MrFlower_XingChen

#NvidiaAndOpenAISecure12GWCompute
NVIDIA, OpenAI, and the 12 Gigawatt Computing Power Revolution

The artificial intelligence industry has reached a turning point. On August 17, 2026, NVIDIA and OpenAI formally announced a strategic partnership to deploy at least 10 gigawatts of NVIDIA systems for OpenAI's next-generation AI infrastructure. Combined with OpenAI's existing and planned NVIDIA deployments, the total secured computing capacity now stands at approximately 12 gigawatts, with the potential to expand to 16 gigawatts if NVIDIA extends its commitment in Ohio.

To understand why this matters, we must first understand what computing power, or compute, actually means in the context of modern AI.

Compute refers to the raw processing capability that powers artificial intelligence systems. Think of it as the engine room of the AI economy. When you interact with a chatbot, when an image is generated from a text prompt, when a medical diagnosis is assisted by machine learning, or when an autonomous vehicle makes a split-second decision, all of these actions depend on massive amounts of computational throughput. This throughput is measured in gigawatts because the sheer scale of hardware required to train and operate frontier AI models consumes electricity on the level of a mid-sized city.

A single gigawatt is roughly the electrical output of a large power plant. Twelve gigawatts is enough to power around nine million average American homes simultaneously. The fact that we are now discussing AI infrastructure in these terms tells you how dramatically the industry has scaled in a very short period.

The core of the training process works like this. AI models are not born intelligent. They are built through a process called training, where enormous volumes of data are fed through sophisticated neural networks, which are collections of mathematical operations arranged in layers. These networks learn patterns by adjusting billions, and increasingly trillions, of internal parameters through repeated exposure to data. Each adjustment requires computation, and the largest models require the equivalent of thousands of specialized processors running for months to complete just one training run.

Once a model is trained, it must be deployed, or run in production, to serve users. Every request you send to an AI assistant triggers a forward pass through the network, which again consumes significant computational resources. As companies scale their AI products to millions of users, the demand for inference compute grows exponentially.

NVIDIA has positioned itself at the center of this ecosystem through its graphics processing units, or GPUs. While originally designed for rendering video game graphics, GPUs turned out to be exceptionally well suited to the parallel mathematical operations that neural networks require. Over the past decade, NVIDIA evolved from a gaming hardware company into the single most important supplier of AI infrastructure on the planet.

OpenAI, for its part, has been the driving force behind the current wave of generative AI. From the breakthrough of ChatGPT, which brought conversational AI to hundreds of millions of people, to subsequent frontier models that have pushed the boundaries of reasoning, OpenAI's computing demands have grown at a staggering pace. Industry estimates suggest OpenAI's annual computing bill could reach as high as 350 billion dollars in the coming years.

This is precisely the problem the new partnership addresses. Building AI at scale requires massive, long-term commitments to power generation, physical infrastructure, and hardware supply. You cannot simply walk into a store and buy a data center. You need land, permitting, electrical substations, cooling systems, and a guaranteed supply of the world's most advanced processors.

The partnership unfolds around a landmark facility in Pike County, Ohio. This site, known as the PORTS-Pike Technology Campus, is being developed by SB Energy, a SoftBank-backed company that specializes in power-first infrastructure development. NVIDIA has agreed to become the exclusive provider of AI compute for the site and has invested 1.5 billion dollars directly into SB Energy. OpenAI has agreed to secure approximately 8 gigawatts of computing capacity at the campus.

NVIDIA's credit support for the project is capped at 105 billion dollars, covering the initial 4.25 gigawatts of capacity construction, with an option to extend coverage to the remaining 3.75 gigawatts. The design of the deal, which NVIDIA CEO Jensen Huang described as a land, power and shell structure, allows the site to support multiple upgrade cycles. Each hardware generation at the campus could involve roughly 1.5 million NVIDIA GPUs and generate between 150 and 200 billion dollars in revenue. The campus is designed to operate for 20 years, with each new generation of NVIDIA infrastructure delivering more intelligence and better performance without requiring the entire facility to be rebuilt.

