The Fundamentalist

$NBIS Token Factory explained in 15 minutes So I decided to write a little explanation of what the main differentiator of $NBIS is, and that is the "Token Factory" they introduced November last year I will try to simplify this so that every investor can understand it. If you are interested in more technical details, ask me in the comments, and I might be able to explain it. So If someone asked me how I would explain it in one sentence, I would say that Token Factory is an AI platform designed to simplify the deployment, management, and scaling of large language models (LLMs) and other generative AI systems. It is a production-grade inference platform that allows organizations (and it is especially helpful for smaller businesses) to use AI models without the complexity of managing the underlying infrastructure. Token factory is built around inference - the process where you generate outputs from already trained models (for example, asking questions and getting answers from models like ChatGPT). Whenever you ask ChatGPT a question, request code generation, or any other task you have ever done, the model produces a sequence of tokens that are, at the end, transformed into text/document that you can read. In the earliest stages of AI, we just had models like ChatGPT 3, Claude 3, etc. You paid your subscription of $20, and you were able to prompt infinitely, but lately the scale of these prompts increased heavily, and enterprise adoption of these models led to OpenAI, Anthropic, and others to shift from simple subscription pricing to price/token, meaning that each prompt and each task is priced differently. The cost of the token is increasing rapidly with supply not being able to meet demand. This is why $NBIS came with Token Factory, which is basically an optimizer for generating these tokens as efficiently, reliably, and cost-effectively as possible. The name kind of explains itself there. Traditionally, companies that wanted to deploy large AI models had to acquire and manage expensive GPU hardware, configure inference servers, monitor performance, handle traffic spikes, and continuously try to optimize their deployments. This process required companies to have experts in mainly these two fields: 1) Cloud infrastructure 2) Machine learning operations (MLOps) It is quite difficult to obtain a skillful team in these areas, so Nebius decided to go and remove majority of this complexity by providing a managed service that handles not only infrastructure, but also scaling, monitoring, and deployment via Token Factory. Developers can now simply connect to the platform through an API and immediately begin using advanced AI models. So the key strength is the exposure for smaller enterprises to open-source foundation models without acquiring a whole team of experts. Organizations can access and deploy models from families such as Llama, Qwen, DeepSeek, and from the latest announcement also NVIDIA Nemotron. The platform has interfaces that are compatible with widely used AI APIs, making migration and intergration relatively straightforward for development teams. What I did not understand initially, was that Token Factory goes beyond basic inference, it supports the whole lifecycle of AI applications. Users can tune their models on proprietary data to create domain-specific assistants for many industries like finance, healthcare, law and many others. This opens new possibilities like "parameter-efficient fine-tuning", "post-training optimization" that enable companies to customize models without the cost of training it from scratch. There are other fancy applications like Retrieval-Augmented Generation (RAG), where you combine LLMs with external knowledge sources like documents. But I don’t want to bore you to death as I understand majority of investors reading this are not machine learnings experts, so let’s skip this technical part. However, one last major advantage that you should be able to understand about Token Factory is the ability to scale "automatically". When you create an application and demand starts increasing, you usually start running into high latency and capacity problems. Instead of you having to allocate new compute to your application, which takes time and it might cause some downtime for your servers which are costly, Token Factory platform dynamically allocates additional computing resources to maintain both low latency and high throughout. The important thing is that this works the opposite way as well. When demand decreases, resources are released, helping companies optimize costs. This elastic scaling allows Token Factory to attract both small pilot projects to large-scale production deployments serving thousands of users and more. Now that I finished this paragraph, I realize that I completely forgot about one more thing and that is what we call in business "Enterprise governance and security". Token Factory includes features such as role-based access control, team management, authentication integration, usage monitoring, centralized billing and many other things that help companies maintaining control over AI deployments while meeting operational and compliance requirements. To somehow summarize everything, think of Token Factory as the "AWS of AI" or more precisely "AWS of AI inference". Companies bring their applications, Nebius provides the infrastructure and models, and charges for the AI output generated. The more AI is used, the more valuable Token Factory becomes. It is really that simple. I spent more time than I initially wanted on researching Token Factory and its use cases, but it really helped me to understand that this is something that gives $NBIS an unfair advantage against others in the sector. You should really understand this part of their business if you are an investor, so I will gladly answer your questions. If you found this a valuable read, follow me for more. Thanks! (picture is from ChatGTP)

“Bad days build better days”

Portfolio ended down around 7% Hard day for $NBIS and $IREN shareholders Enjoy the weekend, we will be back on Monday

