Honestly, I was conflicted too. I thought it might be the peak. However, after taking a closer look at the GTC 2026 keynote, my mind completely changed.
Let me start with the conclusion. NVIDIA is not a GPU company right now. It is an AI OS company. Jensen Huang declared this himself. And Aleph believes that this could actually be a greater reason to buy. From the Rubin platform and NemoClaw to the $1 trillion AI infrastructure market and even a Samsung rebound scenario—I will provide an in-depth summary of the key points.
13-Line Summary — For busy people, just this
For those who find it difficult to watch the news every day, I will start with the key points.
① It transitioned from GPU to AI OS , ② Inference outpaced learning, and
③ Samsung is seizing another opportunity through the reorganization of the memory four-tier structure .
Just like how Intel went from selling only CPUs in the PC market to dominating the entire platform.
If NVIDIA dominates the software platform as well, it will become increasingly difficult for customers to switch hardware.
No matter how good a GPU AMD or Intel makes, it is useless if they are outside the ecosystem.
This lock-in effect is the key point of the investment.
2 AI Evolution Stage 4 — “We Stand at the Entrance of Stage 3”
This is what Jensen Huang emphasized the most. He stated that AI evolves through four stages, and we are currently just at the beginning of the third stage.
Simply put, this is the point where AI transitions from "doing what it is told" to "doing things on its own."
Why is this an investment point, you ask? Running agent AI requires massive inference computation, and
This is because NVIDIA holds the tightest grip on that infrastructure.
Agent AI repeats reasoning tens to hundreds of times when processing a single task.
Learning happens only once, but inference occurs every moment. In other words, the point at which the demand for inference infrastructure increases explosively is
It is right now, and NVIDIA is at the center of it.
📋 Investment Timing by AI Evolution Stage
| step | Current status | NVIDIA position | Investment judgment |
|---|---|---|---|
| Stage 1 Perceptual | Maturity stage | Stabilization of existing GPU demand | maintain |
| Stage 2 Generative | high growth period | Explosive demand for H100 and B200 | Already reflected |
| 3-Step Agentic | Entrance | NemoClaw·Rubin platform | We are now entering the section |
| 4th Stage Physical | Genesis | Newton·Cosmos Framework | Observation after 2028 |
※ The above content is a scenario based on market analysis and is not an investment recommendation.
3OpenClaw vs NemoClaw — The Battle for Control of the Agent Ecosystem
This is the hottest keyword at GTC 2026.
OpenClaw is an open-source agent orchestration framework, and
NemoClaw is a commercial version optimized for enterprise use by NVIDIA.
It is not a simple difference in function.
Going forward, it is a battle over who controls thousands of AI agents .
| item | OpenClaw | NemoClaw |
|---|---|---|
| License | Open source Apache 2.0 | Commercial Enterprise |
| Main target | Developers, Researchers, Startups | Large Corporations and AI Factory Operators |
| security layer | Basic level | Triple guardrail |
| Inference speed | standard | TensorRT-LLM Integration — Up to 5x Faster |
| Multi-agent | Limited | Simultaneous coordination of thousands of agents possible |
Also, monitor the growth rate of open source alternatives such as LangGraph and AutoGPT.
Microsoft's moves are also a variable.
4Rubin Platform & Vera CPU — “We Make CPUs Too”
Many of you must be surprised by this. NVIDIA makes CPUs directly? That's right.
The Vera CPU is NVIDIA's first custom-designed server CPU. It is an ARM-based 88-core processor.
It's not just a CPU — combining the GPU, network (NVLink Fusion), and memory into one
It is the brain of the 'AI Factory Platform' .
This is sleepless news for Intel and AMD.
In fact, since the announcement of NVLink Fusion, it has become possible to “join the NVLink ecosystem without NVIDIA hardware.”
It is a strategy to dominate the ecosystem by even bringing in competitors' chips.
The scary thing is that this is gradually becoming reality.
5 Reorganization of Memory into 4 Tiers — Why Samsung Is Rising
As AI models grow larger, memory bottlenecks determine overall performance.
It may sound obvious, but the investment landscape changes drastically when you look at the 4-layer memory architecture that NVIDIA officially unveiled at GTC 2026.
SK Hynix almost monopolized the HBM3 market, but Samsung is re-entering it starting with the HBM4 generation .
