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Warganet  – The United States is currently investigating whether Singapore is responsible for supplying Nvidia’s AI ship to China. Green’s team now 20 % AI revenue is at stake

NVIDIA RTX 5090 may take up to 16 weeks to get stock at the UK retailer, RTX 5080 will return very soon

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Next generation Intel of Nova Lake CPU core configuration rumors on doubling body with E -Celses, up to 16 p and 32 e -cores,

Ai Hardware Stocks Get Pummeled Even As Big Tech Keeps Spending

Famous City Bloor Edward Snowden spoke against Nvidia’s RTX 50 Series GPUS, criticizing its poor cost and performance.

The AI ​​markets have cheated on low -cost depression. Are actually 400 times higher than the reported data

The GeForce RTX NVIDIA’s 5090 Depapsek R1 dominates the reduction performance on AI models, with the RX AMD 7900 XTX left behind a huge margin.

Intel confirmed the launch of Panther Lake, which is in the second half of 2025, followed by Nova Lake CPUS 2026

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Nvidia CEO Jensen Huang hopes to meet with President Donald Trump today, perhaps the future of the AI ​​market will be developed.

The RDNA 4 GPU AMD will get “a considerable” radv support with the release of MESA 25.0, which will reduce only two ingredients.

The GeForce RTX Nvidia’s 5090 “Release Chaos” starts. Japan sees a chaos launch with global retailers now see one -digit inventory level

NVIDIA GeForce RTX 5090 & RTX 5080 GPUS is now available: All models are available on large retailers available here

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Nvidia GeForce Game Ready 572.16 Driver is currently available: RTX 5090 & RTX 5080, DLSS 4 Support in many games and more

Radeon RX 7900 XTX AMD beat the GeForce RTX 4090 NVIDIA in Depsek’s AI Disk. Here you can run R1 on your local AMD car

Japanese retailer Nvidia GeForce RTX 5090 & RTX introduces lottery systems to sell day launch at 5080 GPUs

Giga bite has a list of several custom models in Jeffor RTX 5080 on Best Bayt, starting up to 9999 and $ 1, 399.

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GeForce RTX NVIDIA’s 5090 is observed the “Stockout” due to significant demand; AIBS is able to meet inventory goals that result in retail launch delay

Intel raises the Linux driver three new buttlags PCIDs, shows the release of new DGPU models designed by EXO, which changes easy programs to my performance engineers to help those who explain what they want to count in very complex programs that explain just like this, Very fast.

Moore’s law needs to embrace. Small silicon computer chips rely on transplantation, and life boots – exclusive hardware – come with cost.

When you program an actress – a process where applications unload some hardware work, especially accelerate this task – you have to do a new software support. Executive material processors may run some work faster -faster than processors, but may not be used outside the box. The software needs to be used efficiently using the instructions of the axullators to make it compatible with the entire application system. This is translated into a lot of engineering work, after which you have to hold for a new chip on which you are placing the code, and any programming language.

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At present, scientists from the MIT’s computer science and artificial intelligence laboratory (CSAIL) have developed a new programming language called “EXO” to write high -phase code on hardware. EXO helps lower -level performance engineers change very easy programs that explain what they want to count, in very complex programs that work as specific, but these are very fast using special accelerator chips. Engineers, for example, can use EXO to convert a simple matrix into a more complex program, which runs fast orders using these special accelerators.

Unlike other programming languages ​​and composers, EXO is made around a concept called “exoccompilation”. “Traditionally, much research has focused on automating the correction process for specific hardware,” says Yuka Akashi, a student associated with electrical engineering and computer science and CSAAL. “This is great for most programmers, but for performance engineers, the kernel comes in the way of aid. Since the kernel correction is automatic, no one fix it. Not a good way when it does wrong and it is low You 45 % performance instead of 90 %.

With the expocation, the performance engineer returned to the driver’s seat. The responsibility to choose is to apply reforms, air, and in that order, the performance engineer is returned. So they don’t have to waste time fighting on one side, or on the other hand manually. At the same time, EXO accepts responsibility to ensure that all these reforms are correct. As a result, engineers in performance can spend time improving performance rather than debugging the corrected code.

“EXO Language is a composition hit by a targeted hardware. + Code compiled for an excellent new, exo gives you a summary of writing ‘form’ in the hardware you want to target – then you can Reuse existing compilation to adopt this new explanation instead of completely new writing from the beginning. Each new hardware ideology, they can try and more can send this industry to break down its dependence on legacy hardware, which is successful only because of the environmental blocking system and despite its incompetence.

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Today, high -performance computer ships, such as Google’s TPU, Apple’s nerve engine, or Nvidia Core Tensor, scientific power and machine applications such as “sub -program,” kernel, or high performance. Subrotines.

Set the jurgun clonak aside, the programs are necessary. For example, the basic linear algebra is a “library” or a combination of subbrotines, which is dedicated to linear algebra calculations, and allows many machine learning work such as nerve discovery in networks, weather forecasts, cloud counts, and drugs. .

Currently, though, such performance is still but -wored to ensure that each last cycle of calculations is used on these chips. HPC Subrotine regularly operates on peak theoretical performance regularly, and hardware engineers go to a large extent to increase those theoretical heads by five or 10 %. Therefore, if the software is not aggressive to improve, all this hard work is wasted – which is exactly what helps to avoid EXO.

Another key section of Akocococcus is that performance engineers can explain new ships for which they want to improve, without changing the compiler. Traditionally, the hardware interface is maintained by developers, but most of them, and the new Excelor ships, must be the hardware interface. Companies must keep their copies in a complete traditional composition to support their specific chips. This requires service team developers as well as performance engineers.

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“In Exo, we instead make the definition of hardware related to backward definitions from exterior ecocymapler. This gives us a better separation between exo-which is an open source-and a specific code containing Reports to the hardware-often showed that we can use EXO quickly, such as a post performance in California, Gilbert Burnstein in Berkeley.

Exo’s most productive schedules can be found in the future of the meta language, and has increased its words to support parallel programming patterns to apply to more artists, including GPUs.

Akarashi and Burnstein wrote the article with Alex rankings and Hassan junk, both students at UC Berkeley’s PhD, and Assistant MIT Professor Jonathan Ragan Kelly.

This work was partially supported by the application of the Architecture Center, one of the six jump centers, a semi -conductive research corporation program in collaboration with advance research project agencies. The akarashi festival was supported by the scholarship, Missson Foundation, and the great thanksgiving educators. The team served at the ACM conference on the design and application of the programming language.

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A new approach, which takes minutes instead of days, predicts how a specific DNA continuity will arrange itself to the cell core.

In the United States and abroad, Matthew Dolon ’81 has served as a leader in immunology and VIology. Have you ever thought of the unseen aspects of AI’s incredible ability? The beyond algorithm and applications are an important issue: AI hardware, especially enhancing permanent in Nvidia GPUs, and its impact on its stability and global competitiveness. Let’s dive into what it means for the AI ​​world.

There are GPUs at AI’s computer center capabilities, running everything from powerful search engines to everyday applications. As AI is ready on electricity