Cycle on Sep 6, 2026

I will start by listing the open threads and reading the existing notes for this topic to understand what has already been established and what specific angles are currently being tracked.

I will now read the existing notes for this topic to understand what has already been documented and find the correct slugs to update.

First, I will pull the `market_view` for NVDA to ground our research in real public-market numbers. The brief asks: "Is Nvidia's AI capex story still intact?" I should look at NVDA's current performance, valuation, revenue/earnings trajectory, margins, and news. Let's run `market_view` for NVDA first.

The latest quarterly results for NVIDIA were reported on July 31, 2026 (for the quarter ending July 31, 2026, which is Q2 FY2027). Let's double check. Nvidia's quarterly revenue reached $96.22B in the quarter ending July 31, 2026, with an operating income of $63.73B and net income of $59.69B. Gross margin is 74.7% (TTM). Wait, let's look at the open threads. Is there any watch that has fired? One of the watches is: `Nvidia Exercise of Nebius Group (NBIS) Warrants Track`: "Track whether Nvidia exercises its pre-funded warrants in Nebius Group (NBIS) on or after September 11, 2026, which would convert its passive beneficial ownership of 21 million warrant-backed shares into active common shares. Fire date: 2026-09-12T00:00:00Z." Today is September 6, 2026. This date (September 11, 2026) is in the future (5 days from now). So it hasn't fired yet. What about other watches? - `CME Group Launch of Regulated Compute Futures Contracts` - fire date 2026-10-05 - `Apple Revamped Siri Launch with Blackwell Workloads` - fire date 2026-09-15 (future) - `Nvidia Q3 FY2027 Earnings - Vera Rubin 20% Revenue Share Track` - fire date 2026-11-18 (future) - `Nvidia Full Year Fiscal 2028 Revenue Growth Track` - fire date 2028-02-25 (future) - `OpenAI Jalapeno ASIC Production-Scale Deployment` - fire date 2027-06-30 (future) - `Oracle Gas Pipeline Completion and AI Data Center Power-On` - fire date 2027-02-25 (future) - `Lancium-Nvidia Partnership Grid Milestones and Capacity Deployment` - (no fire date, but tracked) - `Nvidia-Wall Street $500B Compute Financing Platforms Final Execution Track` - (no fire date, tracked) - `U.S. Congress Progress on Ratepayer Protection Act` - (no fire date, tracked) - `SpaceX Launch of First Starmind AI1 Prototype Satellite` - fire date 2027-03-31 (future) - `State-Level AI Data Center Moratorium Expansion Track` - (ongoing) - `AMD Instinct MI500 Launch and Rubin Ultra Comp` - fire date 2027-06-30 (future) - `Official Launch of ICE GPU Compute Futures Contracts` - (no fire date, tracked) - `Micron Quarterly Capex FY2027 Track` - (ongoing) - `First Commercial Deployment of Nvidia-LG Co-Developed Smart Factory Standard` - (no fire date, tracked) - `Kazakhstan Data Center Valley Phase 1 Groundbreaking` - fire date 2027-01-01 (future) - `Helix Digital Infrastructure Project Commitments Track` - (ongoing) - `TSMC Monthly Revenue YoY Growth Rate Track` - (ongoing) - `Ornn Compute Price Index Blackwell GPU Rental Rate Track` - (ongoing) - `Nvidia Gross Margin Track` - (ongoing, trigger: NVDA gross_margin < 70) - `Regulatory Scrutiny of Off-Balance-Sheet AI SPVs` - (ongoing) - `Nvidia Standalone Vera CPU Revenue Track` - (ongoing, trigger: NVDA cpu_revenue >= 2e+10) Let's do a search on recent news regarding Nvidia's AI capex, hyperscaler capex, or general trends about Nvidia's AI capex story in late August or early September 2026. Let's search for "Nvidia AI capex" or "hyperscaler capex Nvidia" or "Nvidia Q2 FY2027" or "Nvidia Q2 2026 earnings" (since the quarter ending July 31, 2026 is Q2 FY2027). Wait, let's search for Nvidia's recent earnings in late August 2026 or early September 2026. Let's do a search.

Ah! Nvidia's Q2 FY2027 results were released on August 26, 2026. Let's search for "NVIDIA Q2 FY2027 financial results" or "Nvidia Q2 FY2027 earnings release" to see what exactly happened on August 26, 2026. Let's do a search.

Let's fetch the WisdomTree blog post or the SeekingAlpha article "What Nvidia's August 2026 Print Actually Tells Us About The AI Buildout". Let's fetch the WisdomTree blog post: `https://www.wisdomtree.com/us/insights/blog/what-nvidia-s-august-2026-print-actually-tells-us-about-the-ai-buildout` or search for more information. Let's first search for more articles on "NVIDIA Q2 FY2027" or "Nvidia August 2026 print" to see what the numbers and takeaways are. Wait, let's web_fetch `https://www.wisdomtree.com/us/insights/blog/what-nvidia-s-august-2026-print-actually-tells-us-about-the-ai-buildout` or `https://sec-api.io/insights/nvidia-financial-analysis`. Let's fetch both if possible. Let's start with `https://sec-api.io/insights/nvidia-financial-analysis`.

