To The Moon

Nvidia gave up its hard-earned Computex gains after sliding 3.62% on Wednesday, pulled down by Broadcom's post-earnings drop and Middle East-driven risk-off sentiment. This macro-shakedown dragged the entire AI chip sector into a temporary broad pullback. The "No-Cooling" Thesis (The [IDEA] Angle): Is it time to panic? Far from it. This dip is presenting us with a textbook fundamental mismatch. While macro sentiment pushed the price down, the physical tech industry is screaming the exact opposite. TSMC’s CEO just explicitly reiterated that global AI demand shows "no signs of cooling." Simultaneously, Bank of America (BofA) recalibrated its NVDA outlook upward, keeping the long-term compute narrative completely intact. My unique view here is that the market is mispricing short-term geopolit

When a sector bellwether like Broadcom stumbles and geopolitical risk-off sentiment spikes, algorithms ruthlessly flush out short-term leverage—dragging the entire AI chip sector down with it. If you are looking at this dip, here is a data-driven perspective on how to play the entry point: 1. The Fundamental Secular Moat is Intact As noted in ⁠image_9.png⁠, TSMC’s CEO explicitly reiterated that AI demand shows "no signs of cooling." TSMC is the ultimate bottleneck and truth-teller for global hardware demand. If their fabs are running at maximum capacity and Bank of America is actively recalibrating its structural outlook, this selloff is a function of temporary multiple digestion, not fundamental decay. 2. The Problem with Chasing Equity Dips Trying to time a precise bottom on a high-beta

Maybe I hope idk wat happend

Its all to expensive anyway

Buy the dip. Hard to time the market. What pays off is time in the market.  Any day, there can be news or just a tweet. Then the market will rocket up again.

A 3.6% pullback in NVIDIA is hardly unusual after its massive run. The key question is whether the investment thesis has changed. So far, AI infrastructure spending remains strong, hyperscalers continue investing aggressively, and TSMC's demand commentary suggests the underlying trend is intact. That said, I would not rush to chase every dip. Geopolitical tensions can create further volatility, and semiconductor stocks have become crowded trades. A deeper correction of 10-15% would offer a more attractive risk-reward profile than a routine 3-4% pullback. For long-term investors, gradual accumulation still makes sense. For those with limited cash, patience may be rewarded given stretched valuations and elevated market expectations. The AI compute story remains compelling, but sentiment can

All AI stocks are ass the point of even calling them "overvalued". They are basically sentiment factories. They are overvalued for the past 2 years. So the question is, are you going to stop trading? 

Read about Warren Buffet issued a stark warning. Better not to overpay for stocks.

Good stock. Upward trend worth investing 

Let get it to earn together 

This "zero-cost validation" massively appeals to heavy industries trying to minimize capital expenditure risk before putting construction money to work

🌟🌟🌟 $ARM Holdings(ARM)$ is the undisputed winner of the CPU war.  Why?  ARM designs the underlying architectural blueprint, licenses the instruction set and collects its licensing fees upfront. The consumer computing world is aggressively migrating to ARM architecture because the processing requirements for on-device local AI have pushed legacy x86 standards to their physical limits. ARM utilises Reduced Instruction Set Computer (RISC) architecture which breaks down software processing tasks into lean, hyper efficient instructions. ARM chips can deliver identical computing and Neural Processing Unit (NPU) speeds while consuming a fraction of the battery power. This makes ARM the mandatory choice for tech giants like Qualcomm, Apple and N

🚀 NVIDIA's Next Move Isn't About GPUs Anymore... It's About Owning the Entire AI Ecosystem Many investors still see NVIDIA as a "GPU company." I think that's becoming outdated. At Computex, Jensen Huang didn't just launch another chip. He revealed a strategy that attacks multiple trillion-dollar markets simultaneously: ✅ AI Datacenters (Blackwell, Rubin) ✅ AI Factories (DSX digital twin platform) ✅ Robotics & Autonomous Systems ✅ Enterprise AI Software ✅ AI PCs powered by NVIDIA silicon The most interesting development isn't the Windows PC itself. It's the idea that NVIDIA wants to become the operating system of the AI economy. Think about it: CUDA locks in developers DGX powers AI training Omniverse designs digital factories DSX simulates factories before construction AI PCs bring NVI

For years the semiconductor spotlight was on GPUs. But over the past six months, AI workloads have shifted from training to inference and agents (Agentic AI) — GPUs "compute," CPUs "manage": calling tools, routing sub-agents, tracking task completion. That's CPU work.

Yes, Intel and AMD can still hold most desktop dominance in the near term, but their moat is clearly weakening. NVIDIA’s threat is strongest in premium AI PCs, creator laptops, workstations, and developer machines, not ordinary office desktops yet. RTX Spark/Arm needs Windows software compatibility, OEM scale, pricing, battery proof, enterprise support, and gaming/app optimisation before it can truly replace x86 broadly.  For Intel, the risk is bigger: its desktop moat is already under pressure from weak execution, AMD competition, and ARM momentum. For AMD, the threat is less existential because it has stronger x86 performance credibility and can still ride AI PCs with Ryzen + Radeon/NPU. DSX is separate but important. It strengthens NVIDIA’s AI infrastructure ecosystem by helping bu

Waiting for benefits of price war.

