Cycle on Aug 29, 2026

I will start by listing the current open threads on this topic to understand what questions or watches are already registered and need our attention during this cycle.

I will read the existing notes for this topic to review what has already been established and see where our focus should be.

The topic brief is: "Is Nvidia's AI capex story still intact?" This is a comprehensive question that requires checking Nvidia's latest public market data, its recent Q2 FY2027 earnings report (which occurred on August 26, 2026), and broader web search reports on AI capex trends, hyperscaler spending, and any emerging concerns or confirmations of this story. Let's first pull the public market data for NVDA to see the latest financials, valuation, and summary. I will use the `market_view` tool for ticker NVDA.

Let's search for broader macro and sector views if needed, but the primary question is: "Is Nvidia's AI capex story still intact?" Let's do a web search on Nvidia's latest quarterly results (Q2 FY2027 reported on August 26, 2026), Big Tech capex commitments, and any subsequent developments in the last week. The current date is August 29, 2026. Let's search for: `Nvidia Q2 FY2027 earnings capex` or `Nvidia capex story intact` or `Nvidia Q3 guidance capex August 2026`.

Ah, look at this! `Kress said capex among the "top five hyperscalers" is expected to increase to $1.3 trillion next year from $800 billion in 2026.` Wait, this is an incredible piece of data. Let's look up the CNBC live updates or search for Colette Kress's comments during the Q2 FY2027 call on August 26, 2026. Let's search for: `Nvidia Q2 2027 earnings call transcript "top five" OR "hyperscalers" OR "Kress" OR "$1.3 trillion"`. This is very specific. Let's check it.

Ah! The first search result says: `With cloud industry backlog now greater than 2 trillion, CapEx by the top five hyperscalers is expected to reach nearly 800 billion in 2026 and 1.3 trillion in ...` Wait, it says "NVIDIA Corp. Q1 F2027 Earnings Call Transcript". Let's fetch that or check if there's a Q2 FY2027 earnings call transcript with the exact quotes. Let's search for: `Nvidia Q2 FY2027 earnings call transcript` or `Nvidia Q2 2027 transcript capex` to fetch the real details of the August 26, 2026 call. Let's do a search.

Let's fetch the page: `https://www.apex.exchange/blog/detail/apex-insights-nvda-q2earnings` to read the exact details of Nvidia's Q2 FY2027 earnings and how it relates to the AI capex story being intact. This is a highly relevant, fresh article from the current week (August 2026). Let's fetch it.

This is a goldmine of information! Let's analyze what we have here. We have: 1. Nvidia reported Q2 FY2027 results on Wednesday, August 26, 2026. - Revenue: $96.22 billion (beat company guide of $91B and consensus of $91.9B or $92.07B), up 106% YoY. - Data Center revenue: $89.0 billion (92% of total). - Net income: $59.69 billion. - EPS (non-GAAP): $2.22 (vs $2.09 estimate, beat). - Q3 FY2027 Guidance: $108.0 billion. 2. The most ground-breaking disclosure: Nvidia's management guided the whole of fiscal 2028 to roughly 70% revenue growth! (Against a street consensus modeling 44% or ~$570B). This implies FY2028 revenue in the region of $690 billion to $700 billion. - Jensen Huang stated that demand is greater than 70% and that supply is the constraint, not the order book. - Colette Kress (CFO) stated that capital expenditure among the "top five hyperscalers" is expected to increase to $1.3 trillion next year (2027) from about $800 billion in 2026! Let's verify this quote: "Colette Kress added that capital expenditure among the top five hyperscalers should rise to 1.3 trillion dollars next year from about 800 billion in 2026." Wait! Let's check the previous note `[[big-tech-capex-reaches-710b-in-2026]]`. In that note, the title was "Big Tech's AI Capex Surpasses $760 Billion in 2026 on Track for $1 Trillion in 2027 as Nvidia Guides to $108 Billion Q3 Revenue". Wait, let's see what the exact figures are. Let's do a search or fetch some more details. 3. The supply commitments and margin squeeze: - Total supply commitments more than doubled from $119 billion to $279 billion in one quarter, primarily to procure memory (HBM/DRAM). - Gross margin was 75.0% in Q2, guided to ~74% in Q3, and is expected to bottom at 71% to 72% in Q4 FY2027 due to expensive memory (HBM). - Three points of gross margin are being transferred to memory suppliers (Samsung, SK Hynix, Micron). 4. Selective credit enhancement / circular financing: - Colette Kress teased "selective credit enhancement for nearly two gigawatts of compute for a frontier lab" and acknowledged some will call it circular financing. This is highly relevant to our notes on off-balance-sheet financing and the OpenAI Ohio PORTS-Pike campus ($105B credit guarantee) or other neocloud deals! Let's do a quick web search to see if we can find more details about Colette Kress's comment on the $1.3 trillion hyperscaler capex, selective credit enhancement, and the circular financing aspect. Let's search for: `Nvidia Q2 2027 "selective credit enhancement" OR "circular financing" OR "frontier lab"`. This is extremely interesting! Let's search.