This is an incredibly rich and detailed financial analysis of NVIDIA's Q2 FY2027 results (reported August 26, 2026). Let's look at the key details from this document: 1. **Q2 FY2027 Results (quarter ended July 26, 2026, reported August 26, 2026)**: - Revenue: $96.221B (up 106% YoY, up 18% QoQ) - Data Center Revenue: $89.023B (up 117% YoY, up 18% QoQ) - Split of Data Center: - Hyperscale: $48.710B (up 102% YoY, up 13% QoQ) - AI Clouds, Industrial & Enterprise: $40.313B (up 138% YoY, up 25% QoQ) - Edge Computing: $7.198B (up 27% YoY, up 13% QoQ) - Gross Profit: $72.142B, Gross Margin: 75.0% (GAAP, up 260bp YoY, up 10bp QoQ) - Operating Income: $63.734B, Operating Margin: 66.2% - Net Income: $59.688B, Diluted EPS: $2.46 (GAAP), $2.22 (Non-GAAP) - Note: Non-GAAP diluted EPS no longer excludes stock-based compensation (SBC), reversing the historical relationship where Non-GAAP was higher. Non-GAAP is now lower ($2.22 vs $2.46 GAAP). This is a crucial definition change! - Free Cash Flow: $21.341B (operating cash flow $24.08B, capital expenditure $2.68B) - Q3 FY2027 Guidance: Revenue of $108.0B ±2%, Gross Margin of 74.0% ±50bp, GAAP opex ~$9.2B, tax 16-18%. This guidance assumes *zero* Data Center compute revenue from China. - Supply commitments: **$279.0B** (up from $119.0B in Q1 FY2027 - a massive $160B jump in a single quarter!). The CFO stated this was "primarily related to the procurement of memory" (HBM and DRAM). - Days Sales Outstanding (DSO): Jumped to 60 days from 45 days in Q1 FY2027, driven by extended payment terms on large multi-quarter agreements with certain investment-grade customers. - Top customer concentration: One customer was 22% of FY2026 revenue, another 14%. - Other Income: Includes massive gains on unlisted equity stakes. In H1 FY2027, these gains reached $23.7B (roughly 1/5th of half-year net income). - Vendor financing commitments: Nvidia has a guarantee capped at $105B on SB Energy data centers leased to OpenAI (representing about 1.5 million GPUs or $150B-$200B of Nvidia's own revenue per infrastructure generation). It also has $36B of cloud services commitments to partners who buy its products. Wait, let's look at the SB Energy deal! The document mentions: "NVIDIA added a new risk factor in FY2026 on counterparty exposure, disclosing $99bn of equity investments, $25bn of investment commitments, $36bn of cloud services commitments to partners who simultaneously buy its products, and a guarantee capped at $105bn on SB Energy data centres leased to OpenAI. The insight: this is the structural weakness of the bull case... The SB Energy guarantee shows the scale: 4.25 gigawatts in Ohio on 20 year leases to OpenAI, which NVIDIA states represents about 1.5 million of its GPUs, or $150bn to $200bn of its own revenue, per infrastructure generation." And under the 8-K exhibits: "17 Aug 26 | 1.01, 2.03, 7.01 | EX-99.1 SB Energy release. PORTS-Pike Ohio, 4.25 IT gigawatts plus an option on 3.75 more, $1.5bn equity investment" Wait! Let's do a search on "SB Energy" "Pike Ohio" "Nvidia" "OpenAI" to understand this landmark deal that happened on August 17, 2026. This is a massive development that perfectly speaks to "vendor financing" and "alternative power/infrastructure" being guaranteed by Nvidia to keep the capex story moving. Let's search for this.

Wow, this is an incredible, landmark deal! On August 17, 2026, Nvidia announced a partnership with SB Energy and OpenAI. Let's look at the details: - SB Energy is building, owning, and operating a massive data center at the PORTS-Pike Technology Campus in Pike County, Ohio. - The campus will have up to 10 GW of capacity (or 8 IT-GW). - OpenAI will be the customer under a 20-year lease. - OpenAI will utilize the site, which will exclusively host NVIDIA AI compute infrastructure (full-stack DSX platform, including GPUs, CPUs, and networking). - NVIDIA will invest $1.5 billion in SB Energy as an equity investment. - NVIDIA will provide **credit support (guarantees) capped at $105 billion** for the land, power, and shell (LPS) buildout associated with the initial 4.25 IT-GW. - This is a massive physical infrastructure and vendor financing deal where NVIDIA acts as a credit guarantor to enable OpenAI to lease the site and deploy NVIDIA systems. - Each generation of NVIDIA systems deployed at PORTS-Pike could represent approximately 1.5 million NVIDIA GPUs, translating to $150 billion to $200 billion in NVIDIA revenue. Wait, let's look at the thread list again. Is there a thread about this? `Nvidia-Wall Street $500B Compute Financing Platforms Final Execution Track`: "Track when Nvidia and its Wall Street partners (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR) execute the definitive agreements for the $500 billion compute financing platforms, following the MOUs signed on August 10, 2026." Wait, that is about the $500B compute financing platforms. This SB Energy deal is a specific $105B guarantee / $1.5B investment deal with SB Energy and OpenAI. Wait, let's look at another thread: `Official Closing and Regulatory Approval of Nvidia's Hugging Face Acquisition`: "Track when Nvidia officially closes its $12.9 billion acquisition of Hugging Face, including any antitrust or regulatory reviews." Let's do a search on other recent developments. Are there any other major updates on the "Nvidia AI capex story" or "hyperscaler capex" since late August 2026? Let's search for "Nvidia AI capex" or "hyperscaler capex" or "Blackwell" or "Rubin" or "Ornn" or "CME compute futures" or "Nebius warrants" in recent news. Let's run a search.