The CPU-to-GPU ratio has shifted from ~1:2 to near 1:1 — a completely different standing. Market-size forecasts have doubled in six months: NVIDIA sees a $200B TAM by 2030; AMD pegs the server CPU market at $120B with its own share above 50%.

Nvidia is entering with strong Arm-based chips like Grace (data center) and upcoming Vera/PC designs to challenge x86 in AI servers and laptops. This boosts ARM's momentum in efficiency-focused workloads. However, AMD and Intel aren't losers yet. x86 remains dominant in legacy software, gaming, and high-performance desktops/servers. The market is fragmenting into specialized chips rather than one winner. ARM gains share (especially AI), but coexistence is likely. Nvidia adds competition for all. Too early to declare victors—performance, software ecosystem, and pricing will decide. (

It will benefit the consumers. With new players coming into the market, we will see a price war between the manufacturers and the sellers. Competition will bring down the price of the CPU at least for a period of time... Let's save up to buy a new PC

I think Nvidia is stands out all of the chip maker and going to stand tall out all of them....

Nvidia gave up its hard-earned Computex gains after sliding 3.62% on Wednesday, pulled down by Broadcom's post-earnings drop and Middle East-driven risk-off sentiment. This macro-shakedown dragged the entire AI chip sector into a temporary broad pullback. The "No-Cooling" Thesis (The [IDEA] Angle): Is it time to panic? Far from it. This dip is presenting us with a textbook fundamental mismatch. While macro sentiment pushed the price down, the physical tech industry is screaming the exact opposite. TSMC’s CEO just explicitly reiterated that global AI demand shows "no signs of cooling." Simultaneously, Bank of America (BofA) recalibrated its NVDA outlook upward, keeping the long-term compute narrative completely intact. My unique view here is that the market is mispricing short-term geopolit

When a sector bellwether like Broadcom stumbles and geopolitical risk-off sentiment spikes, algorithms ruthlessly flush out short-term leverage—dragging the entire AI chip sector down with it. If you are looking at this dip, here is a data-driven perspective on how to play the entry point: 1. The Fundamental Secular Moat is Intact As noted in ⁠image_9.png⁠, TSMC’s CEO explicitly reiterated that AI demand shows "no signs of cooling." TSMC is the ultimate bottleneck and truth-teller for global hardware demand. If their fabs are running at maximum capacity and Bank of America is actively recalibrating its structural outlook, this selloff is a function of temporary multiple digestion, not fundamental decay. 2. The Problem with Chasing Equity Dips Trying to time a precise bottom on a high-beta

Maybe I hope idk wat happend

A 3.6% pullback in NVIDIA is hardly unusual after its massive run. The key question is whether the investment thesis has changed. So far, AI infrastructure spending remains strong, hyperscalers continue investing aggressively, and TSMC's demand commentary suggests the underlying trend is intact. That said, I would not rush to chase every dip. Geopolitical tensions can create further volatility, and semiconductor stocks have become crowded trades. A deeper correction of 10-15% would offer a more attractive risk-reward profile than a routine 3-4% pullback. For long-term investors, gradual accumulation still makes sense. For those with limited cash, patience may be rewarded given stretched valuations and elevated market expectations. The AI compute story remains compelling, but sentiment can

At Computex, Huang announced Vera CPU entering mass production and RTX Spark crashing into the PC market — NVIDIA is now officially in the CPU business. The market voted with its feet: $ARM Holdings(ARM)$ surged +15.7% to $409, the biggest free-rider winner; $NVIDIA(NVDA)$ +6.3% to $224; while the x86 duo took it on the chin — $Advanced Micro Devices(AMD)$ -1.2% to $510, $Intel(INTC)$ -4.7% to $109. A Barclays report just ranked the winners and losers of this $100B+ CPU war. For years the semiconductor spotlight was on GPUs. But over the past six months, AI wo

Buy the dip. Hard to time the market. What pays off is time in the market.  Any day, there can be news or just a tweet. Then the market will rocket up again.

Its all to expensive anyway

All AI stocks are ass the point of even calling them "overvalued". They are basically sentiment factories. They are overvalued for the past 2 years. So the question is, are you going to stop trading? 

The 2026 U.S. IPO market may not just be reopening. It may be asked to do something much harder: price three of the most important private-market stories in the world. SpaceX is the infrastructure bet. OpenAI is the gateway bet. Anthropic is the enterprise workflow bet. They are not ordinary tech companies, nor are they just another wave of short-term excitement in the IPO market. Together, they may mark the first time public markets are being asked to price, all at once, the defining themes of the next decade: the Space Age, the AGI Age, and the Enterprise Intelligence Age. But from an investment perspective, the bigger the company, the more dangerous it is to ask only one question: “Is it great?” A great company and a great investment are always separated by one thing: price. The real qu

Read about Warren Buffet issued a stark warning. Better not to overpay for stocks.