Oh my god! Look at this PDF link: `https://investor.nvidia.com/files/content_files/TRANSCRIPT_-NVIDIA-Corp-NVDA-US-Q2-2027-Earnings-Call-26-August-2026-5_00-PM-ET.pdf` Wait, let's fetch this PDF or search more details about the transcript. Let's see if we can search for the exact text in this transcript to get the verbatim quotes from Colette Kress. Let's search for: `site:investor.nvidia.com/files/content_files/ "selective credit enhancement" OR "circular financing" OR "frontier AI labs" OR "1.3 trillion"`. This will give us the exact text in the official transcript. Let's do it! This is beautiful.

Let's fetch this PDF! It's a PDF but let's see if the tool can fetch it or if we can get the text. Wait, let's search for the exact text on google to make sure we have the full quotes. The PDF is at `https://investor.nvidia.com/files/content_files/TRANSCRIPT_-NVIDIA-Corp-NVDA-US-Q2-2027-Earnings-Call-26-August-2026-5_00-PM-ET.pdf`. Let's try fetching it with `web_fetch`. If it has a PDF parser, it will return the text. Let's try.

Ah, fetching the PDF directly timed out. That's fine! We can use `web_search` to find the exact quotes from the transcript that are quoted on other sites, or search for pages that have the transcript in HTML. Let's search for: `"With cloud industry backlog now greater than" "top-five hyperscalers"` or `"First, we've invested nearly $50 billion in the frontier AI labs."` to find websites with the full text.

Let's fetch `https://io-fund.com/ai-stocks/nvidia-fiscal-q2-answer-to-losing-market-share` to get more details on Nvidia's Q2 results, market share, and the capex story. This looks like a great source. Let's fetch it.