@BlackPantherCap Great post, it had me reflect on my life after quite some time

Your brain is wired to make you poor… …it’s funny and honestly, a little humbling to realize how predictable we are once you stop trying to analyze the charts and start watching the psychology. I’ve been reflecting on the "Green vs. Red" cycle in the market, and it’s become impossible to ignore. It’s not just market volatility, it’s our own biology playing out in real-time. When the market is green, everything feels permanent. You get that dopamine hit, and your brain starts whispering that the winning streak is the new normal. It blinds you to risk because the "reward circuits" in your head are firing, making you feel invincible. It’s the easiest trap in the world to fall into, since you start believing the good times will never end. Then, the script flips. A red day hits, and the "threat circuits" go into overdrive. It’s a physiological reaction, not a financial one. Suddenly, those recent losses feel terminal, the panic sets in, and the only thing your brain wants is the relief that comes from hitting "sell." The reality is that our brains were built to handle immediate life-or-death survival. It were never designed to navigate quarterly earnings, interest rates, or ticker symbols. We are reacting to "threats" and "rewards" just like our ancestors did, only now we're doing it with our portfolios. The secret isn't to stop feeling these things. It's to realize that *you are the observer, not the reaction.* When you stop living inside the emotion and start recognizing the hardware at work, you change the game entirely. You realize that the red days aren't actually disasters, they are just the inevitable counterpart to the greed of the green days. Once you see the pattern for what it is; a biological reflex rather than a signal to panic, you suddenly have an edge. While everyone else is busy letting their survival instincts dictate their trades, you can stay calm, zoom out, and treat those red days for what they usually are: an opportunity to buy what the panic-sellers are throwing away. -BP This is not financial advice.

Everyone should read this. When I was young, I thought that psychology was stupid, and only when I started investing and mainly saw people investing, did I realize we really are predictable. I had to go through several drawdowns before realizing I needed to go against my natural behaviour. This post is exactly about how we function, and that is why only a small portion of people are successful. Mentality You need to be the strongest person in the room. Think about it over the weekend, think about your life and how you deal with situations, think about how you were feeling today seeing your portfolio go red. Empower yourself and be stronger. It will probably not work for the first time, I thought many times in my life that I had gotten to the point where I wanted to be, I thought this time I would be stronger, and I was not. When I talk with my family, friends, or anyone about success, I tell them that winning only comes after losing. It is similar to working out, you need to achieve failure if you want to grow your muscles. It is the same in life. You need to fail and fail and fail in order to win. I would wish you a less painful way to success. There are probably lucky ones who got there without much pain, but the reality for 99.9999% of us is the same. Unfortunately, you will need to lose in order to be successful. I finally turned my life around only when I lost someone very important to me. It was the moment when I truly lost, when I felt like not waking up in the morning. I remember waking up to work at 5:30, and the first thing I did for several months was that I woke up, sat on the side of my bed, and nearly started crying. Only this experience makes you stronger in life. Losing someone, not getting accepted into your dream school, your project not working after spending months building it, losing your job. Only when you pour your heart into something and it gets destroyed is the moment you will grow Hopefully this shifts your emotions away from the market and you really think about it over the weekend You need to be strong Life gets hard sometimes, but losers mentality will not get you anywhere Learn to transform negative energy into something positive, the most powerful skill you can have

We are close $NBIS Targets are clear Execute on your strategy, otherwise you do not have one

Remember something If you did not sell $NBIS at $280, you should absolutely not sell at $220 If you did not sell $IREN at $70, you should absolutely not sell at $50 If you did not sell $NVDA at $240, you should absolutely not sell at $205 Do not sell when panic takes over!!!

Added $NBIS today Do not panic, did you have some strategy? Now is the time to execute

If you are new to investing and you are feeling unwell today GOOD You need to experience these negative moments to become a great investor The worst thing that can happen to you is that you feel like you are invincible and that investing is easy You need to be strong

@EndicottInvests I think we will see $213 since we lost $235

Nibbled some more on $NBIS

@EndicottInvests gets it Be like Nate

$NBIS still green in last 7 days $HIMS still green in last 7 days $NVDA? Barely red

The reason why I am able to make money in the market? I am watching $NBIS going towards $200 and I am so happy about it I am watching $IREN going towards $50 and I am so happy about it I am watching $NVDA going towards $190 and I am so happy about it

I believe this might be one of the reasons why we selling of today $NVDA, $NBIS, $IREN and others are extremely red We are all dependant on Anthropic and OpenAI succeeding Do not panic guys, the biggest companies are too deep in this to back off now We will see next week

@LandoInvests Where is the 200SMA?

$IREN getting OBLITERATED today. Market seems to be correcting everything right now Broke through 21 EMA pretty hard. I’m not into technicals much, but I believe 200 SMA is next target to hold These red days are what we live for as investors. SMILE FRIENDS

$SIVE are you serious? Company is giving you AI pictures about their products This is a terrible look

AI IS DEAD SELL IT ALL Crazy how markets behave sometimes

Relax Have a nice weekend Think about your beatiful $NBIS, $IREN, $NVDA, $HIMS, $SOFI, $OSCR companies They are doing wonderful job

If you are watching your portfolio with fear today You are doing something wrong. I will be there to help you and guide you through difficult times But I will be honest with you all the time I am down a lot today, and just like yesterday, I feel nothing Strategy is the key

$NBIS so far holding like a champ But after such a run, I would expect us to pay visits to the low $200s

it handles traffic spikes mainly through dedicated endpoints with autoscaling throughput. Basically, Nebius reserves and scales GPU capacity behind the API so that when usage suddenly rises, more serving capacity can be added instead of forcing all requests through the same overloaded GPUs. Nebius describes this as providing predictable latency, 99.9% uptime, and autoscaling for production workloads in their product descriptions and I believe it was mentioned in some interview with Roman

@Funmentalist How does Token Factory handle sudden traffic spikes without increasing latency?

