commentary and synthesis rather than a single first-time corporate announcement.
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Home-Based GPU Networks: Viable Supplements to AI Data Centers?
The article analyzes whether home-based distributed AI compute could supplement data centers, rather than announcing a new project or deal.
- It says Nanocenter.ai launched in June 2026 and says participating homeowners can earn up to $2,000 a month; its garage-mounted unit uses Nvidia RTX 6000-class GPUs and may require a 220-volt branch circuit for sustained operation.
- It also references SPAN’s XFRA and Sunrun residential AI compute pilot projects, but the piece is primarily an assessment of technical feasibility, security, orchestration, and power/network constraints.
- The article cites public opposition data from Gallup, Reuters/Ipsos, University of Pennsylvania, and Pew Research to explain siting pressure on large AI data centers.
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Nvidia may invest up to $3 billion in SoftBank's SB Energy for OpenAI data center: Report
Nvidia is reportedly in talks to invest as much as $3 billion in SB Energy and to provide credit support for an Ohio data center campus linked to OpenAI.
- The report says Nvidia, OpenAI, and SB Energy are discussing around $100 billion in credit support for the planned Ohio data center campus.
- Nvidia has discussed investing half of $3 billion after the deal is signed, with the other half tied to SB Energy’s planned IPO; SB Energy is said to target September and at least $5 billion in proceeds.
- The story is based on reporting from The Information; it also cites The Wall Street Journal saying Nvidia had scaled back its Ohio guarantee to under $120 billion from $250 billion.
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Nvidia’s $500B AI Infrastructure Bet Raises Power Stakes
Nvidia has announced financing platforms with six major financial firms to mobilize more than $500 billion of third-party capital for AI infrastructure over time.
- The platforms are being established with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR as memorandums of understanding, with definitive agreements still required.
- The story says Nvidia’s residual-value support is capped at 25% of an individual opportunity and that the $500 billion figure is a financing target, not committed Nvidia spending; the article also references Nvidia’s IREN plans to support up to 5 GW of Nvidia DSX-aligned AI infrastructure.
This article is primarily commentary and analysis around Nvidia’s financing strategy for AI infrastructure, with quotes from Stephen Sopko of HyperFrame Research and Jack E. Gold of J.Gold Associates questioning bottlenecks, demand, and circular financing risks.
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Google, Microsoft and Nvidia back 800V DC standard for AI data centers
Google, Microsoft and Nvidia are working through the Open Compute Project to establish 800VDC as an open standard for high-density AI data centers.
- The companies are collaborating on common requirements for 800VDC power distribution, including power conversion, power quality, system interfaces, and safety.
- The article says the effort began being presented through OCP in 2025 and has moved toward formal specifications for the data-center supply chain.
- It cites potential efficiency benefits of 50% to 80% lower copper usage, 8% to 12% annual energy-related OpEx reduction, and $4 million to $8 million CapEx savings per 10 MW build.
- It also notes AWS has not committed to 800VDC and is reportedly redesigning AI data centers through its internal Titus initiative for GB200-class systems and future Vera Rubin hardware.
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Inside L&T Vyoma’s Plan To Build India’s AI Infrastructure Giant
Larsen & Toubro has announced a consolidation of its data centre, cloud and AI infrastructure businesses under newly incorporated subsidiary Vyoma.AI, including a transfer of the business for ₹1,400 Cr. The company is also expanding its AI infrastructure footprint through a 10,000-GPU deployment in Chennai and plans for a potential 100 MW campus in Mahape.
- Transferred its data centre and cloud services business to Vyoma for ₹1,400 Cr; Vyoma is being positioned as a full-stack digital infrastructure business spanning colocation, cloud and AI factories.
- Vyoma’s AI infrastructure unit LTN Compute has secured an order from Together AI for an AI factory at L&T’s Chennai data centre, with 10,000 NVIDIA B300 GPUs planned and a November go-live target; L&T is also evaluating a 100 MW campus in Mahape, Maharashtra and has earmarked ₹10,000-12,000 Cr of capex for the current setup and expansion.
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Nvidia’s half-trillion-dollar AI investment fund could impact enterprise chip pricing, availability
Nvidia and six financial partners have announced memorandums of understanding to create AI compute financing platforms mobilizing more than $500 billion of third-party capital.
- The partners are Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR; the platforms aim to support AI infrastructure across Nvidia’s ecosystem, including frontier AI labs, enterprises, and AI clouds.
- The statement says the initiative is intended to create dedicated pools of capital at attractive rates for Nvidia customers, but Brookfield said the figure was totaled up by Nvidia and the partnerships are individual arrangements, not a single pooled fund.
- Analysts quoted in the article said the move could increase AI infrastructure costs and worsen chip shortages in the near term, though some suggested it could eventually add capacity; several expect benefits to arrive later, around 2028 rather than the next 12-18 months.
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Letlow’s purchase of Meta stock after signing an NDA raises ethics concerns
U.S. Rep. Julia Letlow signed a nondisclosure agreement with Laidley LLC on June 29, 2024, concerning Meta’s planned $50 billion data center in Richland Parish, Louisiana.
- The NDA covered confidential information about the project and restricted disclosure of the discussions; the agreement was signed on June 29, 2024.
- Within months, Letlow bought shares of Meta and Nvidia and later made additional transactions that were allegedly not disclosed within the 45-day STOCK Act reporting window; her spokesperson says she did not direct or know about the trades and that the NDA did not influence them.
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$5.3 Trillion Nvidia Announced $500 Billion Financing Platforms for Artificial Intelligence (AI) Infrastructure in Strategic Partnerships with Leading Banks, Asset Managers & Private Equity Firms (Goldman Sachs, BlackRock, Apollo, Blackstone, Brookfield & KKR), Will Raise $500 Billion 3rd-Party Capital for AI Infrastructure
Nvidia has announced strategic partnerships to establish independent compute financing platforms for AI infrastructure with six financial institutions. - The platforms are intended to mobilize over $500 billion of third-party capital over time for the buildout of AI infrastructure across Nvidia’s ecosystem.
- The partners named are Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR; the announcement says MOUs were signed and that the platforms will support frontier AI labs, enterprises, and AI clouds.
- The article is a news summary of Nvidia’s announcement, dated 10/8/26 in the quoted release and published by Caproasia on 11th August 2026 in Hong Kong.
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IT infrastructure shortages are real and lasting. Here’s how to cope
Network World has published an analysis of IT infrastructure shortages affecting enterprise AI, networking, storage, and compute planning.
- The article cites analysts and vendors saying memory shortages are driving lead-time extensions to 6, 12, or 18 months, with memory prices up 50% to 200%, PC prices up 35% to 45%, and some server prices up over 125%.
- It also reports enterprise network equipment pricing is projected to rise over 20% in 2026 and by a further 3% to 5% into 2027, with no price reduction expected until end-2027; examples and advice are drawn from Gartner, TD SYNNEX, WWT, Backblaze, Cisco, and Equinix.
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Oil prices rise, Asia stocks drift amid US-Iran stalemate
The article is a market commentary piece reporting on rising oil prices and broader financial-market moves, rather than a first-time corporate announcement.
- Brent crude rose to $88.00 per barrel and U.S. crude to $82.45, the highest since July 31, after negotiations between the U.S. and Iran over a peace deal and reopening of the Strait of Hormuz stalled.
- The piece also notes Nvidia said it partnered with six major financial institutions to launch compute financing platforms aimed at raising over $500 billion in third-party capital for AI infrastructure; it additionally references the upcoming U.S. July consumer price report and the Reserve Bank of Australia policy decision.