NVIDIA's supply diversification strategy opened up opportunities for Samsung.
| hierarchy | technology | characteristic | Major suppliers |
|---|---|---|---|
| 🔴 L1 Top Speed | HBM4 | Ultra-high speed and highest price, GPU die close placement | SK Hynix , Samsung Re-enters , Micron |
| 🟠 L2 High Speed | GDDR7 | Mid-range price range, suitable for large-capacity expansion | Samsung and SK Hynix |
| 🔵 L3 Low Power | LPDDR5X | Edge & Mobile AI Specialization, Power Efficiency Prioritized | Samsung·Micron |
| 🟢 L4 High Capacity | SRAM (Gr3 LPX) | 128GB HeteroGenius, Low Power, Large Capacity | NVIDIA's own design |
This is the trigger for the rebound of Samsung DS Division.
The point at which SK Hynix's monopoly begins to waver could be an opportunity for sector rebalancing .
Don't miss this timing.
6 3 Investment Scenarios — Probability and Impact
Now, from here on, let's talk about numbers a little more seriously.
This is the result of an analysis applying the announcements from GTC 2026 and the current market situation.
Please read this not as an investment recommendation, but as a scenario showing that 'such a phase could exist.'
| scenario | Probability | Key conditions | Expected impact |
|---|---|---|---|
| 🚀 AI Factory High Growth | 40% | Early Adoption of Rubin by Top 3 Cloud Companies, Expansion of NemoClaw in Enterprises | NVDA +30~50%, Samsung DS Rises Alongside |
| 📈 Gradual growth | 45% | Introduction delayed by 6 to 12 months due to supply chain bottlenecks and regulations | Track NVDA market returns, enter after observing for 1-2 years. |
| ⚠️ Open Source Counterattack | 15% | AMD ROCm Ecosystem Completed, OSS Rapid Growth | NemoClaw Adoption Stagnation Pressures Software Margins |
※ The probabilities and figures above are a scenario analysis projecting the content of GTC 2026 announcements onto the current market and do not constitute investment advice.
7So what am I supposed to do now? — 3 things to do right now
We have already performed a complex analysis. Now, we will narrow it down to just three things that actually need to be done .
NVIDIA Quarterly Earnings — Check Data Center Order Disclosures
The quarter in which Rubin-based orders start appearing in public disclosures is the real signal.
Don't miss the point when NemoClaw license revenue is separated into a distinct item.
That is the signal that the “transition into a software company” is complete .
Samsung Electronics HBM4 Supply Contract — Deadline is the second half of 2026
Whether NVIDIA HBM4 certification is completed is the trigger for a rebound in Samsung DS.
If SK Hynix's monopoly is shaken, an opportunity for rebalancing the entire semiconductor sector opens up.
Set up news alerts now.
NVDA Single-Stock Concentration Risk — Diversify with AI Infrastructure ETFs
If you are hesitant to go all-in on NVDA alone, consider SMCI, ANET, ARM, MRVL, etc.
Review ETFs that provide exposure to the entire AI infrastructure supply chain.
Please compare BOTZ and SOXX and incorporate them according to your risk tolerance .
If U.S. restrictions on semiconductor exports to China are tightened, 20–25% of NVIDIA’s global revenue will be hit hard .
In this phase, 'wait and see + keep cash' is a better choice than 'split buying'.
Protecting your assets rather than being greedy for higher returns is the right answer in this market right now.
The real winners of GTC 2026 are not NVIDIA hardware itself, but all the vendors integrated into the NVLink ecosystem.
Keep an eye on ARM-based server vendors and network vendors adopting Spectrum-X starting now.
However, strictly apply a split approach to
진입 타이밍 targeting before and after the quarterly earnings announcement.Conclusion — Now is the time for 'positioning,' not 'waiting and watching.'
In the stock market, there are times to attack and times to position.
March 2026 is clearly the time for positioning .
If you view Nvidia solely as a GPU company, the question "Isn't it at its peak?" always follows.
However, if you shift the frame to a platform company aiming to dominate the OS of the $1 trillion AI infrastructure market, the story changes.
While risks such as the open-source backlash, export restrictions to China, and counterattacks by Samsung and AMD are real,
In any scenario , quarterly earnings announcements, HBM4 certification results, and NVLink expansion speed
The person who monitors the situation eventually seizes the opportunity in the best position. Always.
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How this content was produced
Aleph's research AI agent assisted with collecting and analyzing public data, creating charts and visuals, and structuring the draft. Davar personally reviewed and edited the sources, figures, reasoning, and final conclusions.
This content is for informational purposes only and is not personalized investment advice or an individual stock recommendation. Read the full disclaimer
Davar
Davar builds and operates Aleph's research AI agent and writes and reviews analysis on macroeconomic developments and AI industry trends.
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