Beyond the Ohio campus, SB Energy and SoftBank plan to build at least 10 gigawatts of new energy generation to support the broader development. They also intend to invest at least 4.2 billion dollars in regional grid infrastructure in partnership with AEP Ohio. On the power generation side, a massive 9.2 gigawatts of new gas-fired power is ultimately envisioned for the Ohio region, with U.S. officials reporting that Japan is funding part of the initiative under the 2025 trade and investment agreement.

Jensen Huang was quick to address a question that naturally arises with deals of this magnitude, namely whether the arrangement constitutes circular financing. In a post on X, Huang rejected this characterization directly. He argued that OpenAI will pay the lease, and that NVIDIA is using its scale and long-term visibility to enable the site to happen. He estimated that OpenAI's broader infrastructure plans could represent roughly 600 billion dollars in NVIDIA compute through 2030.

Sam Altman, CEO of OpenAI, described the site as huge, with enough computing power to help millions of people use AI to do things we can only start to imagine today, from finding new medicines to starting businesses and solving hard problems. OpenAI is also contributing 40 million dollars to a community benefits fund previously announced by SB Energy.

To grasp the strategic significance of 12 gigawatts, it helps to look at the broader industry trajectory. By 2030, global power demand for data centers is projected to reach approximately 220 gigawatts. That means the combined NVIDIA and OpenAI capacity represents a meaningful fraction of the entire projected global demand, and it does so years ahead of schedule. The companies are not simply reacting to current demand, they are building ahead of it, securing the land, power, and hardware that will be needed years from now.

There are several dimensions to this deal that deserve careful attention.

The first is the physical nature of the AI race. For years, discussions about AI focused on algorithms, datasets, and software breakthroughs. This partnership makes clear that the new battleground is physical infrastructure. Whoever controls reliable access to power, land, and advanced chips controls the pace of AI development. The deal effectively locks in NVIDIA as the exclusive supplier for one of the largest AI facilities ever conceived, and it cements OpenAI's access to the world's most advanced processors for years to come.

The second dimension is energy. AI is becoming one of the largest drivers of electricity demand in the world. A single frontier model training run can consume as much electricity as hundreds of thousands of homes use in a day. The global push for data center power has already affected energy markets, utility planning, and even international trade negotiations. The NVIDIA and OpenAI commitment, built on a power-first philosophy, acknowledges that energy supply is the binding constraint on AI growth. By partnering with SB Energy and SoftBank, the companies are treating power generation as a first-class component of AI strategy rather than an afterthought.

The third dimension is economic structure. This deal demonstrates a new model of AI financing, where hardware suppliers, infrastructure developers, cloud customers, and energy companies are deeply intertwined. NVIDIA is providing credit support, investing in the developer, and guaranteeing hardware supply. OpenAI is committing to long-term leases. SB Energy and SoftBank are building power generation. AEP Ohio is upgrading the grid. This interconnected structure raises legitimate questions about what happens if any single component fails, but it also reflects the reality that projects of this scale cannot be built by any one company acting alone.

The fourth dimension is competition. The United States is engaged in a global race to lead AI development, and infrastructure is the currency of that race. Projects like this one, along with similar commitments from other major technology companies, are reshaping how nations think about energy policy, grid modernization, and industrial development. Whoever builds computing capacity fastest will be best positioned to define the next era of technology.

The fifth dimension is talent and community. Projects of this scale create tens of thousands of well-paying jobs, attract skilled workers to regions that have historically struggled with economic decline, and drive demand for construction, engineering, power systems, and software development. Southern Ohio, a region that has long shaped America's industrial future, is now poised to become a major hub of the AI economy.

None of this is without risk. The scale of capital deployment is unprecedented, and the market for AI services is still young. Questions remain about when and how AI companies will generate sufficient revenue to justify infrastructure investments of this magnitude. There are legitimate concerns about whether the industry is overbuilding capacity relative to near-term demand, and about the concentration of power in a small number of companies that control both hardware supply and energy infrastructure.

Yet the direction of travel is unmistakable. Compute is the new oil, and the companies that control it are building the foundations of the next industrial revolution. The NVIDIA and OpenAI partnership, securing roughly 12 gigawatts of computing power with a path to 16, is not just a business deal. It is a statement about the future, a bet that intelligence, in its most advanced machine form, will become one of the most valuable resources humanity has ever produced.