Good stock. Upward trend worth investing 

Let get it to earn together 

🚀 NVIDIA's Next Move Isn't About GPUs Anymore... It's About Owning the Entire AI Ecosystem Many investors still see NVIDIA as a "GPU company." I think that's becoming outdated. At Computex, Jensen Huang didn't just launch another chip. He revealed a strategy that attacks multiple trillion-dollar markets simultaneously: ✅ AI Datacenters (Blackwell, Rubin) ✅ AI Factories (DSX digital twin platform) ✅ Robotics & Autonomous Systems ✅ Enterprise AI Software ✅ AI PCs powered by NVIDIA silicon The most interesting development isn't the Windows PC itself. It's the idea that NVIDIA wants to become the operating system of the AI economy. Think about it: CUDA locks in developers DGX powers AI training Omniverse designs digital factories DSX simulates factories before construction AI PCs bring NVI

NVIDIA & Microsoft Just Declared War on Intel — Is the x86 Moat Finally Dead? The hardware landscape just experienced a seismic shift at Computex and the Microsoft Build conference. NVIDIA and Microsoft took the stage to unveil the first batch of Windows PCs powered natively by NVIDIA chips as their main processor, bypassing the traditional x86 architecture. Alongside this hardware pivot, Jensen Huang launched the NVIDIA DSX platform—a massive enterprise play allowing companies to simulate entire AI factories before spending a single dime on physical builds. This isn't just another product update; it is Microsoft's aggressive "second shot" at the AI PC market and a direct, existential strike at the desktop strongholds of Intel and AMD. Here is a breakdown of why this architectural war

🌟🌟🌟 $ARM Holdings(ARM)$ is the undisputed winner of the CPU war.  Why?  ARM designs the underlying architectural blueprint, licenses the instruction set and collects its licensing fees upfront. The consumer computing world is aggressively migrating to ARM architecture because the processing requirements for on-device local AI have pushed legacy x86 standards to their physical limits. ARM utilises Reduced Instruction Set Computer (RISC) architecture which breaks down software processing tasks into lean, hyper efficient instructions. ARM chips can deliver identical computing and Neural Processing Unit (NPU) speeds while consuming a fraction of the battery power. This makes ARM the mandatory choice for tech giants like Qualcomm, Apple and N

At GTC Taipei 2026, NVIDIA rolled out more than a dozen major announcements. The lineup was broad: Vera, a data center CPU built for AI agents; RTX Spark, a platform for personal AI PCs; DGX Station for Windows, a desktop AI supercomputer for enterprises; new robotics foundation models; autonomous driving platforms; and a broader AI factory stack. This was not just a product launch. It felt more like Jensen Huang laying out NVIDIA’s roadmap for the next stage of AI. The first AI boom put NVIDIA at the center of AI compute. This new roadmap points to a bigger ambition: NVIDIA does not just want to sell GPUs into the AI cycle. It wants to become the infrastructure layer underpinning the next generation of AI applications. 1. Vera: A CPU Built for the Agent Era AI demand is moving from pure t

Yes, Intel and AMD can still hold most desktop dominance in the near term, but their moat is clearly weakening. NVIDIA’s threat is strongest in premium AI PCs, creator laptops, workstations, and developer machines, not ordinary office desktops yet. RTX Spark/Arm needs Windows software compatibility, OEM scale, pricing, battery proof, enterprise support, and gaming/app optimisation before it can truly replace x86 broadly.  For Intel, the risk is bigger: its desktop moat is already under pressure from weak execution, AMD competition, and ARM momentum. For AMD, the threat is less existential because it has stronger x86 performance credibility and can still ride AI PCs with Ryzen + Radeon/NPU. DSX is separate but important. It strengthens NVIDIA’s AI infrastructure ecosystem by helping bu

Last Week's Recap 1. Weekly Market Digest: S&P 500's 9-Week Run, PCE Inflation Hot, Oil Crashes Pushing higher — S&P 500 ninth straight weekly gain; NASDAQ +2.4%, S&P +1.4%, Dow +0.9%. Price pressures — April PCE inflation at 3.8% annual rate (highest since May 2023); core PCE 3.3%. Oil pullback — Crude fell for a second straight week on U.S.-Iran talks, down nearly 10% for the week to ~$88; roughly 16% lower for May. May's momentum — NASDAQ +8.4%, S&P 500 +5.1%, Dow +2.8% in May, though short of April's double-digit gains. GDP downgrade — Q1 GDP revised down to 1.6% (from 2.0%) on weaker consumer spending and investment. Rising expectations — Analysts raised Q2 S&P 500 earnings estimates by 2.5% in April/May, per FactSet; results begin mid-July. East Asian rally — Sout

This "zero-cost validation" massively appeals to heavy industries trying to minimize capital expenditure risk before putting construction money to work

For years the semiconductor spotlight was on GPUs. But over the past six months, AI workloads have shifted from training to inference and agents (Agentic AI) — GPUs "compute," CPUs "manage": calling tools, routing sub-agents, tracking task completion. That's CPU work.