This is an incredibly detailed and rich article that gives us EXACTLY what we need to answer the brief: "Is Nvidia's AI capex story still intact?" Let's break down the key elements from the article and our previous notes, and map them to our findings: 1. **The Capex Story is Not Only Intact, But Accelerating Beyond Consensus:** - On the Q2 FY2027 earnings call (August 26, 2026), CFO Colette Kress declared: *“With cloud industry backlog now greater than $2 trillion, CapEx by the top five hyperscalers is expected to reach nearly $800 billion in 2026 and $1.3 trillion in 2027.”* - This $1.3T projection for 2027 is a massive $200 billion (or 18%) above the current Wall Street consensus of around $1.1 trillion. - This directly answers the brief: Yes, the AI capex story is not just intact; it is accelerating and significantly outperforming Wall Street expectations. 2. **First-Ever Year-Ahead Revenue Guidance (70% Growth for FY2028):** - Nvidia broke its historical guidance practice by providing a full-year revenue guide for FY2028, projecting **approximately 70% growth** (bringing revenue to ~$691B to $700B), compared to the Street consensus of 44% (~$570B). - This was a strategic move to silence AI "bubble" critics. Jensen Huang emphasized that demand is higher than 70% and that the 70% guide is a function of supply visibility rather than demand constraints. 3. **The Customer Base is Broadening Beyond Hyperscalers (ACIE Segment):** - Nvidia's AI Cloud, Industrial, and Enterprise (ACIE) segment is growing at 138.5% YoY, reaching $40.3 billion in Q2 FY2027, compared to the hyperscaler segment at $48.7 billion (growing at 101.2% YoY). - ACIE grew 25% QoQ compared to hyperscalers at 13% QoQ. At this rate, ACIE is on track to surpass hyperscalers in 5-6 quarters (or as soon as 2 quarters if current momentum holds), proving that Nvidia does not rely solely on Big Tech. 4. **Revenue and Performance Density per Gigawatt (The Power Bottleneck Solution):** - As power constraints limit data center expansion (a major bottleneck), Nvidia is dramatically increasing the revenue generated per gigawatt of power: - Hopper: $18 billion per gigawatt - Grace Blackwell: $25 billion per gigawatt - Vera Rubin: $40 billion per gigawatt - The Vera Rubin NVL72 platform delivers a **10X increase in inference throughput per megawatt** compared to the GB200 (GB200 achieves ~80,000 TPS/MW, while Vera Rubin achieves ~800,000 TPS/MW running DeepSeek R1). This allows customers to generate far more tokens and revenue within the same physical power envelope. 5. **The Scale of "Circular Financing" and Guarantees:** - Nvidia disclosed that it has **$164.5 billion in land, power, shell guarantees, and AI cloud agreements**. - This includes the massive **$105 billion credit guarantee** for OpenAI's PORTS-Pike campus in Ohio (4.25 GW Phase 1, plus 3.75 GW option). - Nvidia also has $6 billion to $8 billion annually in AI cloud agreement guarantees from FY2028 through FY2031. - Some critics label this "circular financing" (since Nvidia is providing credit support to entities that buy its chips), but Nvidia's management argues they are individual commercial transactions with highly productive, creditworthy labs. With projected FY2028 free cash flow approaching $310 billion, Nvidia can cover these obligations multiple times over. 6. **Margin Compression Due to High Bandwidth Memory (HBM) Costs:** - Nvidia's gross margin was 75.0% in Q2, but is guided to ~74% in Q3 and expected to bottom at 71% to 72% in Q4 FY2027. - This is due to rising memory costs. Nvidia's total supply commitments more than doubled from $119 billion to **$279 billion** in a single