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It seems that the #AI #supercomputer that, at this time last year predicted @GeorgeRussell63 as #Formula1 champ, wasn't very intelligent.
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The US Said No. India Built Its Own Supercomputer in 3 Years 💻 #Shorts #PARAM #Supercomputer #India #CDAC #Tech
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❄️ Welcome LUMI ❄️ The fastest & most energy-efficient #supercomputer in Europe, 3rd fastest in the world, will be inaugurated today in Kajaani 🇫🇮. Part of @EuroHPC_JU, thanks to its massive computing capacity Lumi will be a protagonist in the EU #DigitalTransformation ⚡️🚀
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Japanese #supercomputer #simulations may explain #Webb's #LittleRedDots Supercomputer ATERUI III revealed the true nature of mysterious Little Red Dots without exotic assumptions, pointing to a surprising growth rate in the early universe >> scitechupdates.com/japanese-…
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As chief architect of @IBM's Blue Gene family, Alan Gara transformed #supercomputer design, proving that extraordinary performance could come from energy-efficient, tightly integrated architectures and scalable system engineering. Read more here: ow.ly/5wps50ZLApw
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Könnt ihr mir mal erklären, wie die Pappeneimer in Bern @ParlCH das genau machen wollen. Ausser Verboten können die herzlich wenig - und selbst die bringen nicht, da sie immer noch nicht verstanden haben, wie das #internet funktioniert. #ki #supercomputer
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@VitalikButerin 🧠 Solving an issue which doesn't exist yet means: It will become an issue in the future. #Supercomputer #Quantum #flux
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No single machine. No single location. QuantumGrid brings distributed computing resources together to operate as one decentralized supercomputer. Built to scale with demand. $QGRID #SUPERCOMPUTER #ROBINHOOD #AI #GPU
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AI needs compute. QuantumGrid is building the infrastructure to deliver it through a distributed network of computing resources. From AI inference to demanding workloads. Power AI. Power Compute. $QGRID #AI #SUPERCOMPUTER #ROBINHOOD
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Im Labor gezüchtete Gehirne werden in #Roboter und #Supercomputer integriert.
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Time for some #supercomputer fun! Reply to or quote this post adding your best AI generated image on theme of "supercomputing". No cheating wth real photos (who thought we'd ever say that!?) We/I will pick the top 3. No prizes for winners, merely satsisfaction. #HPC #AIinfra
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Rightly said: "Great nations are not built on borrowed technology." #India #Technology #SuperComputer
In 1987 America refused to sell India a supercomputer. It then offered a weaker model instead, with conditions. Civilian use only. No technology transfer. No re-export. And an American official would be posted in India to monitor how the machine was used. India said no, and handed the job to a man who had never seen a supercomputer in his life. His name is Vijay Bhatkar. He was born on 11th October 1946 in Muramba, a village in Akola district in Maharashtra. He started school directly in class 4. He took his engineering degree at Nagpur, a master's at Baroda and a doctorate at IIT Delhi. India had wanted the machine for a very ordinary reason. Weather forecasting, which for a country of farmers is not a luxury. The Indian Institute of Science wanted one for research. The Americans classed supercomputers as dual use technology, meaning it could also help a nuclear or missile programme. So the export was blocked. In March 1988 the government set up the Centre for Development of Advanced Computing in Pune, and made Bhatkar its founder and executive director. Before that, the Prime Minister asked him 3 questions. Can we do it. Bhatkar said he had never seen a supercomputer, only a photograph of the Cray, and that yes, they could. How long will it take. He said less time than it would take to keep trying to import one. How much will it cost. He said the entire effort, including building the institution, would cost less than buying the Cray. He was given about 30 crore rupees and 3 years. The start was not glamorous. He has said that for the first 6 months he could not recruit a single person, including his own secretary, because of bureaucratic delays. His team took a different route from the Americans. Instead of building 1 enormous processor, they linked many ordinary processors together to work in parallel, using parts that could be bought off the shelf. The prototype was ready in 1990. They called it Param, which in Sanskrit means supreme. Then came the part he did not expect. Nobody believed it was a supercomputer. It did not look like a Cray. He has said even his own computer science professors doubted it. So he took it abroad, to a major international supercomputing conference, and had it demonstrated and benchmarked in public. It was formally recognised there as a supercomputer. In 1991 they completed PARAM 8000. An American newspaper carried the story under a headline that has stayed famous in India. Denied supercomputer, angry India does it. Versions of the machine were later exported to Germany, the United Kingdom and Russia. India went from being refused the technology to selling it. He has one line he repeats. Great nations are not built on borrowed technology.
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Dillon Gabriel’s Team on the first drive, it’s 3rd and 25. Yeah. 3 Pre snap penalties. Yikes.
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I’ve been experimenting a lot lately with AI Employees inside @higgsfield #Supercomputer, and these four videos are all outputs from one of the Employees I’m currently building and training. The idea behind this one is pretty simple: give it a brand, product, or website, and let it handle much more of the advertising workflow itself - research the brand, understand its visual DNA, look at the competitive space, choose a direction, build the concept and pre-production, and then move into actual video generation. What I find especially interesting is that this isn’t really about making AI “press one button and magically create an ad.” It’s much closer to building your own production logic. You can teach an Employee how you want it to research, how much freedom it should have, which models and workflows to use, what makes a concept good enough to move forward, how strict it should be about product consistency, when it should create storyboards first, how it should approach camera language, and even how it should QC the final result. And then you keep refining it. Some of these workflows can easily take 10–20 minutes from the initial task to finished generations, especially when #research and pre-production are involved. But the interesting part is that I don’t really have to sit there and manually execute every stage anymore. And because Supercomputer can run multiple tasks at the same time, the equation changes even more. Instead of spending those 10–20 minutes producing one direction manually, I can launch several different tasks or creative directions in parallel and come back to a much larger pool of material in roughly the same window of time. That’s probably the part I’m enjoying the most right now: not just saving individual clicks, but multiplying how many ideas I can actually explore. The Employee itself is still very much a work in #progress. I’m constantly changing instructions, testing where it needs more #control and where it actually performs better with more creative freedom. Some decisions still need human judgment, and there are plenty of things I want to improve. But these four #videos came out of that process - different directions, different executions, all produced through the same evolving system. And the #results are already making me very curious about where this way of working goes next. AI Employees become much more interesting when you stop treating them like assistants and start treating them like #workflows you can teach, test, and continuously improve.
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"Anyone can build a fast CPU. The trick is to build a fast system." - Seymour Cray, 1964 "Anyone can build a fast system. The trick is to build a usable, reliable, and affordable fast system!" - me 2026 #AI update - "and get it into production quickly" :-) #hpc #supercomputer
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100,000基のGPUが19日で稼働。 速度そのものが思想になる時代。 イーロン氏とチームの実行力に、ただ静かに驚嘆。 #AI #Tesla #Supercomputer #ElonMusk
"What Elon and the team achieved is singular. It has never been done before." Building a massive AI supercomputer is usually measured in years. Yet 100,000 GPUs were brought online and running in just 19 days. Not months. Not years. Nineteen days
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China's Tianqiong #supercomputer redefines scientific research--Unlike traditional supercomputers, where data flow can resemble congested one‑way traffic, Tianqiong is designed with a 3D network architecture, allowing data to move in multiple directions simultaneously. #ChinaTech
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