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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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Scaling AI Factories with NVIDIA Networking
AMAX is promoting its AI factory integration services using NVIDIA networking technologies. - It says organizations should design and deploy scalable AI factories with NVIDIA Quantum InfiniBand and NVIDIA Spectrum-X Ethernet, covering fabric selection, topology design, compute and storage integration, validation, and ongoing production operations.
- The page highlights workload-driven network design considerations such as GPU count, latency, bandwidth, storage throughput, redundancy, and rack power/cooling capacity, and lists supported platforms including RackScale 32 with NVIDIA HGX B300, RTX PRO Blackwell Server Edition, RackScale 72 with NVIDIA GB300 NVL72, and NVIDIA GB200 NVL72.
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NVIDIA Vera Rubin Maximizes Intelligence per Dollar for Post-Training Workloads — a Key Metric for Agentic AI
NVIDIA has published a blog post explaining agentic AI post-training and how its hardware and software stack are positioned to maximize intelligence per dollar.
- The post says agentic post-training is a continuous loop that uses reinforcement learning, rollouts, rewards and weight updates to keep improving models as environments and tools change.
- It highlights NVIDIA Nemotron 3 Ultra as a 550-billion-parameter MoE model that scored 71.7% on SWE-bench verified, and cites workloads at Prime Intellect, Perplexity and Together AI running on NVIDIA systems.
- The article also says NVIDIA Blackwell lowers cost per run, while Vera Rubin is designed to train the largest models with one-fourth the GPUs of the Blackwell generation.
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MHI Advances AI Infrastructure Commercialization with U.S. Deployment of 10MW-Class Chiller and MCP Development-- Supporting AI Infrastructure Through Modular Cooling and NVIDIA Ecosystem Collaboration --
Mitsubishi Heavy Industries, Ltd. has announced the U.S. shipment of its 10MW-class centrifugal chiller test unit and progress on its Modular Chiller Plant (MCP) for AI infrastructure.
- MHI says it has shipped a 10MW-class centrifugal chiller test unit to the United States, with arrival scheduled at the Port of Brunswick, Georgia around July.
- The company says the Modular Chiller Plant (MCP) combines the chiller with pumps, heat exchangers, and controls, is aligned with NVIDIA DSX™ cooling architectures, and is undergoing U.S. safety and regulatory certification, including UL certification.
- MHI also said it participates in the NVIDIA Partner Network as a Power & Cooling Partner and is collaborating with NVIDIA and ecosystem partners on integrated power and cooling technologies, including 800VDC power initiatives.
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AMAX Infrastructure for Production AI with Dell Solutions
AMAX Engineering has announced its Dell-based infrastructure offering for production AI deployments.
- AMAX says it builds and delivers AI infrastructure for production use, from single systems to rack-scale deployments, using platforms from Dell Technologies and NVIDIA.
- The offering includes on-site data centre surveys, system builds and validation, rack-level integration, bring-up/commissioning, post-deployment support, and liquid cooling options for direct-to-chip and CDU-based deployments.
- The page lists Dell PowerEdge systems such as XE9712 (GB300 NVL72), XE9780, XE9785L, XE9780L, XE8712 (GB200 NVL4), XE7740, XE7745, XE9680L, and XE9685L for AI training, inference, and HPC.
- The content appears to be a product/solution marketing page rather than a news report or transcript, and it does not state a new priced contract or investment.
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Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency
NVIDIA has published a blog post arguing that power efficiency is the defining constraint for AI factories and highlighting the rack-scale performance of its Blackwell and Vera Rubin platforms.
- The post says NVIDIA GB300 NVL72 delivers up to 25x performance per watt versus Hopper on leading open models, with additional examples of up to 20x on GLM5.1 and 10x on Kimi K2.6.
- It also says NVIDIA DSX MaxLPS can help operators run up to 40% more GPUs within the same power budget, and cites production use by Anthropic, OpenAI, CoreWeave, Perplexity, and Fireworks AI.
- This is a commentary-style NVIDIA blog, not a standalone product launch announcement, though it references existing deployments and platform capabilities.