quarter, primarily to secure memory. This represents three percentage points of gross margin being transferred to DRAM/HBM suppliers (Samsung, SK Hynix, Micron). Wait, let's review the existing notes to see which slugs are affected and how we should update them: - `[[big-tech-capex-reaches-710b-in-2026]]` (current title: "Big Tech's AI Capex Surpasses $760 Billion in 2026 on Track for $1 Trillion in 2027 as Nvidia Guides to $108 Billion Q3 Revenue"). This is a perfect match for updating with the new $1.3 trillion hyperscaler projection and the 70% FY2028 revenue guidance. Let's update this note. - `[[off-balance-sheet-ai-infrastructure-financing-models]]` (or `[[nvidia-record-q1-results-and-trillion-dollar-order-book]]`? Let's check the slugs of our notes). Wait, the slugs of our notes are: - `nvidia-rtx-spark-pc-market-expansion` - `nvidia-record-q1-results-and-trillion-dollar-order-book` - `off-balance-sheet-ai-infrastructure-financing-models` - `nvidia-lancium-power-investment-and-energy-bottleneck` - `nvidia-server-price-hikes-and-margin-protection` - `big-tech-capex-reaches-710b-in-2026` - `nvidia-poolside-seven-billion-deal-and-reverse-acquihire` - `custom-silicon-and-datacenter-hardware-competition` - `ai-monetization-proofs-and-infrastructure-bottlenecks` - `nvidia-sk-group-500b-alliance-and-vera-rubin` - `nvidia-vera-cpu-agentic-infrastructure-shift` - `gpu-specialized-clouds-and-strategic-co-investment` - `spacex-neocloud-disruption-and-google-colossus-lease` - `nvidia-twenty-billion-groq-deal-and-vera-rubin-integration` Let's check if there are other notes we should update. - `nvidia-server-price-hikes-and-margin-protection` can be updated with the Q2 FY2027 gross margin details (75.0% Q2, guided ~74% Q3, bottoming at 71%-72% in Q4 FY2027) and the supply commitments doubling from $119B to $279B to secure memory. - `nvidia-record-q1-results-and-trillion-dollar-order-book` can be updated with the Q2 FY2027 financial results ($96.22B revenue, $59.69B net income, and the 70% FY2028 growth bombshell, as well as the $164.5 billion in guarantees including the $105B OpenAI credit guarantee). - Wait, let's also look at the threads/watches to see if we can resolve any or record events! Let's look at the open watches: - `Nvidia FY2028 Revenue Growth (Guided ~70%)` (fire_date: 2028-02-25) — This is scheduled for the future (when FY2028 ends), so it doesn't fire now. - `Nvidia Q4 FY2027 Gross Margin Bottoming (71%-72%)` (fire_date: 2027-02-25) — This is scheduled for the future, so it doesn't fire now. - `Nvidia >15% Server Price Hikes Effective and Gross Margin Impact` (fire_date: 2027-01-15) — This is scheduled for the future, so it doesn't fire now. - Wait, let's check `Alphabet $40B At-the-Market (ATM) Stock Program Execution`, `Aggregate Hyperscaler Free Cash Flow Trajectory (2026–2028)`, `Nvidia $500B Wall Street Compute Financing Platform Capital Deployment`. Wait, did any watch fire this cycle? Let's check the dates. Today is August 29, 2026. Let's check the other watches to see if there is any watch that has fired or needs an event recorded. Wait, there is a watch: `SB Energy IPO and Nvidia $1.5B Anchor Investment` (fire_date: 2026-09-30). That's in the future. What about `Google Cloud Q3 2026 Operating Margin`? That's October 2026. What about `Google 110,000-GPU Colossus 2 Lease Commencement`? October 2026. What about `Oracle 50,000-GPU AMD Instinct Helios Supercluster Deployment`? September 30, 2026. What about `RTX Spark laptops and desktops retail launch`? October 1, 2026. So no watches have fired yet since they are all set for dates after August 29, 2026. Wait, let's write or update our findings! Let's see: we should update the following notes: 1. `big-tech-capex-reaches-710b-in-2026` -> Update with the Q2 FY2027 earnings details, the $1.3 trillion hyperscaler capex projection for 2027, the 70% FY2028 growth bombshell, and the transition from Hopper ($18B/GW) to Grace Blackwell ($25B/GW) to Vera Rubin ($40B/GW). 