Wow, this is an incredible set of search results! Let's examine the key items: 1. **OpenAI Jalapeño**: - There's a SemiAnalysis article titled "OpenAI Jalapeño: Better Than Nvidia Blackwell" (published around late August 2026). - "OpenAI's self-designed ASIC compared with Rubin, Jalapeño's TCO, throughput per MW, and spicy deets." - "An eight-chip Jalapeño node carries ~1.7TB of memory, enough to hold the same FP4 frontier model with room to spare. That footprint requires less capex than a..." - Fox Business and CNBC report: "OpenAI's Jalapeño AI chip brings new 'threat' to Nvidia margins as custom silicon gains ground." "OpenAI's Jalapeño chip beat Nvidia Blackwell systems on key inference-efficiency tests as custom AI silicon gains ground among major tech companies." - This is a major update! Let's fetch the SemiAnalysis article or search for "OpenAI Jalapeño" or "Jalapeno" to get the exact quotes and details. This is directly related to the custom silicon threat to Nvidia's moat! 2. **NVIDIA Vera Rubin and Rubin Ultra memory configs**: - "NVIDIA took the Hot Chips 2026 stage to detail the Rubin GPU, its next data center accelerator in the Vera Rubin platform. Agentic AI is the recurring theme..." - Tom's Hardware reports: "Nvidia reportedly testing lower memory configs of Rubin Ultra as memory shortage bites back — designs tested include as little as 192 GB and step back to HBM4 [Updated]" (around mid-August 2026). - "Nvidia is quietly testing stripped-down memory configurations for its next flagship AI chip, and the ripple effects could hit Micron shareholders before..." (August 18, 2026). - This is fascinating! A memory shortage (HBM) is biting back, forcing Nvidia to test lower memory configurations of Rubin Ultra (as little as 192 GB and step back to HBM4). This is a direct risk to Micron/SK hynix, and also shows the physical bottlenecks on Nvidia's side. 3. **SpaceX Starmind AI1**: - "Oppenheimer cited SpaceX's vertically integrated AI platform, combining proprietary data, capital, and Nvidia GPUs. SpaceX's first Starmind AI1 satellite..." (September 2026). - This relates to our watch: `SpaceX Launch of First Starmind AI1 Prototype Satellite`. Let's check if the satellite has launched or if there are new details. 4. **Figure and Nscale Partnership**: - "Figure and Nscale Sign Strategic Partnership For Up to 100,000 GPUs on the NVIDIA Vera Rubin Platform" (around September 3, 2026). - "Today we are announcing a partnership with Nscale to deploy the NVIDIA Vera Rubin platform for up to 100000 GPUs targeted for initial deployment starting..." - This is a major physical AI / robotics capex narrative! Let's look into this. Let's do some searches to drill down into: 1. OpenAI's Jalapeño chip. Let's search for "OpenAI Jalapeño" or "OpenAI Jalapeno SemiAnalysis" or "OpenAI Jalapeño CNBC". 2. Nvidia testing lower memory configs for Rubin Ultra. 3. Figure and Nscale partnership. Let's run a web search.

This is extremely interesting! OpenAI and Broadcom officially unveiled the "Jalapeño" chip (OpenAI's first custom inference chip) on Wednesday, August 26, 2026. Let's look at the details: - It is an inference ASIC and scale-up system designed with Broadcom. - It was built in an ultra-fast 9-month development cycle. - It is a massive, reticle-sized ASIC. - It is designed for inference and is not a repurposed training chip. - Performance: On SemiAnalysis's "InferenceX" benchmark (using 8K input, 1K output tokens with 4-bit weights), Jalapeño sits on the latency-efficiency Pareto frontier across GPT-OSS 120B, DeepSeek R1 670B, and Kimi K2.5 1T. - Its token throughput per MW exceeds Vera Rubin's MTP results and far exceeds GB200's results. Its iso-interactivity throughput per MW is nearly double GB200's highest throughput point. - Software: OpenAI programs it with Gluon and writes kernels like assembly, optimizing kernels against simulation and hardware feedback. - Deployment: It is expected to begin deployment in OpenAI's computing infrastructure by the end of 2026 (CNBC: "expected to begin deployment in the company’s computing infrastructure by the end of the year"). - This is a direct competitive challenge to Nvidia's high-margin Blackwell/Rubin in the inference market! Wait, let's look at our watch for this: `OpenAI Jalapeno ASIC Production-Scale Deployment`: - "Track the first production-scale deployment or commercial workload execution of OpenAI's in-house developed "Jalapeno" ASIC chip in its active training or inference clusters. Fire date: 2027-06-30T00:00:00Z." - Trigger: "Fires when OpenAI or Broadcom officially announces that "Jalapeno" is running live production workloads or active model training." Wait, since they announced it on August 26, 2026, but it is expected to begin deployment by the end of the year, it hasn't officially deployed on a production-scale live workload yet, but we have the official unveiling and benchmarks! This is a massive update for the custom silicon note. We should definitely update `custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly`. Let's check the other watch regarding the SpaceX Starmind satellite: `SpaceX Launch of First Starmind AI1 Prototype Satellite`: - "Track when SpaceX launches its first prototype Starmind AI1 satellite into orbit, carrying Nvidia's Vera Rubin payload, to begin space-based AI compute testing. Fire date: 2027-03-31T00:00:00Z." Is there any news about this launching or being discussed? Wait, the search result showed: "Oppenheimer cited SpaceX's vertically integrated AI platform, combining proprietary data, capital, and Nvidia GPUs. SpaceX's first Starmind AI1 satellite..." (September 2026). Let's search for "SpaceX" "Starmind" "Nvidia" to see what happened. Let's do a web search.

Excellent. So the Starmind AI1 satellite is still in development and the partnership was announced, but the actual launch is scheduled for early 2027 (fire date of March 31, 2027). The watch is still active. Let's check the other news regarding the "Figure and Nscale" partnership. Let's do a search on "Figure" "Nscale" "Vera Rubin" or "GPU". Let's search.

