To The Moon

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

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....

1. In this cpu war $ARM Holdings(ARM)$ has the better position, however $NVIDIA(NVDA)$ is also a strong contender 2. Yes $ARM Holdings(ARM)$ has a high valuation due to the value of royalties of the arm chipset instruction set 3. Yes, $NVIDIA(NVDA)$ new cpu has higher performance that legacy x86 cpu chipsets 4. $Intel(INTC)$ is highly valued for its current position in the market which is second to amd and nvda

nvda is breaking out with such low forward PE. just buy to ride the upside

I’m leaning toward $ARM Holdings(ARM)$ in this CPU war. Its business model is the most attractive because it benefits no matter who wins. Whether it’s $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , or hyperscalers building Arm-based CPUs, ARM collects royalties without having to fight for market share directly. That certainty helps explain the stock’s strong reaction. NVIDIA is still the biggest wildcard. Vera may not replace x86 overnight, but within NVIDIA’s AI ecosystem it doesn’t need to. If customers are already buying NVL racks, adopting Vera becomes a natural extension. The market may also be underestimating how much CPU revenue is embedded inside those

Yes, Intel and AMD can still hold desktop dominance near term, but the moat is now clearly weaker. NVIDIA’s RTX Spark is not just a chip launch. It combines Arm CPU, Blackwell GPU, CUDA/RTX software, Windows AI agents, and OEM support from Dell, HP, Lenovo, Asus and others. That attacks the PC market through AI performance, not traditional CPU benchmarks.  But x86 still has major defences: app compatibility, enterprise fleets, gaming support, existing supply chains, and years of OEM optimisation. Most users still buy PCs for price, reliability and compatibility, not local AI agents. My view: Intel is more exposed than AMD. AMD has stronger execution and GPU/CPU credibility. Intel’s moat depends heavily on legacy x86 share, manufacturing recovery and enterprise stickiness. So, not an i

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

The NVIDIA and Microsoft announcements at Computex Taipei represent a massive structural shift in computing architecture, not just a standard product refresh. Here is my take on how this redefines tech moats and portfolio strategy: 1. The Ecosystem Lock-in (The Real Moat) NVIDIA launching the DSX platform ("simulate the entire factory before you build it") shows they aren't just selling chips anymore—they are exporting their data center ecosystem playbook to the desktop. Just as CUDA locked developers into NVIDIA for AI training, DSX and enterprise AI PC validation will lock enterprises into their silicon architecture. 2. The Structural Shift: Decoupling from the x86 Duopoly For decades, the "Wintel" (Windows + Intel) alliance ruled the PC world. By deeply integrating NVIDIA chips as the m

The NVIDIA and Microsoft announcements at Computex Taipei represent a massive structural shift in computing architecture, not just a standard product refresh. Here is my take on how this redefines tech moats and portfolio strategy: 1. The Ecosystem Lock-in (The Real Moat) NVIDIA launching the DSX platform ("simulate the entire factory before you build it") shows they aren't just selling chips anymore—they are exporting their data center ecosystem playbook to the desktop. Just as CUDA locked developers into NVIDIA for AI training, DSX and enterprise AI PC validation will lock enterprises into their silicon architecture. 2. The Structural Shift: Decoupling from the x86 Duopoly For decades, the "Wintel" (Windows + Intel) alliance ruled the PC world. By deeply integrating NVIDIA chips as the m

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

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

Nvidia's push into AI-powered Windows PCs could give Microsoft a strong opportunity to revive excitement in the PC market. With AI becoming a key feature for productivity and creativity,  Microsoft's Windows ecosystem may gain a competitive edge. However, a true comeback will depend on whether consumers find enough real-world value in these new AI features to justify upgrading their devices.  The technology is promising, but widespread adoption remains the key challenge.

NVIDIA's move is strategically important, but I would not declare the x86 moat broken yet. The bigger story is not the PC chip itself. It is NVIDIA extending its ecosystem from AI training to AI inference, robotics, digital twins and now client PCs. The new DSX vision complements platforms such as NVIDIA Omniverse by allowing companies to simulate AI factories before deploying real hardware. For PCs, NVIDIA faces three hurdles: Software compatibility: x86 still dominates enterprise Windows workloads. OEM relationships: Intel and Advanced Micro Devices have decades-long partnerships with PC makers. Enterprise inertia: Businesses refresh PCs slowly and value compatibility over cutting-edge AI features. However, NVIDIA's advantage is that AI PCs may shift the battleground from CPU performance

$NVIDIA(NVDA)$  

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

Massive catalyst for future growth - expanding into Microsoft PCs is the way to go! With such a diversified business beyond pure AI, it's only a matter of time before Nvidia is fairly valued by the market. $NVIDIA(NVDA)$  $Microsoft(MSFT)$  

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

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

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

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. (

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

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%.

