[Automatic captions by Autotekst using OpenAI Whisper V3. May contain recognition errors.] And with me here I have Leon, I'm the leader for TST.
And Jon, I'm the leader for the HPC part.
So we discussed a bit about how we're going to...
in this intro, and then Leon says, okay, we have a researcher.
Sit down, Leon.
Take it away.
I'm a researcher, and I want some answers about some phenomenon.
Then it's a little likely that I'm going to do it without using data, if I'm not in mathematics.
So let's say that I...
I have to research data that is collected from people.
I live in Norway, and we have GDPR, which demands how I should work with this data.
Let's say I have many terabytes of data.
What should I do?
I may have to cooperate with people who are not in Norway.
That's very typical.
How am I supposed to solve that?
Gerd was a researcher, and he told us earlier about how bad it was to be a researcher, because there were such bad IT solutions.
So he thought it was so bad that he stopped researching, and started building good IT solutions for research.
And that's a lot to do with the legacy, to build this further.
We're going to show you how we got the image generator in the KI part.
This is what we got when we asked the AI model to make some researchers.
TSD and network networks have become part of a larger solution.
We will talk about integration with HealthNorge later today.
Often you collect data from people who are not really that interested in the research itself.
They just give their opinion that you can research on their data.
And then they don't feel like caring about all the research systems that are involved in the background.
And neither do people who work in clinical management.
They may not feel like
get an extra login to set up a schedule.
And those who need to have an overview of the collaborations, they don't want to worry about the systems that the researchers use.
Do you think it's especially about journal data research?
Yes, for example, data that could have been in the journals, but not just that.
Just as a principle, if we build research units, we must remember that a research project is often a collaboration between researchers and non-researchers.
It's a big project and we have to build it in such a way that we take into account the other systems that already exist in Norway to collect data, collect data and so on.
And that's in the context that we have looked at integrating with Health Norway, because that's where the builder's health is on the surface.
Earlier, it was a bit of a black box when you came in, and everything was safe as long as you had the data in there, and you could get data in and out through heavier processes.
But as two examples, we have now been able to integrate Sømnes with HelseNorge, and also have the opportunity to deliver data directly to you.
in the OS, its archive... Quality registration... Follow the channel...
And this didn't work a year ago.
Let's say you get a message from Health Norway.
We're going to put you in our MedInsight system, and you'll be sent via the TSD network, and a valid consent will end up on the servers of the OS in MedInsight.
This didn't work a year ago, but it works today.
It's exciting that it's become a piece of cake.
in larger systems.
Gard flashed some numbers earlier.
Here is some data about TSD.
Yes, the first abbreviation is often used in IT contexts.
We are a platform as a service.
Plus, it means that we do other things as well.
A platform as a service means that you just set up your data and your approvals and start researching.
You don't need to build IT infrastructure yourself.
But we are flexible and we help those projects that need to build more.
Then you can actually buy your own hardware if it is necessary.
And then we run it on the basis of cross-projects.
So OTSD has become much more than a platform, and that's what we're going to tell you more about today.
Our research platform consists of much more than what many users see, which appears to be just a virtual machine.
It's a much larger solution.
If we look at our data usage, 8 petabytes is a lot of data.
It has increased a lot.
The number of active projects has perhaps flattened out somewhat.
Yes, it's the projects that are ending.
Yes, quite an aggressive ending.
It's a certain cost per project, so many have to finish them.
And that's fine.
But they use more actively.
The projects we have should have much higher activity.
That's a trend we see.
And then just to show it to you, it can appear in this way here.
It's good to make it a bit more concrete.
It may sound very mystical, but in the end, it's a desktop that you can relate to, where you work as usual, just that it's virtual.
In addition, you have websites, our web services, that have an integration with the platform.
And then we have a picture of a GPU there.
To point out that we have heavy infrastructure in the background, it is also very important that it is not just a desktop.
You have access to powerful, clean resources.
And a lot of logos for software, well-known software.
An important principle is that you can choose which software you should use.
So we'll show you more of this during the day.
We'll go through the online schedule.
I tried to push it to a 25-year anniversary, but some developers were very determined.
No, it's 23.
I'm very used to adding numbers, but I wasn't allowed to do that.
So I thought, well, it's fun with a 23-year anniversary.
It's almost like being 46, which is a bit of the same genre.
Netskjømmet is our service solution, which has been a very good solution.