This is a spectacular piece of news from September 3, 2026! Let's summarize the Figure and Nscale deal: - On September 3, 2026, Figure (the humanoid robotics company) and Nscale (AI cloud infrastructure provider) announced a strategic partnership to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin platform. - Initial commitment: **$3.5 billion of compute** with intent to scale to over **$6 billion**. - The initial deployment is targeted for the second half of 2027 in Barstow, Texas. - Why Figure needs this compute: To train its next-generation AI model ("Helix") for general humanoid robotics. The company is bound by data and compute needed to train Helix. - The robotics flywheel: "training Figure’s models on NVIDIA Vera Rubin through Nscale’s AI cloud, validating them in NVIDIA Isaac Sim, and deploying them on NVIDIA GPUs in Figure’s robots." - This represents a massive shift from purely software/text-based LLM capex to physical AI / humanoid robotics capex, which represents a brand new leg of growth for NVIDIA's next-generation architectures like Vera Rubin. Wait, let's look at the other watch: `Nvidia Exercise of Nebius Group (NBIS) Warrants Track`: - "Track whether Nvidia exercises its pre-funded warrants in Nebius Group (NBIS) on or after September 11, 2026, which would convert its passive beneficial ownership of 21 million warrant-backed shares into active common shares. Fire date: 2026-09-12T00:00:00Z." Is there any news about Nebius Group or Nvidia's warrants in Nebius? Let's search for "Nebius" "warrants" "Nvidia" or "NBIS". Let's run a web search.

Wow! Under the Securities Purchase Agreement signed on March 11, 2026, Nvidia acquired a pre-funded Class A ordinary share purchase warrant for 21,065,936 shares of Nebius Group (NBIS). Nvidia is prohibited from exercising the warrant and from selling the underlying Nebius Class A shares before **September 11, 2026**. Today is September 6, 2026. This restriction is lifted in 5 days! This means our watch: `Nvidia Exercise of Nebius Group (NBIS) Warrants Track` "Track whether Nvidia exercises its pre-funded warrants in Nebius Group (NBIS) on or after September 11, 2026, which would convert its passive beneficial ownership of 21 million warrant-backed shares into active common shares." This watch is highly relevant and will be active in 5 days (on September 11, 2026). Let's look at the other watch: `State-Level AI Data Center Moratorium Expansion Track`: - "Track whether other U.S. states (such as Virginia, Georgia, Ohio, or Texas) or federal regulatory agencies impose similar moratoriums or restrictive grid/power regulations on large AI data center construction, following New York's July 14, 2026 moratorium." Wait, let's look at our prior findings: `The AI Infrastructure Clash: Texas Enacts Statewide Freeze on New Data Centers as Local Moratoriums Explode Nationally` (slug: `hyperscaler-capex-surge-2026`). Oh! Texas enacted a statewide freeze on new data centers! That means this watch has already been updated or fired in a previous cycle, or we should check if there are further updates on state-level data center moratoriums or regulations in Georgia, Virginia, etc. Let's search for "data center moratorium" or "AI power grid restriction" or "Ratepayer Protection Act" in late August/September 2026. Let's run a web search.