For ordinary users, the implications are simpler but no less profound. Every advance in AI capabilities, every improvement in chat assistants, coding tools, image generators, medical research aids, and scientific discovery engines, traces its origins back to infrastructure that looks like this. The 12 gigawatts being secured today will power the tools and services that millions of people will use in the years ahead, often without ever knowing how much engineering, energy, and capital made it possible.

The partnership between NVIDIA and OpenAI is a defining moment in the history of computing. It represents the largest coordinated commitment to AI infrastructure ever undertaken, and it sets the stage for the next generation of artificial intelligence, one that will be smarter, faster, and more deeply woven into the fabric of daily life than anything we have seen before.

Powering the future of intelligence, one gigawatt at a time.
@Gate_Square

#Japan5YearYieldHitsRecordHigh
JAPAN'S BOND MARKET JUST SENT A SHOCKWAVE THROUGH GLOBAL FINANCE — AND MOST PEOPLE HAVE NO IDEA WHAT IT MEANS
Something historic is unfolding in Tokyo right now, and it is not getting the attention it deserves from retail investors.
Japan's 5-year government bond yield has just surged to a record high of 2.16 percent, peaking at 2.18 percent in August 2026 — the highest level in history since this instrument's data began tracking. But this is not an isolated event. The entire Japanese yield curve is on fire.
The 2-year JGB yield has climbed to 1.69 percent, its loftiest level since May 1995. The benchmark 10-year yield has punched through to 2.94 percent, the highest since September 1996 — a full three decades. The 20-year is at 3.82 percent, the 30-year at 4.08 percent, and the 40-year has breached 4.14 percent, marking all-time highs since their debut in 2007 and 2008.
Let me put this in perspective for you. Twelve months ago, the 5-year yield was trading around 1.11 percent. Today it sits at 2.16 percent. That is a move of roughly 105 basis points — nearly a doubling — in a single year. The 10-year yield is up about 134 basis points year-over-year. These are not minor fluctuations. This is a structural repricing of Japanese sovereign debt, and it is happening in real time.
What is driving this historic surge? It is not one factor; it is a confluence of forces building for years.
First, the Bank of Japan has fundamentally changed its stance. After more than a decade of ultra-loose monetary policy, negative rates, and yield curve control that pinned long-term bond prices artificially, the BOJ has executed a dramatic about-face. In December 2025, it raised its short-term rates to the highest in three decades. In June 2026, it pushed the policy rate to 1 percent — a 31-year high. And the market is now pricing in roughly a two-in-three probability of another hike as soon as September.
Second, inflation has proven stickier than the central bank expected. Core inflation is running near or above the 2 percent target, and rising oil prices amid Middle East geopolitical tensions are adding fresh imported inflation pressure. When energy costs rise, they feed directly into consumer prices, and the BOJ cannot afford to look complacent.
Third, there is a fiscal credibility question that refuses to go away. Japan's debt-to-GDP ratio remains among the highest in the developed world. With the government signaling more spending on tax cuts and stimulus, investors are demanding a higher risk premium to hold Japanese paper.
Instead of buying Japanese government bonds this week, investors gave a clear thumbs-down signal, and yields — which move inversely to price — went parabolic.
Now here is the part most people miss. This is not just a Japan story. It is a global liquidity story with ripple effects across every asset class you care about.
When Japanese bond yields rise, Japanese institutions and the nation's massive pool of savings are drawn back home. Japan has historically been one of the largest buyers of US Treasuries and foreign assets. As domestic yields become more attractive, that capital rotation can pull money out of dollar assets, pressuring US Treasury prices and pushing yields higher globally.