I’m leaning toward $ARM Holdings(ARM)$ in this CPU war. Its business model is the most attractive because it benefits no matter who wins. Whether it’s $NVIDIA(NVDA)$ , $Advanced Micro Devices(AMD)$ , or hyperscalers building Arm-based CPUs, ARM collects royalties without having to fight for market share directly. That certainty helps explain the stock’s strong reaction. NVIDIA is still the biggest wildcard. Vera may not replace x86 overnight, but within NVIDIA’s AI ecosystem it doesn’t need to. If customers are already buying NVL racks, adopting Vera becomes a natural extension. The market may also be underestimating how much CPU revenue is embedded inside those

Waiting for benefits of price war.

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 desktop dominance near term, but the moat is now clearly weaker. NVIDIA’s RTX Spark is not just a chip launch. It combines Arm CPU, Blackwell GPU, CUDA/RTX software, Windows AI agents, and OEM support from Dell, HP, Lenovo, Asus and others. That attacks the PC market through AI performance, not traditional CPU benchmarks.  But x86 still has major defences: app compatibility, enterprise fleets, gaming support, existing supply chains, and years of OEM optimisation. Most users still buy PCs for price, reliability and compatibility, not local AI agents. My view: Intel is more exposed than AMD. AMD has stronger execution and GPU/CPU credibility. Intel’s moat depends heavily on legacy x86 share, manufacturing recovery and enterprise stickiness. So, not an i

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

1. In this cpu war $ARM Holdings(ARM)$ has the better position, however $NVIDIA(NVDA)$ is also a strong contender 2. Yes $ARM Holdings(ARM)$ has a high valuation due to the value of royalties of the arm chipset instruction set 3. Yes, $NVIDIA(NVDA)$ new cpu has higher performance that legacy x86 cpu chipsets 4. $Intel(INTC)$ is highly valued for its current position in the market which is second to amd and nvda

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

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

nvda is breaking out with such low forward PE. just buy to ride the upside

$GameStop(GME)$ was the most powerful GAMMA squeeze back in Jan 2021. It spiked 18,694% in only 4 weeks $2.57 → $483 Here's 5 GAMMA squeezes happening right now: 1. $Micron Technology(MU)$ +1,267% in 12 months HBM shortage + AI earnings lit the fuse. Dealers pinned at $900/$1,000 call walls forced to buy nonstop. 2. $SanDisk Corp.(SNDK)$ +3,773% in 12 months 645% datacenter revenue surge overwhelmed dealer books.IV now at 107%. Put/call flipped to 1.42. Late-stage squeeze. 3. $NVIDIA(NVDA)$ 289M shares Friday vs 181M avg Post-earnings call flood turned dealers into forced buyers. $500B market cap added in days. Vera Rubin r

The NVIDIA and Microsoft announcements at Computex Taipei represent a massive structural shift in computing architecture, not just a standard product refresh. Here is my take on how this redefines tech moats and portfolio strategy: 1. The Ecosystem Lock-in (The Real Moat) NVIDIA launching the DSX platform ("simulate the entire factory before you build it") shows they aren't just selling chips anymore—they are exporting their data center ecosystem playbook to the desktop. Just as CUDA locked developers into NVIDIA for AI training, DSX and enterprise AI PC validation will lock enterprises into their silicon architecture. 2. The Structural Shift: Decoupling from the x86 Duopoly For decades, the "Wintel" (Windows + Intel) alliance ruled the PC world. By deeply integrating NVIDIA chips as the m

The NVIDIA and Microsoft announcements at Computex Taipei represent a massive structural shift in computing architecture, not just a standard product refresh. Here is my take on how this redefines tech moats and portfolio strategy: 1. The Ecosystem Lock-in (The Real Moat) NVIDIA launching the DSX platform ("simulate the entire factory before you build it") shows they aren't just selling chips anymore—they are exporting their data center ecosystem playbook to the desktop. Just as CUDA locked developers into NVIDIA for AI training, DSX and enterprise AI PC validation will lock enterprises into their silicon architecture. 2. The Structural Shift: Decoupling from the x86 Duopoly For decades, the "Wintel" (Windows + Intel) alliance ruled the PC world. By deeply integrating NVIDIA chips as the m

NVIDIA's move is strategically important, but I would not declare the x86 moat broken yet. The bigger story is not the PC chip itself. It is NVIDIA extending its ecosystem from AI training to AI inference, robotics, digital twins and now client PCs. The new DSX vision complements platforms such as NVIDIA Omniverse by allowing companies to simulate AI factories before deploying real hardware. For PCs, NVIDIA faces three hurdles: Software compatibility: x86 still dominates enterprise Windows workloads. OEM relationships: Intel and Advanced Micro Devices have decades-long partnerships with PC makers. Enterprise inertia: Businesses refresh PCs slowly and value compatibility over cutting-edge AI features. However, NVIDIA's advantage is that AI PCs may shift the battleground from CPU performance

Nvidia's push into AI-powered Windows PCs could give Microsoft a strong opportunity to revive excitement in the PC market. With AI becoming a key feature for productivity and creativity,  Microsoft's Windows ecosystem may gain a competitive edge. However, a true comeback will depend on whether consumers find enough real-world value in these new AI features to justify upgrading their devices.  The technology is promising, but widespread adoption remains the key challenge.