$NBIS Token Factory explained in 15 minutes So I decided to write a little explanation of what the main differentiator of $NBIS is, and that is the "Token Factory" they introduced November last year I will try to simplify this so that every investor can understand it. If you are interested in more technical details, ask me in the comments, and I might be able to explain it. So If someone asked me how I would explain it in one sentence, I would say that Token Factory is an AI platform designed to simplify the deployment, management, and scaling of large language models (LLMs) and other generative AI systems. It is a production-grade inference platform that allows organizations (and it is especially helpful for smaller businesses) to use AI models without the complexity of managing the underlying infrastructure. Token factory is built around inference - the process where you generate outputs from already trained models (for example, asking questions and getting answers from models like ChatGPT). Whenever you ask ChatGPT a question, request code generation, or any other task you have ever done, the model produces a sequence of tokens that are, at the end, transformed into text/document that you can read. In the earliest stages of AI, we just had models like ChatGPT 3, Claude 3, etc. You paid your subscription of $20, and you were able to prompt infinitely, but lately the scale of these prompts increased heavily, and enterprise adoption of these models led to OpenAI, Anthropic, and others to shift from simple subscription pricing to price/token, meaning that each prompt and each task is priced differently. The cost of the token is increasing rapidly with supply not being able to meet demand. This is why $NBIS came with Token Factory, which is basically an optimizer for generating these tokens as efficiently, reliably, and cost-effectively as possible. The name kind of explains itself there. Traditionally, companies that wanted to deploy large AI models had to acquire and manage expensive GPU hardware, configure inference servers, monitor performance, handle traffic spikes, and continuously try to optimize their deployments. This process required companies to have experts in mainly these two fields: 1) Cloud infrastructure 2) Machine learning operations (MLOps) It is quite difficult to obtain a skillful team in these areas, so Nebius decided to go and remove majority of this complexity by providing a managed service that handles not only infrastructure, but also scaling, monitoring, and deployment via Token Factory. Developers can now simply connect to the platform through an API and immediately begin using advanced AI models. So the key strength is the exposure for smaller enterprises to open-source foundation models without acquiring a whole team of experts. Organizations can access and deploy models from families such as Llama, Qwen, DeepSeek, and from the latest announcement also NVIDIA Nemotron. The platform has interfaces that are compatible with widely used AI APIs, making migration and intergration relatively straightforward for development teams. What I did not understand initially, was that Token Factory goes beyond basic inference, it supports the whole lifecycle of AI applications. Users can tune their models on proprietary data to create domain-specific assistants for many industries like finance, healthcare, law and many others. This opens new possibilities like "parameter-efficient fine-tuning", "post-training optimization" that enable companies to customize models without the cost of training it from scratch. There are other fancy applications like Retrieval-Augmented Generation (RAG), where you combine LLMs with external knowledge sources like documents. But I don’t want to bore you to death as I understand majority of investors reading this are not machine learnings experts, so let’s skip this technical part. However, one last major advantage that you should be able to understand about Token Factory is the ability to scale "automatically". When you create an application and demand starts increasing, you usually start running into high latency and capacity problems. Instead of you having to allocate new compute to your application, which takes time and it might cause some downtime for your servers which are costly, Token Factory platform dynamically allocates additional computing resources to maintain both low latency and high throughout. The important thing is that this works the opposite way as well. When demand decreases, resources are released, helping companies optimize costs. This elastic scaling allows Token Factory to attract both small pilot projects to large-scale production deployments serving thousands of users and more. Now that I finished this paragraph, I realize that I completely forgot about one more thing and that is what we call in business "Enterprise governance and security". Token Factory includes features such as role-based access control, team management, authentication integration, usage monitoring, centralized billing and many other things that help companies maintaining control over AI deployments while meeting operational and compliance requirements. To somehow summarize everything, think of Token Factory as the "AWS of AI" or more precisely "AWS of AI inference". Companies bring their applications, Nebius provides the infrastructure and models, and charges for the AI output generated. The more AI is used, the more valuable Token Factory becomes. It is really that simple. I spent more time than I initially wanted on researching Token Factory and its use cases, but it really helped me to understand that this is something that gives $NBIS an unfair advantage against others in the sector. You should really understand this part of their business if you are an investor, so I will gladly answer your questions. If you found this a valuable read, follow me for more. Thanks! (picture is from ChatGTP)