This is a massive and incredibly fast-moving regulatory and local political backlash! We must update `hyperscaler-capex-surge-2026` (slug: `hyperscaler-capex-surge-2026`). Let's see what is happening across the country: - **Georgia**: Senator Raphael Warnock on August 28, 2026 called for a statewide moratorium on data center construction in Georgia, particularly focusing on OpenAI's planned $20 billion data center ("Project Camellia") in coastal Georgia (Effingham County). Savannah recently approved a 155-day moratorium, and neighboring Bloomingdale approved a six-month moratorium on August 20, 2026 (running through February 16, 2027). - **Texas**: Governor Greg Abbott issued a statewide data center moratorium on August 11, 2026, disrupting projects under construction (as reported by Morrison Foerster). - **Michigan**: Republican Mike Rogers (running for U.S. Senate in Michigan) backed a state-level one-year data center moratorium on August 20, 2026. Environmental groups in Detroit also called for a moratorium in July 2026. - **New Mexico**: State Democratic lawmakers are pitching a statewide data center moratorium for the 2027 legislative session. - **Wisconsin**: Communities like Madison and Superior passed moratoriums, and Kenosha-area residents are pushing for a moratorium to pause a proposed Microsoft development. - **Florida**: North Port commissioners are considering an 18-month retroactive moratorium. Sarasota County also put a moratorium on data centers in July. - **North Carolina**: Durham County commissioners held a public hearing on a proposed moratorium on data centers in late August 2026. - **Maryland**: Baltimore County Council is poised to extend its data center moratorium in September 2026. - **Federal Legislation**: On Capitol Hill, Congress is advancing the **Ratepayer Protection Act (H.R. 9340)** (introduced in June 2026) to shield Americans from the grid impacts of data centers. This is a stunning nationwide regulatory and political backlash against the physical buildout of AI data centers. It directly threatens the "megawatts" side of the AI capex cycle! If developers can't get power or permits, they can't buy or deploy GPUs. This is the exact binding constraint that NVIDIA's $105B Ohio SB Energy deal is trying to bypass by securing long-term power and shell. Wait, let's review our existing notes to see which ones we should update: 1. `nvidia-ai-capex-cycle-sustainability`: This is the primary note for "Nvidia's AI Capex Cycle Sustainability". We should update it with the Q2 FY2027 earnings results (reported August 26, 2026), the $279B supply commitments, the gross margin trends, and the core demand/supply outlook. 2. `nvidia-infrastructure-leasing-circular-financing`: This note covers Nvidia's infrastructure leasing, circular financing, and Wall Street platforms. We should update this note to include the landmark **$105B SB Energy guarantee / $1.5B equity investment deal** announced on August 17, 2026, where Nvidia guarantees the PORTS-Pike Technology Campus in Ohio for OpenAI (20-year lease, 4.25 IT-GW initial, up to 8 IT-GW). This is a textbook example of Nvidia underwriting its own demand and taking on massive off-balance-sheet liabilities. 3. `hyperscaler-capex-surge-2026`: This note covers the physical bottlenecks and data center moratoriums. We should update it to document the massive state-level data center moratorium expansion in late August 2026 (Warnock in Georgia, Michigan Senate race, Bloomingdale/Savannah, Kenosha, North Port, etc.), as well as the federal Ratepayer Protection Act (H.R. 9340). 4. `custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly`: This note covers custom silicon and challenges to Nvidia's moat. We should update it to cover the official unveiling and benchmarking of **OpenAI's "Jalapeño" inference chip** on August 26, 2026. Wait, let's double check if there are any other notes we should write or update. Let's see: Is there a note about the Figure and Nscale partnership? Or does that fit into a new note or an existing one? Wait, the Nscale and Figure partnership is a massive $3.5B (scaling to $6B) deal for up to 100,000 Vera Rubin GPUs for humanoid robotics. This is a very strong signal for "Nvidia's AI capex cycle sustainability" and "Vera Rubin platform" demand. It could go into `nvidia-ai-capex-cycle-sustainability` or `nvidia-vera-rubin-commercial-shipments-benchmarks`! Let's look at `nvidia-vera-rubin-commercial-shipments-benchmarks`: "NVIDIA Vera Rubin Platform: Full Production, 20% Q3 Revenue Ramp, and the "Revenue per Gigawatt" Bypassing of Grid Bottlenecks" Wait, let's update `nvidia-vera-rubin-commercial-shipments-benchmarks` to include the Figure-Nscale partnership for 100,000 Vera Rubin GPUs! Let's read the exact text of our prior notes to make sure we edit them cleanly. I will read `nvidia-ai-capex-cycle-sustainability` first. Wait, I don't need to read all of them via web_fetch, but I can fetch them if I need their exact content. Let's list the notes we'll update: - `nvidia-ai-capex-cycle-sustainability` - `nvidia-infrastructure-leasing-circular-financing` - `hyperscaler-capex-surge-2026` - `custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly` - `nvidia-vera-rubin-commercial-shipments-benchmarks` Wait, let's look at the instructions: - "Name a slug for the DURABLE SUBJECT it tracks... When this cycle advances a subject you already have a finding for, call write_note with that SAME slug to revise it in place... Mint a fresh slug ONLY for a genuinely new subject." - "To link ANOTHER finding from a note body, write its slug as a wikilink — `[[its-slug]]`... NEVER hand-build the link as a bare path or a full URL." - "Carry 1-2 REPRESENTATIVE VERBATIM QUOTES, copied exactly, each kept with the link it came from... then say what it means." Let's read `nvidia-ai-capex-cycle-sustainability` to see what is already in it, so we can update it properly. Wait, can I read it? Since it's in the workspace, let's see if there is a file or if we have to fetch it. Wait, let's read the notes from the workspace or search the files. Let's do a quick search of the files in the workspace. No, wait, I can just use `read_notes` which already gave me a preview, but wait! To see the full body of a note, let's see if we can find it. Wait, `read_notes` only returns slug, title, preview, updated_at, and source_count. Is there a way to read the full note? Ah! The note bodies are saved in the workspace. Let's list the files in `/var/lib/hey-lefty/notes/019e89b4-58b3-7e3b-a0c2-6a68bd3242db/019e95a0-30d1-7d08-ae5b-10ac242b9d5c`. Let's see if we can find them. No, wait, we don't have a direct file listing tool, but we can do a web_search or read them if they are stored as markdown files. Wait, we are exoclaw, we have access to the bash or file tools if we want, but wait! We don't have a bash tool declared in our declarations! The only tools declared are: - `list_threads` - `record_thread` - `resolve_thread` - `record_watch` - `record_event` - `read_notes` - `write_note` - `finish_cycle` - `web_search` - `web_fetch` - `market_view` Ah! We only have those specific tools. That means we don't have a tool to read the full body of an existing note from the backend database, but we can update them based on our understanding, or we can write a comprehensive updated version of the note and write it using `write_note`. Yes, writing a note with the same slug overwrites/updates it. Let's make sure our updated notes are incredibly robust, detailed, and fully ground the new developments alongside the historical context. Let's carefully construct our updates for the key notes. ### Note 1: `nvidia-ai-capex-cycle-sustainability` This note tracks the sustainability of Nvidia's AI capex cycle, including its financial trajectory, gross margins, and forward growth. Let's ground it in: - The Q2 FY2027 results reported on August 26, 2026: TTM revenue of $302.97B (+105.9% YoY). Q2 revenue reached $96.22B (+106% YoY, +18% QoQ), with Data Center at $89.02B (+117% YoY). - Operating income of $63.73B and net income of $59.69B. Gross margins held at 75.0% (GAAP). - The definition change in Q1 FY2027 where stock-based compensation is no longer excluded from Non-GAAP measures, causing Non-GAAP EPS ($2.22) to fall below GAAP EPS ($2.46) for Q2. - The massive jump in supply commitments to **$279.0B** (up from $119.0B in Q1 FY2027), representing a $160B surge in a single quarter, primarily driven by memory procurement (HBM/DRAM) for several years of supply. - The Days Sales Outstanding (DSO) increase from 45 days to 60 days in Q2, indicating extended payment terms on large multi-quarter agreements with certain customers. - Q3 FY2027 guidance of $108.0B ±2%, which represents a deceleration in percentage terms but a massive absolute dollar growth. - We should mention the valuation context: At a $5.56T market cap and trading at $230.36, NVDA trades at a forward P/E of ~18.4x (as of late August 2026), reflecting that the market has already priced in significant deceleration. - We should also mention the Figure-Nscale partnership ($3.5B initial commitment for up to 100,000 Vera Rubin GPUs) as a new leg of physical AI capex. Let's write this note first. I will draft a highly professional, detailed markdown body for `nvidia-ai-capex-cycle-sustainability`. Wait, let's double check if there are any other specific quotes we need. From `https://sec-api.io/insights/nvidia-financial-analysis`: Quote: "The stock has returned 837% over five years and its multiple fell 58% doing it. Revenue went from $26.9bn (FY2022) to $215.9bn (FY2026) and the trailing twelve months stand at $303.0bn. Operating margin of 60.4% and ROIC of 150% are without precedent at this scale. But three things changed in the last four quarters: gross margin peaked, working capital began absorbing cash, and NVIDIA now finances its own customers." And: "NVIDIA has beaten its own revenue guidance midpoint by 5.6%, 4.8%, 4.6% and 5.7% in the last four quarters, an average of 5.2%... Apply that average to the $108.0bn guided for Q3 FY2027 and the quarter lands near $113.6bn." And: "At Q2 FY2027 receivables of $63.1bn represent 60 days of sales, up from 45 days in a single quarter, and the company attributes the build to 'extended payment terms on large multiquarter agreements with certain investment grade customers.'" And: "The FY2027 Variable Compensation Plan, filed as EX-10.1 on 6 March 2026, allocates senior officer bonuses entirely to one metric, fiscal 2027 revenue. There is no margin, cash flow, return on capital or inventory measure in the plan... in a year when the company added $160bn of supply commitments in a single quarter, it is worth knowing that the people approving those commitments are paid on revenue alone." Let's use these quotes and findings to write the updated note for `nvidia-ai-capex-cycle-sustainability`. Let's state our intent before calling `write_note`. I will write the updated note for `nvidia-ai-capex-cycle-sustainability`.

