According to the tag cloud, the following results have been found:
Hello, tekkix. This is the T1 Cloud team. If you keep up with the news in the server GPU world for ML, you surely know about the Nvidia H100—the computation powerhouse of a GPU, which doesn’t even have a video output. It plays an important role in machine learning, big data analytics, 3D modeling, and much more. This is enterprise-level hardware, so unless you’re one of a few hardcore enthusiasts, you probably won’t have one at home.
March 31 is a day meant to bring together those who make backups and those who don't yet. And to quickly reduce the number of the latter. At beeline cloud, we've decided to touch on this topic and talk about when and who first started celebrating "Backup Day," and how this tradition has developed.
The writing of this article was prompted by two reasons. Firstly, due to initially established reasons, a trivial task turned into an interesting and exciting adventure. Secondly, the point in this story has not yet been made, and among the comments, there are useful tips.
Recently, NVIDIA announced that the release of the GB200 NVL72 supercomputer on the Blackwell architecture is delayed, and the GB300 superserver will be released in mid-2025. It turns out that these devices will be released almost simultaneously with the Rubin architecture, although the latter is positioned as next-gen. In the article, we will consider these technologies and try to understand why the company is in such a hurry to release the new platform.
My team and I decided to create a cloud. Not the kind of cloud that says "move your files to the cloud," and not even the kind that says "deploy your site on our CMS, domain included." But the kind that comes to mind when you use the word "hyperscaler."
As stereotypical and annoying as this approach may seem, at the end of the year I sit down and determine for myself a list of priority areas that make sense to observe and keep in mind when planning and making decisions. Otherwise, you can seriously consider, for example, outdated technologies that will quickly and cheaply become a crutch today, but tomorrow they will become obsolete and drag the entire IT infrastructure to the bottom.
Good afternoon, colleague or random reader. My name is Pavel, I am a duty system administrator at Nubes. My colleagues mistakenly sent me access to tekkix, and I, without telling anyone, decided to secretly share how my work shift goes. I hope I won't be punished, hehe.
In recent years, there has been a trend towards the use of cloud computing, with companies increasingly preferring it when developing their information infrastructure.
In the modern internet, many face the question of how to bypass blocks and protect personal data. And, while VPN applications are well-known, solutions like Shadowsocks, VLESS, and VMess often remain behind the scenes.
In the life of every HR, sooner or later, HE appears... Security professional! And how to approach hunting people for this position is usually unclear.
The VK Cloud team translated an interview with Aidan Gomez, CEO and co-founder of Cohere. Cohere is one of the most talked-about AI startups at the moment, but its focus is slightly different from many others. Unlike, for example, OpenAI, it does not produce consumer products at all. Instead, Cohere focuses on the corporate market and creates AI products for large companies. From the interview, you will learn about the features of this approach, what AI can and cannot do, and what is happening in the corporate artificial intelligence market.
Modern technologies and the development of digital services make us increasingly dependent on data preservation, their security, and most importantly, accessibility. Therefore, even home users, not to mention corporate ones, regularly face the need to organize a system that would ensure reliable file storage, their protection, and convenient access to them. A logical solution to this problem is the organization of network data storage. That's what we'll talk about today.
Hello, tekkix! Small businesses and large companies have long been asking the question: what is more profitable - cloud resources or your own equipment? The cloud seems like an ideal solution, but upon closer analysis, it is not so straightforward, especially in the long term. At ServerFlow, we compared the most popular configurations in the cloud and on-premise, noting the pros and cons of each option for working with equipment. Details are in the article!
In the new version v9.8.5, Nuclei Templates have added templates for checking AWS Cloud configuration. In this post, we will discuss automating the verification of incorrect configurations in the cloud, creating custom AWS checks, and sharing results on the PDCP Cloud platform for further analysis.
When you stand on the surface of the Earth, you experience collisions of surrounding atoms and molecules of the atmosphere with your body.
Imagine: you have a large company with offices from Moscow to the Far East, hundreds of facilities, thousands of shift workers, and an ancient 1C server that barely copes with the load. Sounds like a nightmare.