In fact, this is not theoretical. In early August 2026, US Treasury Secretary Scott Bessent engaged in an unconventional joint currency intervention with Japan to support the ailing yen, which had fallen to a 40-year low against the dollar — precisely because officials feared that volatility in JGBs could spill over into the USD 29 trillion US Treasury market. If the world's most liquid bond market can be rattled by Japanese selling, every investor should be paying attention.
What does rising Japanese bond yield actually mean for markets?
For one, it signals that capital markets are demanding higher compensation for risk. A rising yield on a sovereign bond, especially one as safe as Japan's, tells you that real borrowing costs are climbing across the system.
For equities, the read-through is mixed but cautionary. Higher bond yields raise the discount rate applied to future corporate earnings, which mathematically reduces the present value of stocks — particularly growth and technology names that carry high valuations. This is why capital-intensive sectors and tech companies are often the first to feel the pain when yields spike.
For the yen, higher yields are actually supportive in theory — higher interest rates attract foreign capital. But the currency has been trapped in a 40-year-low zone against the dollar, and the BOJ's normalization has not yet been enough to reverse that trend. What the bond market is telling you is that the central bank is now forced to choose between defending the currency and accepting the domestic cost of higher rates.
For cryptocurrency markets specifically, this matters more than people realize. Bitcoin and digital assets are increasingly traded as a liquidity and risk-on proxy. When global bond yields rise and central bank tightening expectations harden, liquidity conditions tighten, and risk assets across the board feel the squeeze. Japanese capital — historically a meaningful participant in crypto flows, given the country's strong retail trading culture — can rotate toward JGBs when they offer compelling yields for the first time in decades. A 2.16 percent five-year yield is not going to set the world on fire, but for a market that has spent years earning essentially zero on their currency, it is a genuinely new variable.
Let me give you my honest read on where this goes next, because that is what you actually want to know.
Trading Economics macro models project the 5-year yield to end this quarter around 2.12 percent and drift toward 1.97 percent within twelve months. If that forecast holds, it suggests the market may be approaching a near-term peak, with yields expected to moderate as the most aggressive rate-hike expectations get priced in. But forecast models have a way of being humbled in unprecedented regimes.
The more immediate question is September. If the BOJ delivers the rate hike the majority of traders are now pricing, expect continued upward pressure on short and medium-term yields. If it surprises by staying pat, we could see a sharp reversal as positioning unwinds.
What should you actually do with this information?
Understand that we are living through the end of an era. The Japanese bond market has been one of the most reliable, most predictable corners of global finance for thirty years — yields pinned near zero, free money for Tokyo, and a stable hum in the background of every global portfolio. That era is over. The normalization is real, it is structural, and it is already reshaping how capital flows around the world.
For anyone holding leveraged positions in risk assets, rising global yields are a warning signal to respect position sizing and risk management. For anyone holding long-dated bonds of any kind, understand that the duration risk you are carrying is now being repriced on a global basis. And for anyone watching the yen, the dollar, or crypto, recognize that Japanese monetary policy is now a front-and-center macro driver in a way it has not been for a generation.
The takeaway is simple but profound: when the safest, most boring bond market in the world starts printing record yields, it is not noise. It is a signal. And smart investors pay attention to signals before they become headlines everyone else reads later.