I will now write the updated note for `nvidia-ai-capex-cycle-sustainability` to document Nvidia's Q2 FY2027 financial performance, the massive $160 billion quarterly jump in supply commitments, the increase in Days Sales Outstanding (DSO), and the newly activated physical AI capex leg.

I will now write the updated note for `nvidia-infrastructure-leasing-circular-financing` to document the landmark $105 billion SB Energy credit guarantee and $1.5 billion equity investment deal announced on August 17, 2026. This is a crucial example of Nvidia underwriting its own demand and taking on massive off-balance-sheet liabilities to keep the capex story moving.

I will now write the updated note for `hyperscaler-capex-surge-2026` to document the massive state-level data center moratorium expansion in late August 2026 (including Warnock in Georgia, Texas's statewide freeze, and local bans in Wisconsin, Florida, and Michigan) and the federal Ratepayer Protection Act (H.R. 9340). This represents a severe physical bottleneck to the AI capex cycle.

I will now write the updated note for `custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly` to document the official unveiling and benchmark results of **OpenAI's "Jalapeño" inference ASIC** on August 26, 2026. This represents a major competitive milestone and a direct challenge to Nvidia's high-margin hardware in the inference market.

I will now write the updated note for `nvidia-vera-rubin-commercial-shipments-benchmarks` to document the landmark Figure-Nscale partnership for 100,000 Vera Rubin GPUs for humanoid robotics, representing a massive new physical AI capex leg. I will also document the memory constraints (HBM shortage) forcing Nvidia to test lower memory configurations for Rubin Ultra.

Let's check if there are any threads we can resolve or if we should record any events. First, let's look at the threads: 1. `Nvidia-Wall Street $500B Compute Financing Platforms Final Execution Track`: - "Track when Nvidia and its Wall Street partners (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR) execute the definitive agreements for the $500 billion compute financing platforms, following the MOUs signed on August 10, 2026." - Wait, did they execute the definitive agreements yet? Let's search for this. Let's do a search on "Nvidia" "500 billion" "compute financing". No, wait, since we haven't seen any news of the final definitive agreements being executed yet (just the MOUs on August 10), we shouldn't resolve this yet. 2. `U.S. Congress Progress on Ratepayer Protection Act`: - "Track whether the Ratepayer Protection Act passes the U.S. House of Representatives or Senate, imposing federal regulations on AI data center power allocation and ratepayer protections." - It's currently moving forward in the House, but hasn't passed both chambers yet. 3. `State-Level AI Data Center Moratorium Expansion Track`: - "Track whether other U.S. states (such as Virginia, Georgia, Ohio, or Texas) or federal regulatory agencies impose similar moratoriums or restrictive grid/power regulations on large AI data center construction, following New York's July 14, 2026 moratorium." - Wait! This is an ongoing watch. We found that Texas enacted a statewide freeze on August 11, 2026, and Georgia is facing a major moratorium push (with Warnock calling for a statewide moratorium on August 28, 2026, Bloomingdale passing one on August 20, 2026, and Savannah recently passing one). Also, Michigan, Wisconsin, Florida, and North Carolina are considering or passing moratoriums. - Let's record an event on this ongoing watch! Let's call `record_event` with `resolves: false` since it's an ongoing watch. Let's check the parameters for `record_event`: - `thread_id`: `019f6f55-61e5-71a9-898a-2a6088793817` - `cycle_id`: (we can leave it blank or get it from the chat ID if it's there. The chat ID has `cycle-a27a7ab2-106c-49e6-b292-7ad3d2dd8ebb`, so `cycle_id` is `a27a7ab2-106c-49e6-b292-7ad3d2dd8ebb` or we can pass a dummy/leave it blank. Let's pass `a27a7ab2-106c-49e6-b292-7ad3d2dd8ebb`). - `summary`: "Texas orders statewide moratorium; Georgia, Michigan, Florida, and Wisconsin advance data center construction halts." - `outcome`: "Texas ordered a statewide freeze on August 11, 2026; Georgia facing statewide moratorium calls from Warnock on August 28, 2026; local bans passed in Bloomingdale and Savannah; Michigan, Florida, and Wisconsin communities advance moratoriums." - `resolves`: `false` (ongoing) - `salience`: `5` (very high impact on capex buildout) Let's call `record_event`.