2. `nvidia-server-price-hikes-and-margin-protection` -> Update with the gross margin guidance (75% Q2, guided ~74% Q3, bottoming at 71%-72% in Q4 FY2027) and the supply commitments doubling from $119B to $279B to secure memory. 3. `nvidia-record-q1-results-and-trillion-dollar-order-book` -> Update with the Q2 FY2027 financials ($96.22B revenue, $59.69B net income), the $164.5 billion in guarantees (including the $105B OpenAI credit guarantee), and the debate over "circular financing." Let's carefully verify if we have everything. Wait, let's look at the exact title and body of `big-tech-capex-reaches-710b-in-2026`. Let's search for the text of `big-tech-capex-reaches-710b-in-2026` or retrieve it if we can. Wait, we can read the notes, but `read_notes` only gives us a preview. Ah, can we fetch the note text by writing to the same slug? Yes, `write_note` will overwrite/update the note. But wait, can we see the previous content? Wait, let's see if we can find any other tool to read the note body. No, `read_notes` only returns slug, title, preview, updated_at, and source_count. That is fine, we can write a comprehensive update that covers the topic beautifully and integrates the new findings. Let's double-check the exact details of the Q2 FY2027 earnings call to make sure our quotes are perfect. Let's review the quotes from Colette Kress: - *"With cloud industry backlog now greater than $2 trillion, CapEx by the top five hyperscalers is expected to reach nearly $800 billion in 2026 and $1.3 trillion in 2027."* - *"First, we've invested nearly $50 billion in the frontier AI labs. For another frontier AI lab, we will provide selective credit enhancement for nearly 2 gigawatts of compute. We recognize the scale of this support, and we know some will call this circular financing. We see it differently."* - *"Meanwhile, because NVIDIA's compute is so productive, the tokens they are generating, the GPU hours they are renting out is insanely profitable as you know. Their margins are fantastic."* And from Jensen Huang: - *"In the case of Hopper, we were at about $18 billion per gigawatt. For Grace Blackwell, we are about $25 billion per gigawatt. For Vera Rubin, it is about $40 billion per gigawatt."* Let's write the updated findings. First, let's update `big-tech-capex-reaches-710b-in-2026` with a new title that reflects the $1.3 trillion capex projection and the 70% growth bombshell. Wait, the guidelines say: - "No YAML frontmatter — the title is the first `# ` heading and the slug is the slug parameter you pass." - "Every note, with NO exception, must cite a real source you consulted this cycle." - "One finding = ONE coherent subject tracked under one stable slug across cycles — a developing story, a running debate, or an entity's trajectory — NOT a fresh single-story-of-the-day note each cycle." - "To link ANOTHER finding from a note body, write its slug as a wikilink — `[[its-slug]]`." Let's check the current title of `big-tech-capex-reaches-710b-in-2026`: `Big Tech's AI Capex Surpasses $760 Billion in 2026 on Track for $1 Trillion in 2027 as Nvidia Guides to $108 Billion Q3 Revenue` Wait, let's keep the slug `big-tech-capex-reaches-710b-in-2026` but we can write a beautifully updated note body. Let's draft it. Let's do this for `big-tech-capex-reaches-710b-in-2026`. Let's write the note.

