Hey

So I gave myself a task to install Joborun on qemu virtual machine.
For that I am going to need a gnu/linux .iso with arch-chroot scripts.

For that I am going to use Hyperbola GNU/Linux-libre .iso on my usb stick.

So first thing obviously is to put .iso into usb stick
for that we gotta get into dir with the hyperbola.iso
ls is for list directory
cd is for change directory
dd is for putting the .iso image into usb-stick
fdisk -l is for list of currently mounted storage devices.

/dev/sda are partitions of my laptop
/dev/sdb is the usb stick
so after localizing hyperbola .iso...

find . -type f -name '*.mp3' -exec du -ch {} + |tail -1

Nvidia passes Google’s market cap, now world’s fourth most valuable company | Ars Technica  | arstechnica.com

Quote:<Porter>  

Quote:  ok, but can an H200 run doom? — Nvidia passes Google’s market cap, now world’s fourth most valuable company Nvidia might soon be worth more than the world's biggest oil company. Ron Amadeo - Feb 15, 2024 7:08 pm UTC EnlargeGetty Images reader comments 43 Nvidia used to be a gaming GPU company, but the company's value has absolutely skyrocketed thanks to the AI craze and a GPU's value in
<Porter>  accelerating AI workloads. A few purpose-built chips later, like the H100 Tensor Core GPU (with a price of $25,000-$40,000!) and A100, and Nvidia's stock is up 50 percent this year. At press time, Nvidia's market cap is now $1.8 trillion, beating Amazon ($1.76 trillion) and Google's parent company, Alphabet ($1.77 trillion), to become the world's fourth most valuable company. How much
<Porter>  further can Nvidia's blazing stock rally go? Next up on the 'highest market cap' list is Saudi Aramco, the national oil company of Saudi Arabia, at $2.0 trillion; then Apple, at $2.8 trillion; and another company riding the AI wave, Microsoft, at $3 trillion. Further ReadingNvidia’s GeForce GPUs are selling well, but its AI GPU sales are ridiculousNvidia's next earnings report is
<Porter>  February 21. The last one was for Q3 2023, showing that the company is basically selling every AI chip it can make. Revenue was up 206 percent from the same quarter last year, and of the company's $18.12 billion in revenue, $14.51 billion was generated by its AI/data center division. Q4 will probably be another record-setting quarter for the company, and coming up in Q2 2024, Nvidia will
<Porter>  launch its next-gen AI chip, the HGX H200 Tensor Core GPU. A TrendForce estimate puts Nvidia's AI server market share at 60–70 percent. One potentially scary thing for Nvidia is that a lot of AI companies are looking into building their own chips. OpenAI CEO Sam Altman wants to see trillions more invested in AI chip infrastructure, which would dwarf the current ~$500 billion chip
<Porter>  industry. Altman and Nvidia CEO Jensen Huang are actually at odds about how the future of AI chip production should scale. Altman recently tweeted: "We believe the world needs more AI infrastructure—fab capacity, energy, datacenters, etc—than people are currently planning to build. Building massive-scale AI infrastructure, and a resilient supply chain, is crucial to economic
<Porter>  competitiveness." Advertisement Huang, responding to that Wall Street Journal report, doesn't think that much more production is warranted, saying, "You can’t assume just that you will buy more computers. You have to also assume that the computers are going to become faster and therefore the total amount that you need is not as much." There is a huge AI chip shortage right now, so
<Porter>  basically, every big AI player has some kind of chip program going. There are programs from Microsoft, Amazon, IBM, AMD, Google, and possibly others. Will anyone ever be able to catch Nvidia, though? reader comments 43 Ron Amadeo Ron is the Reviews Editor at Ars Technica, where he specializes in Android OS and Google products. He is always on the hunt for a new gadget and loves to rip
<Porter>  things apart to see how they work. He loves to tinker and always seems to be working on a new project. Advertisement Channel Ars Technica ← Previous story Next story → Related Stories window._taboola = window._taboola || []; _taboola.push({ mode: 'thumbnails-a-6x1', container: 'taboola-below-article-thumbnails---at', placement: 'Below Article Thumbnails - AT', target_type: 'mix' });
<Porter>  Today on Ars  [UnQuote] 
<Porter>  Nvidia passes Google’s market cap, now world’s fourth most valuable company | Ars Technica  parsing completed (Limit: Upto 10 lines).

Porter Wrote:"A Unix shell is a command-line interpreter or shell that provides a command line user interface for Unix-like operating systems.  The shell is both an interactive command language and a scripting language, and is used by the operating system to control the execution of the system using shell scripts.Users typically interact with a Unix shell using a terminal emulator; however, direct […

Porter Wrote:Python (programming language) | "Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.Python is dynamically typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is […]

Porter Wrote:"Perl is a high-level, general-purpose, interpreted, dynamic programming language. Though Perl is not officially an acronym, there are various backronyms in use, including "Practical Extraction and Reporting Language".Perl was developed by Larry Wall in 1987 as a general-purpose Unix scripting language to make report processing easier. Since then, it has undergone many changes and revisions. Perl […]"

Dumping chemicals in the ocean? Spraying saltwater into clouds? Injecting reflective particles into the sky? Scientists are resorting to once unthinkable techniques to cool the planet because global efforts to check greenhouse gas emissions are failing. From a report:

Quote:These geoengineering approaches were once considered taboo by scientists and regulators who feared that tinkering with the environment could have unintended consequences, but now researchers are receiving taxpayer funds and private investments to get out of the lab and test these methods outdoors. The shift reflects growing concern that efforts to reduce greenhouse gas emissions aren't moving fast enough to prevent the destructive effects of heat waves, storms and floods made worse by climate change. Geoengineering isn't a substitute for reducing emissions, according to scientists and business leaders involved in the projects. Rather, it is a way to slow climate warming in the next few years while buying time to switch to a carbon-free economy in the longer term.

Three field experiments are under way in the U.S. and overseas. This month, researchers aboard a ship off the northeastern coast of Australia near the Whitsunday Islands are spraying a briny mixture through high-pressure nozzles into the air in an attempt to brighten low-altitude clouds that form over the ocean. Scientists hope bigger, brighter clouds will reflect sunlight away from the Earth, shade the ocean surface and cool the waters around the Great Barrier Reef, where warming ocean temperatures have contributed to massive coral die-offs. The research project, known as marine cloud brightening, is led by Southern Cross University as part of the $64.55 million, or 100 million Australian dollars, Reef Restoration and Adaptation Program. The program is funded by the partnership between the Australian government's Reef Trust and the Great Barrier Reef Foundation and includes conservation organizations and several academic institutions.

Porter Wrote:Lua ( LOO-ə; from Portuguese: lua [ˈlu(w)ɐ] meaning moon) is a lightweight, high-level, multi-paradigm programming language designed primarily for embedded use in applications. Lua is cross-platform, since the interpreter of compiled bytecode is written in ANSI C, and Lua has a relatively simple C API to embed it into applications.Lua originated in […]

Porter Wrote:C (pronounced  – like the letter c) is a general-purpose computer programming language. It was created in the 1970s by Dennis Ritchie, and remains very widely used and influential. By design, C's features cleanly reflect the capabilities of the targeted CPUs. It has found lasting use in operating systems, device drivers, and protocol stacks, but its use […]"