This is excellent. Let's check if there are any other watches we should update or record events for. Wait, what about `Nvidia Gross Margin Track` (trigger: `gross_margin < 70`)? Nvidia's gross margin was reported as 75.0% GAAP in Q2 FY2027, and guided to 74.0% GAAP in Q3. This is well above 70%, so the trigger hasn't fired. What about `Nvidia Standalone Vera CPU Revenue Track` (trigger: `cpu_revenue >= 2e+10`)? Vera CPUs are launching with Vera Rubin, but we don't have standalone CPU revenue figures showing they have exceeded $20B yet. So this hasn't fired. What about `TSMC Monthly Revenue YoY Growth Rate Track` (trigger: drops below 20% YoY)? Let's see: we don't have evidence that TSMC's monthly YoY revenue growth has dropped below 20% yet. What about `Ornn Compute Price Index Blackwell GPU Rental Rate Track` (trigger: `< 3`)? We don't have evidence that the Blackwell GPU rental rate has dropped below $3/hour yet. What about `Regulatory Scrutiny of Off-Balance-Sheet AI SPVs`? No formal SEC inquiries or accounting changes targeting AI SPVs have been announced yet, though there is general hater/skeptic press about Nvidia's "vendor financing by proxy" (e.g. Ed Zitron, Where's Your Ed). This watch remains active. What about `Lancium-Nvidia Partnership Grid Milestones and Capacity Deployment`? We don't have evidence of new milestones yet. What about `CME Group Launch of Regulated Compute Futures Contracts`? This is scheduled for October 5, 2026. Today is September 6, 2026, so it's still in the future. What about `Nvidia Exercise of Nebius Group (NBIS) Warrants Track`? The restriction is lifted on September 11, 2026. Today is September 6, 2026, so it's in the future. Let's register a new watch for something forward-looking we surfaced in this cycle. What forward-looking thing did we surface? - We surfaced that OpenAI is expected to begin deployment of its custom "Jalapeño" inference chip in its computing infrastructure by the end of 2026. This is already covered by the watch `OpenAI Jalapeno ASIC Production-Scale Deployment` (fire date 2027-06-30). - We surfaced the Figure-Nscale partnership to deploy up to 100,000 GPUs on the NVIDIA Vera Rubin platform starting the second half of 2027. Let's register a watch for the Figure-Nscale 100,000 GPU deployment! This is a major dated catalyst and milestone for physical AI. Let's call `record_watch`: - `topic_id`: `019e95a0-30d1-7d08-ae5b-10ac242b9d5c` - `cycle_id`: `a27a7ab2-106c-49e6-b292-7ad3d2dd8ebb` - `title`: "Figure and Nscale Initial Deployment of 100,000 Vera Rubin GPUs in Barstow, Texas" - `cardinality`: `one_shot` - `watch_type`: `dated_catalyst` - `fire_date`: `2027-12-31T00:00:00Z` - `entity`: "Figure / Nscale" - `description`: "Track whether Figure and Nscale commence the initial deployment of up to 100,000 NVIDIA Vera Rubin GPUs in Barstow, Texas, starting in the second half of 2027." - `note`: "Fires when Figure or Nscale officially announces that the first phase of the $3.5B Barstow, Texas data center is operational and running Vera Rubin GPUs." Let's do this. This is a very clean and specific forward-looking watch.

Let's see: are there any other watches we should register? What about the memory configuration of Rubin Ultra? "NVIDIA is reportedly testing Rubin Ultra designs with as little as 192 GB of memory, representing a step back to standard HBM4 rather than the planned higher-density HBM4E configurations." Let's register a watch for the final announced memory specs of the Rubin Ultra! This is a great dated catalyst / tripwire for memory capacity downgrades. Let's call `record_watch`: - `topic_id`: `019e95a0-30d1-7d08-ae5b-10ac242b9d5c` - `cycle_id`: `a27a7ab2-106c-49e6-b292-7ad3d2dd8ebb` - `title`: "NVIDIA Rubin Ultra Final Memory Specification Announcement" - `cardinality`: `one_shot` - `watch_type`: `dated_catalyst` - `fire_date`: `2027-03-31T00:00:00Z` - `entity`: "NVDA" - `description`: "Track whether NVIDIA's official commercial launch of the Rubin Ultra features a downgraded memory configuration (e.g. 192 GB or standard HBM4) due to the HBM shortage." - `note`: "Fires when official product specifications for the Rubin Ultra are released, confirming whether the memory footprint has been reduced below original expectations." Let's call `record_watch` for this.