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AI Factory Solutions powered by Intel® Xeon® 6 Processors
AMAX has announced AI Factory Solutions powered by Intel Xeon 6 processors and NVIDIA HGX B300. This appears to be a product/solution announcement rather than a report on a completed deal.
- AMAX says it designs, builds, and deploys rack-scale AI factories powered by Intel Xeon 6 host CPUs and accelerated by NVIDIA HGX B300.
- The solution integrates accelerated compute, high-speed networking, scalable storage, NVIDIA AI software, and professional services; AMAX also says it provides architecture design, rack integration, burn-in and validation testing, remote monitoring, and ongoing expansion planning.
Recent news
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Taiwan Chipmaker TSMC Pledges Another $100B to Expand U.S. Chipmaking
TSMC has announced plans to spend another $100 billion expanding its manufacturing capacity in the United States.
- The company said the new commitment would bring its total pledged investment in U.S. chipmaking to $265 billion and likely fund four additional fabrication plants in Arizona focused on 2-nanometer and below chips.
- TSMC also said it raised its 2026 capital expenditure budget to $60 billion-$64 billion from $52 billion-$56 billion and lifted its annual revenue growth forecast to slightly above 40%; the article also notes earlier U.S. commitments of $165 billion and a prior Taiwan-U.S. trade agreement tied to roughly $250 billion in new Taiwanese tech investments in the United States.
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🤖 La Machine #85: RAISE Summit and AI’s Megawatt Moment
The article is a recap and commentary on the 3rd edition of RAISE Summit in Paris, highlighting a shift in AI discussion toward infrastructure, power, chips, data centers, and networks.
- 9,000 people attended the summit at the Carrousel du Louvre on July 8 and 9; President Emmanuel Macron opened with a video address arguing Europe needs its own AI infrastructure.
- The piece frames the event as a buildout and megawatts moment, with agenda topics including energy, chips, data centers, networking, storage, inference, and security.
- It also quotes Grant Lee, CEO of Gamma: “AI is the steel of our generation,” and notes the crowd was focused on whether enough infrastructure can be built to keep up with AI demand.
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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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FBI considers deploying AI LLM supercomputers with Nvidia B300 GPUs or Google TPUs
The Federal Bureau of Investigation (FBI) is considering acquiring AI supercomputer hardware through a request for information (RFI).
- The FBI said it seeks information on AI computing products for LLM training, inference, advanced analytics, computer vision, and other secure government workloads.
- The RFI outlines four hardware categories, including rack-scale AI systems, AI pod architectures, and AI inference accelerators; most deliveries would go to the CJIS Division facility in Clarksburg, West Virginia.
- The document notes that RFIs are a precursor to procurement and do not guarantee purchase; the FBI could acquire equipment in varying quantities and configurations through delivery orders.
- Category details include Intel Xeon 6767P or equivalent, HGX B300 eight-GPU assembly, GB300 NVL72-equivalent systems, Google TPU-equivalent architectures, and Nvidia L40-S-equivalent inference hardware.
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Hitachi Energy to deliver 110kV grid connection for Kauri CAB data center in Frankfurt, Germany
Hitachi Energy has announced a contract to deliver a new grid connection solution for a Kauri CAB Digital Infrastructure data center in Frankfurt, Germany.
- Hitachi Energy will supply a dedicated 110kV grid connection designed for high reliability and a compact footprint to help integrate the data center into a constrained urban environment.
- The company said the solution will reinforce the interface between the transmission and distribution grids and support stable accommodation of growing electricity demand; no deployment timeline was provided. The article also says the project may relate to a 55,000 sqm parcel in Hochheim that Kauri acquired in April for €24 million ($28.2 million) and that the completed data center is expected to offer about 40MW.
- The piece additionally references prior Hitachi Energy deals: an April partnership with Samsung Engineering & Construction Group on HVAC grid infrastructure, a reported partnership with OpenAI on power transmission and distribution equipment, and a partnership with Southwest Power Pool on an Nvidia-powered AI tool for interconnection studies.
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Yotta’s AI Infra Play, BUILT Bags $2 Mn & More
Yotta Data Services has announced a major AI infrastructure expansion and financing plan, alongside a potential public listing filing.
