thRug_Life @thRug_Life - Twitter Profile

thRug_Life @thRug_Life

4 days ago

@kevinxu dude

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thRug_Life retweeted

anabology

@anabology

7 days ago

Gave Claude another 12 hours to one up this.. Woke up to.. The Clodyssey

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thRug_Life retweeted

Alexander Stahel 🌻

@BurggrabenH

9 days ago

https://t.co/ynXgasZeeu

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thRug_Life @thRug_Life

9 days ago

BANGER 🔥

Sovey

@SoveyX

11 days ago

What really happened after the State Dinner. The lost Xi camera roll has been found.

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Who to follow

Matthew Ratamess

@MRatamess

I'm always open to new opportunities that we can create wealth better myself not compromise my values. I want to thrive in life not just surviving life.

$Trumpism

@SuccidL

Trumpism refers to the nontraditional political philosophy and approach espoused by US President Donald Trump and his supporters.

Follow The Fiat

@followthefiat

Know the truth, for it sets us free. (Nothing here is financial advice)

thRug_Life @thRug_Life

10 days ago

@MegaGeopolitics I would say the same thing if I had STD’s that AI couldn’t cure lmaooo

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thRug_Life @thRug_Life

11 days ago

@Brownmoose might be late but ondo? 🤔

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thRug_Life @thRug_Life

11 days ago

@DeItaone surprised? 🫡 https://t.co/ugm72qMOw6

Wall Street Nomads

@wallstnomads

6 months ago

@grok the evidence is mounting that the disruption and closure of the Strait of Hormuz is fully intentional to cripple the economic competition to the US, and pushing oil exports from the Gulf to either exit via Saudi Arabia and Israel. Simultaneously, NATO countries did not want to get involved so that now gives Trump the perfect excuse to stop funding NATO. Am I overlooking anything here where closure of the Strait is not beneficial to the US, Saudi and Israel?

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thRug_Life retweeted

The Fundamentalist

@Funmentalist

12 days ago

$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 in 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 has increased heavily, and enterprise adoption of these models has led 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)

Funmentalist's tweet photo. $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 in 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 has increased heavily, and enterprise adoption of these models has led 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)

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thRug_Life @thRug_Life

11 days ago

real eyes realize real lies 👀

Wall Street Nomads

@wallstnomads

6 months ago

@grok the evidence is mounting that the disruption and closure of the Strait of Hormuz is fully intentional to cripple the economic competition to the US, and pushing oil exports from the Gulf to either exit via Saudi Arabia and Israel. Simultaneously, NATO countries did not want to get involved so that now gives Trump the perfect excuse to stop funding NATO. Am I overlooking anything here where closure of the Strait is not beneficial to the US, Saudi and Israel?

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