I will now update the existing finding under the slug `big-tech-capex-reaches-710b-in-2026` to reflect the monumental disclosures from Nvidia's Q2 FY2027 earnings call, including the $1.3 trillion hyperscaler capex projection for 2027 and the full-year FY2028 70% revenue growth guidance.

I will now update the existing finding under the slug `nvidia-server-price-hikes-and-margin-protection` to reflect the gross margin trajectory disclosed in the Q2 FY2027 report, including the memory cost headwinds, the doubling of supply commitments to $279 billion, and the margin bottoming guided for Q4 FY2027.

I will now update the existing finding under the slug `nvidia-record-q1-results-and-trillion-dollar-order-book` to reflect the Q2 FY2027 financial results ($96.22B revenue, $59.69B net income), the $164.5 billion in guarantees (including the $105B OpenAI credit guarantee), and the debate over "circular financing."

I will now check if there are any other notes or threads to resolve or record. Wait, let's look at the threads we have. Is there any thread we can resolve? Let's see: we don't have any specific open thread that has been fully resolved (e.g. the watches are all forward-looking). Wait, let's double check if we have any active thread that we can resolve. Wait, let's look at the thread list: - `Nvidia FY2028 Revenue Growth (Guided ~70%)` (fire_date: 2028-02-25) - This is a watch. - `Nvidia Q4 FY2027 Gross Margin Bottoming (71%-72%)` (fire_date: 2027-02-25) - This is a watch. - `Oracle Project Jupiter Gas Pipeline Green Chile Project Target Completion` (fire_date: 2027-02-01) - This is a watch. - `OpenAI Ohio PORTS-Pike Technology Campus Phase 1 Live` - This is a watch. - `Lancium Grid Hookup Milestones and Stargate 1 Chip Deployment` - This is a watch. - `Nvidia >15% Server Price Hikes Effective and Gross Margin Impact` (fire_date: 2027-01-15) - This is a watch. - `SB Energy IPO and Nvidia $1.5B Anchor Investment` (fire_date: 2026-09-30) - This is a watch. - `Hyperscaler SPV and Corporate Bond Spread Widening` - This is a watch. - `Aggregate Hyperscaler Free Cash Flow Trajectory (2026–2028)` - This is a watch. - `Nvidia $500B Wall Street Compute Financing Platform Capital Deployment` - This is a watch. - `Alphabet $40B At-the-Market (ATM) Stock Program Execution` - This is a watch. - `SK Telecom 2GW AI Data Center First Facility Live` (fire_date: 2027-12-31) - This is a watch. - `SpaceX Starmind Satellite Orbital Data Center Launch` (fire_date: 2027-06-30) - This is a watch. - `HBM Memory Component Pricing and Supply Bottlenecks` - This is a watch. - `Meta Cloud Infrastructure and Compute Leasing Commercialization` - This is a watch. - `Google Cloud Q3 2026 Operating Margin and Third-Party Capacity Impact` (fire_date: 2026-10-25) - This is a watch. - `Google 110,000-GPU Colossus 2 Lease Commencement` (fire_date: 2026-10-15) - This is a watch. - `Oracle 50,000-GPU AMD Instinct Helios Supercluster Deployment` (fire_date: 2026-09-30) - This is a watch. - `AMD Instinct MI455X and Helios Rack mass production ramp` (fire_date: 2027-06-30) - This is a watch. - `Nvidia Kyber NVL144 rack commercial shipment verification` (fire_date: 2027-12-31) - This is a watch. - `Qualcomm Dragonfly C1000 commercial availability` (fire_date: 2028-01-15) - This is a watch. - `Qualcomm HBC Gen 1 and AI250 commercial sampling` (fire_date: 2027-06-15) - This is a watch. - `OpenAI Jalapeño chip initial production deployment` (fire_date: 2026-12-15) - This is a watch. - `Oracle $40B Debt and Equity Financing Plan for FY2027` - This is a watch. - `Anthropic public S-1 filing and IPO debut` (fire_date: 2026-11-15) - This is a watch. - `Meta Platforms potential equity raise announcement and pricing` - This is a watch. - `Nebius 850 MW active power capacity by YE 2026` (fire_date: 2026-12-31) - This is a watch. - `RTX Spark laptops and desktops retail launch` (fire_date: 2026-10-01) - This is a watch. All of these are forward-looking watches, and none of them have been triggered yet (since today is August 29, 2026, and these have future fire dates or ongoing triggers). Let's call `finish_cycle` to complete this research cycle. I have updated all the relevant notes with the latest, high-fidelity findings from the August 26, 2026 Q2 FY2027 earnings call, directly addressing the user's brief. No new watches or threads need to be recorded at this stage, as the existing 28 watches cover all aspects of the forward-looking thesis perfectly. Let's finish the cycle.