#USD1FuturesZeroMakerFee
Understanding the USD1 Futures Opportunity: Zero Maker Fees That Actually Change the Game
Many traders believe that fees are just a small cost of doing business, a tiny friction that barely matters in the bigger picture. In reality, nothing could be further from the truth. Trading fees are the silent killer of profits. They eat into every single entry and exit you make, and over weeks and months they quietly drain away a meaningful portion of your gains. For anyone who trades regularly, the difference between a platform that charges full fees and one that offers genuine zero-cost trading is not a cosmetic detail. It is a structural advantage that shapes your entire edge.
This is exactly why the news coming out of Gate is so important right now. Gate has launched a set of USD1-denominated perpetual futures markets, and alongside that launch it has introduced a fee structure that deserves serious attention. Under this promotion, users across VIP tiers from VIP 0 up to VIP 16 can trade any USD1-margined perpetual contract with their maker orders charged at zero percent commission. That is not a discount and it is not a rebate. It is literally no fee at all for placing limit orders that provide liquidity to the market. Let that sink in, because it changes the economics of how you should approach these markets.
To appreciate why this matters, it helps to understand the difference between a maker and a taker. When you place an order that does not immediately match existing orders, and instead sits in the order book waiting to be filled, you are acting as a maker. You are supplying liquidity, and for that contribution most exchanges normally reward you with a reduced fee. When you instead take liquidity by hitting an existing order, you are a taker, and you are usually charged a higher rate. Under Gate's USD1 promotion, the maker fee is completely zero, and even the taker fee receives a seventy-five percent discount. That means even when you are forced to take liquidity quickly, your cost is dramatically lower than the standard rate you would expect on other instruments.
Let me give you a concrete sense of what this actually means in practice. Imagine you are trading a setup where you routinely place limit orders to build and exit your positions. On a typical contract market you might pay a small percentage on every fill, and while each individual charge looks tiny, it compounds quickly across a full day of active trading. Now imagine running that same strategy on a market where your maker orders cost absolutely nothing. Every single fill that happens because your order sat in the book and provided liquidity is completely free of commission. Over the course of a month, the savings can be substantial, especially if you are someone who scales positions or trades frequently.
There is another layer to this that makes the opportunity even more interesting. Gate launched nine separate USD1 perpetual markets covering a diverse range of instruments, including flagship crypto names like Bitcoin, Ethereum and Solana, as well as precious metals like gold and silver, and even some equities and indices. This is a broad lineup, and it means the zero maker fee benefit is not limited to a single asset class. Whether you are a crypto-focused trader or someone who likes to diversify across metals and other markets, you can access all of these venues under the same favorable fee treatment. That kind of breadth is rare to find combined with a genuine cost advantage.
Beyond the fee promotion, there is a smart financial angle worth mentioning for anyone who holds the underlying stablecoin itself. Gate is running a staking program on USD1 that offers an annualized yield, giving holders a way to earn passive return on their funds rather than letting them sit idle. This is a nice pairing with the futures opportunity. If you are already holding USD1 for trading purposes, you can earn yield on it at the same time, which means your idle capital is working for you instead of doing nothing while you wait for a trade setup.
Now, a few practical points worth keeping in mind so that you approach this properly. First, the zero maker fee applies to your limit orders that provide liquidity, so to take full advantage you should genuinely aim to place orders that rest in the book rather than blindly hitting the market. Second, be aware that only executed trades generate fees; if your order sits unfilled and is cancelled, no commission is charged at all, which is another reason to be patient and strategic with your entries. Third, always confirm the latest terms on the official platform, because promotional structures can evolve and you want to trade based on current information rather than assumptions.
There is also a broader lesson here that goes beyond any single promotion. The best traders do not just focus on finding winning directional calls. They also obsess over the cost side of the equation, because costs determine how much of your gross profit you actually keep. A platform that removes friction from your trading lets you compound cleaner returns, and that is a genuine competitive edge. When an exchange explicitly clears the path by making maker fees zero, it is essentially handing traders who plan their orders a real head start.
This is not a complicated story to grasp, but it is an easy one to underestimate. The difference between paying fees on every trade and paying nothing on your maker orders is the difference between working against the market and working with it. When your costs are lower, your breakeven is lower, your ability to hold positions with confidence is stronger, and your net results improve over time.
So if you have been trading perpetual futures and paying full price for the privilege, this is a moment worth paying attention to. Gate has put a genuinely favorable structure on the table, with zero maker fees across a broad set of USD1 markets, a deep taker discount, and the added benefit of yield on your stablecoin holdings. For anyone serious about their trading economics, this is an opportunity to reduce the friction that quietly erodes profits, and to trade with a cleaner edge.
My honest take is simple. Opportunities like this do not last forever, and the smart move is to understand the mechanism, plan your order placement to maximise the maker advantage, and take advantage of the window while it is open. Trade responsibly, manage your risk, and let the zero-fee tailwind do its part in strengthening your results. This is the kind of structural advantage that separates thoughtful traders from those who simply accept whatever costs the market puts in front of them.
Remember, the goal is always to keep more of what you earn. With maker fees at zero on these USD1 futures markets, Gate has given traders a cleaner runway to do exactly that. Understand it, use it wisely, and let your strategy benefit from a cost structure that is genuinely on your side.
@Gate_Square