This is excellent. Now I have written and updated all five relevant prior findings with highly robust, cited evidence from this cycle: 1. `nvidia-ai-capex-cycle-sustainability` 2. `nvidia-infrastructure-leasing-circular-financing` 3. `hyperscaler-capex-surge-2026` 4. `custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly` 5. `nvidia-vera-rubin-commercial-shipments-benchmarks` I have also recorded an event on the ongoing watch `State-Level AI Data Center Moratorium Expansion Track` regarding the massive wave of state-level data center moratoriums in late August 2026. And I have registered two new forward-looking watches: 1. `Figure and Nscale Initial Deployment of 100,000 Vera Rubin GPUs in Barstow, Texas` 2. `NVIDIA Rubin Ultra Final Memory Specification Announcement` I will now call `finish_cycle` to end the research cycle. This is the only way to complete a cycle. I will state my intent first.

I have completed this research cycle, thoroughly addressing the core question: **"Is Nvidia's AI capex story still intact?"** Here is a summary of the findings and updates made during this cycle: ### 1. Robust Q2 FY2027 Financials and the $279B Supply Commitment Surge Nvidia's financial trajectory remains historic, with TTM revenue crossing **$302.97 billion** (+105.9% YoY) as of the quarter ending July 31, 2026 (reported August 26, 2026). However, the mechanics of the capex cycle are shifting: * **The $160B Supply Jump:** Nvidia's outstanding supply and capacity commitments skyrocketed by **$160 billion in a single quarter** to reach **$279.0 billion**, primarily driven by locking in long-term memory components (HBM and DRAM) ahead of the next-generation Vera Rubin architecture. * **Operational Frictions:** Days Sales Outstanding (DSO) jumped from 45 to 60 days, reflecting extended payment terms granted to large, multi-quarter customers. Additionally, a Non-GAAP definition change means stock-based compensation is no longer excluded, causing Non-GAAP EPS ($2.22) to fall below GAAP EPS ($2.46). * **Updated Finding:** `[[nvidia-ai-capex-cycle-sustainability]]` ### 2. Underwriting Its Own Demand: The $105B SB Energy Guarantee In an unprecedented move to bypass utility grid and capital constraints, Nvidia has entered the business of directly underwriting physical infrastructure: * **The Ohio PORTS-Pike Deal:** On August 17, 2026, Nvidia announced a partnership with SB Energy and OpenAI to build a massive **10 GW data center complex** in Pike County, Ohio. OpenAI will lease the site for 20 years to exclusively host Nvidia AI compute. * **Nvidia's Backstop:** Nvidia is making a **$1.5 billion equity investment** in SB Energy and providing **credit support and guarantees capped at $105 billion** to backstop the initial 4.25 IT-GW buildout. This introduces highly concentrated circular risk: Nvidia is acting as the vendor, the customer's backstop, and the equity investor simultaneously. * **Updated Finding:** `[[nvidia-infrastructure-leasing-circular-financing]]` ### 3. Grid Bottlenecks: A National Wave of Data Center Moratoriums The physical constraints of the U.S. electrical grid are triggering an intense regulatory and political backlash: * **Statewide Bans:** Governor Greg Abbott issued a sweeping statewide data center moratorium in Texas on August 11, 2026. On August 28, 2026, Senator Raphael Warnock called for a statewide moratorium in Georgia, targeting OpenAI's coastal "Project Camellia." Local halts are also advancing in Michigan, Wisconsin, Florida, North Carolina, and Maryland. * **Federal Intervention:** Bipartisan momentum is building on Capitol Hill behind the **Ratepayer Protection Act (H.R. 9340)** to prevent utility companies from shifting grid upgrade costs onto residential households. * **Updated Finding:** `[[hyperscaler-capex-surge-2026]]` * **Recorded Event:** Logged these developments on the ongoing watch `State-Level AI Data Center Moratorium Expansion Track`. ### 4. Custom Silicon Threats: OpenAI's Jalapeño ASIC Nvidia's high-margin inference moat is facing its most direct challenge yet: * **The Jalapeño Unveiling:** On August 26, 2026, OpenAI and Broadcom officially unveiled **Jalapeño**, a reticle-sized, purpose-built inference ASIC. * **Performance Benchmarks:** On SemiAnalysis's independent "InferenceX" benchmarks, Jalapeño's token throughput per MW surpassed early results for Nvidia's next-generation Vera Rubin architecture and far exceeded Blackwell (GB200) results. Its iso-interactivity throughput per MW is nearly double the highest throughput point of GB200, threatening Nvidia's dominance as the market transitions from training to inference. * **Updated Finding:** `[[custom-silicon-surge-openai-jalapeno-qualcomm-dragonfly]]` ### 5. Vera Rubin and the Humanoid Robotics Flywheel The next-generation Vera Rubin architecture is opening up new capex channels beyond LLMs: * **The Figure-Nscale Deal:** On September 3, 2026, Figure and Nscale signed a **$3.5 billion strategic partnership** to deploy up to **100,000 GPUs on the NVIDIA Vera Rubin platform** starting in H2 2027. This activates a "robotics flywheel" (training on Vera Rubin, validating in Isaac Sim, and deploying on humanoid robots). * **HBM Shortage Constraints:** High-bandwidth memory shortages are biting. SK hynix is sold out of HBM through 2026, forcing Nvidia to quietly test stripped-down Rubin Ultra designs with as little as 192 GB of memory, stepping back to standard HBM4. * **Updated Finding:** `[[nvidia-vera-rubin-commercial-shipments-benchmarks]]` ### 6. New Forward-Looking Watches Registered * **`Figure and Nscale Initial Deployment of 100,000 Vera Rubin GPUs in Barstow, Texas`** (Fire Date: Dec 31, 2027) — To track the physical deployment of the $3.5B humanoid robotics compute cluster. * **`NVIDIA Rubin Ultra Final Memory Specification Announcement`** (Fire Date: Mar 31, 2027) — To monitor whether Nvidia is forced to commercially launch Rubin Ultra with a downgraded memory configuration due to the HBM shortage.