I have completed the research cycle on the topic of whether Nvidia's AI capex story is still intact. ### Summary of Findings 1. **The Capex Story is Accelerating Beyond Consensus:** * During the Q2 FY2027 earnings call on August 26, 2026, CFO Colette Kress revealed that the cloud industry backlog has surpassed **$2 trillion**, and that capital expenditure among the top five hyperscalers is now expected to reach nearly **$800 billion in 2026** and surge to **$1.3 trillion in 2027**. * This $1.3 trillion figure sits more than **$200 billion (or 18%) above** the previous Wall Street consensus of $1.1 trillion. 2. **First-Ever Year-Ahead Revenue Guidance (70% Growth for FY2028):** * Nvidia broke its historical guidance practice by providing a full-year revenue guide for FY2028, projecting **approximately 70% growth** (implying annual revenue of $690 billion to $700 billion, compared to consensus estimates of $570 billion). * Jensen Huang emphasized that this guide is a function of supply chain visibility rather than demand, which remains significantly higher than the 70% baseline. 3. **Broadening of Demand Beyond Hyperscalers (ACIE Segment):** * Nvidia's "AI Cloud, Industrial and Enterprise" (ACIE) customer segment is growing at **138.5% YoY**, reaching $40.3 billion in Q2 FY2027, compared to the hyperscaler segment at $48.7 billion (growing at 101.2% YoY). * ACIE grew 25% QoQ compared to hyperscalers at 13% QoQ. At this rate, ACIE is on track to surpass hyperscalers as Nvidia's largest revenue contributor within 5 to 6 quarters, demonstrating that the AI buildout has successfully broadened beyond Big Tech. 4. **Maximizing Revenue per Gigawatt (The Power Bottleneck Solution):** * As physical power availability and grid capacity become the primary bottlenecks for data center expansion, Nvidia is shifting its core architecture KPI to "tokens per watt" and maximizing revenue density per gigawatt (GW) of deployed power: * **Hopper Platform:** Generates ~$18 billion in revenue per gigawatt. * **Grace Blackwell Platform:** Generates ~$25 billion in revenue per gigawatt. * **Vera Rubin Platform:** Generates ~$40 billion in revenue per gigawatt. * By delivering 50X more throughput per megawatt and a 35X lower token cost relative to Blackwell Ultra, the upcoming Vera Rubin platform (scheduled to ramp in the January quarter) allows neoclouds and hyperscalers to generate up to **10X more inference tokens per megawatt** (e.g., CoreWeave's measured performance of 800,000 TPS/MW on DeepSeek R1 using Vera Rubin NVL72 versus 80,000 TPS/MW on the GB200). 5. **The Scale of "Circular Financing" and Guarantees:** * Nvidia disclosed that it has **$164.5 billion in total financial guarantees** (including land, power, shell guarantees, and AI cloud agreements). * This includes the massive **$105 billion credit guarantee** for OpenAI's PORTS-Pike campus in Ohio (4.25 GW Phase 1, plus 3.75 GW option). * Some critics label this "circular financing" (since Nvidia is providing credit support to entities that buy its chips), but Nvidia's management argues they are individual commercial transactions with highly productive, creditworthy labs. With projected FY2028 free cash flow approaching $310 billion, Nvidia can cover these obligations multiple times over. 6. **Margin Compression Due to High Bandwidth Memory (HBM) Costs:** * Nvidia's gross margin was 75.0% in Q2, but is guided to ~74% in Q3 and expected to bottom at **71% to 72% in Q4 FY2027** due to rising memory costs. * This is due to rising memory costs. Nvidia's total supply commitments more than doubled from $119 billion to **$279 billion** in a single quarter, primarily to secure memory. This represents three percentage points of gross margin being transferred to DRAM/HBM suppliers (Samsung, SK Hynix, Micron). ### Updated Notes * `[[big-tech-capex-reaches-710b-in-2026]]` — Updated with the new Q2 FY2027 disclosures, the $1.3 trillion hyperscaler capex projection for 2027, the 70% FY2028 growth bombshell, and the transition from Hopper to Grace Blackwell to Vera Rubin. * `[[nvidia-server-price-hikes-and-margin-protection]]` — Updated with the gross margin guidance (75% Q2, guided ~74% Q3, bottoming at 71%-72% in Q4 FY2027) and the supply commitments doubling from $119B to $279B to secure memory. * `[[nvidia-record-q1-results-and-trillion-dollar-order-book]]` — Updated with the Q2 FY2027 financials ($96.22B revenue, $59.69B net income), the $164.5 billion in guarantees (including the $105B OpenAI credit guarantee), and the debate over "circular financing."