We have a high level of development at Netskjømmet, and we have a lot of users.
I easily assume that we have 100,000 active users, but I don't have a complete reason for that, but I would guess we are up to that, because we were about 60-70,000 last time I checked, in the number of people who make collections.
We are going to get a lot of new features, because there has been a lot of development with NetSchema, because it has gotten a big technical boost, which makes it possible for us to launch new features.
NetGem is able to deliver data to TSD, and that has happened a lot in the last few years, regarding how you access the data.
I'm not going to talk about how it was before, but it was much worse before.
It was a miracle that you got hold of it before.
Yes, it was a miracle that we got hold of it before.
Okay, but Gard mentioned a bit about EduCloud.
EduCloud is a more modern version of TSTO in one way, and many use EduCloud for what we define as category red data.
There are different considerations that we make around the use of EduCloud.
But in a way, we can also say that EduCloud is now running everything that shouldn't be in TST.
That's a little principle.
that we should use it as a research platform for much more than just having a desktop.
I hope it comes out a little clearer when we have more presentations later today, because one of the coolest things we have in EduCloud is this fox here.
Jon, why do we still have supercomputers?
We have become very good at collecting a lot of data.
And sometimes all the data you collect doesn't fit in one machine.
You have to use a larger system to get it collected.
No, to get it calculated.
So that's why we still need HPC applications.
And there's also the GPU picture... What does HPC mean?
What does it say?
High Performance Computing.
Like the Norwegian Supercomputer?
Yes, it was Danish Supercomputer.
If you're going to say HPC, say Supercomputer.
What is a supercomputer?
Is there one?
How many computers are there in Fox?
In Fox there are about 40 nodes.
Nodes are a machine.
Yes, a node is a machine.
20 of them have GPUs, the rest don't.
What are they?
They have regular CPUs.
CPUs are Computing Processing Units, and GPUs are Graphical Processing Units.
We'll talk about that later, but FOX is a concept, is that right?
Yes, you can say that.
When we buy powerful computers today that are not going to be in TSD, it will be in FOX.
And that's something we'll be able to reuse more of what we buy from hardware.
Yes, because a lot needs iron, not just the traditional jobs.
In the course of the day in Lagos, we can show how anyone who wants can go in and run rain jobs on FOX.
In the old days, typically in 2022 and such, you had to be able to program some to be able to send jobs into FOX.
Now it's not like that anymore.
So that's also a change.
I found a picture online that my colleague had on a presentation, and it says, this is Colossus.
What is Colossus?
Colossus is Fox's brother, but it's in TST.
Big brother or little brother?
Brother.
I think they're probably twin brothers, but they were born at different times.
There's also a bit of sensitive data, so it depends on being able to drive...
within TST, so you couldn't use a sky service instead.
What is it on that IC?
Is this CPU, GPU, or...?
This is mostly disk, actually.
Most disk, yes.
Yes, you can see the disk is standing... 8 petabytes?
To the right there.
Yes, now it's standing.
But this is also the core of Colossus.
There we can perhaps mention that we...
We're on our way to upgrading Colossus.
A lot of what's there is getting old, so we have to buy new stuff.
So if anyone here has any input on what they want from Hardware... Input means money.
Yes.
Input?
That's what we call it.
Let's call it that.
But we want some... If we buy new Hardware, we want to buy real Hardware.
So if there's anything special you need, then...
It's the same with FOX, but when we buy GPUs and CPUs and attach them to sensitive data, it's supposed to be a colossus.
And that's part of our new strategy, to have much more shared resources, because we can do it in a very effective way.
As a green university, we shouldn't have CPUs and GPUs that are idle when others need them.
We'll show you later how you can run the AI model that makes the images that we run.
We'll show you that later.
You had made an image that I got from you.
What was the instruction for that image?
Stable diffusion.
I asked about images of Colossus and Fox.
Is Colossus a wolf?
Apparently.
This is unknown from before.
I've never seen it before.
He looks like the big brother.
I saw a picture from Mars, and apparently he can take off his helmet there.
So Colossus is probably a wolf or a fox.
Do you have any final remarks, Leon?
No, I have something to say afterwards.
Yes, yes.
Don't say everything at once.
Then we'll take questions.
You don't have to ask in too much detail, because it will come later, probably.
But if there are any questions, we can take them now, before we get started.
I hope this gave a little overview of the services we have.