- Yotta plans to invest $7 Bn in AI infrastructure by FY27 and deploy 40,000 NVIDIA Blackwell GPUs over the next four months, taking total capacity to about 85,000 chips by FY27-end.
- The company recently raised $150 Mn at a $3.9 Bn valuation, partnered with US-listed Gorilla for GPU financing, and is preparing to file its DRHP for a $1.5 Bn public listing; the article also says most compute will be redirected to overseas markets.
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How Yotta Is Building Its AI Infra Playbook To Serve Global Enterprises
Yotta Data Services has announced plans to scale its AI cloud and financing for AI infrastructure while preparing for an IPO.
- The company expects its cumulative AI infrastructure investment to exceed $7 Bn by FY27 and says about $4 Bn has already been committed to AI infrastructure.
- Yotta has raised $150 Mn from non-institutional investors at a valuation of ₹37,000 Cr (about $3.9 Bn), plans to file its DRHP in the coming months, and is targeting about $1.5 Bn across pre-IPO rounds and the IPO.
- Yotta expects its AI cloud to scale to 40,000+ NVIDIA Blackwell GPUs in four months and 85,000 GPUs by the end of the financial year; it also said an April partnership with Gorilla added $2.8 Bn to an agreement initially valued at $500 Mn.
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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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Crusoe Pushes Data Center AI Competition Beyond GPUs
Crusoe has announced new managed AI platform capabilities through its Intelligence Foundry, adding serverless fine-tuning and self-service inference deployments for open-weight models.
- Serverless Fine-Tuning and Self-Serve Deployments will be generally available next week through Crusoe Intelligence Foundry.
- The platform supports Qwen, DeepSeek, Gemma, and GPT-OSS, schedules fine-tuning dynamically across its AI infrastructure, and returns model weights in .safetensors format for portability.
- Inference endpoints run on Nvidia H100 and H200 GPUs without direct infrastructure provisioning.
- Pricing will be per-million-token for fine-tuning and per GPU hour for inference deployments.
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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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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.
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Singapore Temasek bets big on AI: targets 10–15% AI allocation in portfolio by 2031
Temasek has announced a plan to lift its direct AI exposure from about 6% of its portfolio to 10-15% by March 2031, as outlined in its Temasek Review 2026 statement by CEO Dilhan Pillay.
- Direct AI exposure target: increase from about 6% to 10-15% by March 2031; current net portfolio value is S$518 billion ($402 billion) as at 31 March 2026.
- Temasek said the target implies AI net worth of roughly S$52 billion to S$78 billion, up from about S$31 billion now, and that the remaining 85%-90% of the portfolio should focus on AI adoption for competitiveness.
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Data Center Frontier Trends Summit 2026 Preview
Data Center Frontier has announced a preview of the Data Center Frontier Trends Summit 2026, a conference focused on AI infrastructure execution, taking place August 4–6 in Reston, Virginia.
- The episode features Matt Vincent speaking with Bill Kleyman of Apolo to preview the summit and its themes, including power-first site selection, liquid cooling, behind-the-meter generation, supply chain execution, and community acceptance.
- The article says the industry has shifted from projection to execution and that announced megawatts are not the same as energized megawatts; it also highlights summit sessions and keynotes involving Rich Miller, Lee Kestler, NVIDIA, Meta, and the Open Compute Project.
- The content is a podcast/article preview and commentary, not a new project announcement; it references the summit agenda and speakers, with the conference set for August 4–6, 2026 in Reston, Virginia.
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DeepInfra deploys AI inference cloud in Toronto, Canada, data center
DeepInfra has announced a new data center location in Toronto, Canada, expanding beyond the United States for the first time.
- The Toronto cluster offers 1.7MW of capacity and will host more than 1,000 Nvidia Blackwell B300 GPUs; DeepInfra said it is its ninth data center location and first outside the US.
- CEO and co-founder Nikola Borisov said the site is a foundational step in expanding capacity beyond the US; the facility is likely leased capacity at a third-party site, and the announcement comes after DeepInfra raised $107 million in a Series B round and completed a $18 million Series A in April 2025.