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HPE expands AMD collaboration to advance open rack-scale AI | Computer Weekly

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HPE expands AMD collaboration to advance open rack-scale AI | Computer Weekly


Looking to no less than “redefine what is possible in high-performance computing”, processor giant AMD has announced an expanded collaboration with HPE to accelerate the development of what the firms say will be the next generation of open, scalable artificial intelligence (AI) infrastructure built on AMD leadership compute technologies.

The principal part of the partnership will see HPE become one of the first system providers to adopt the AMD Helios rack-scale AI architecture, which will integrate a purpose-built HPE Juniper Networking scale-up switch – in collaboration with Broadcom – and software for seamless, high-bandwidth connectivity over Ethernet.

Helios combines AMD EPYC central processing units (CPUs), AMD Instinct graphics processing units (GPUs), AMD Pensando advanced networking and the AMD ROCm open software stack to deliver what is being described as a cohesive platform optimised for performance, efficiency and scalability. AMD says the system is engineered to simplify deployment of large-scale AI clusters, enabling faster time to solution and greater infrastructure flexibility across research, cloud and enterprise environments.

Built on the OCP Open Rack Wide design, Helios is designed to help customers and partners streamline deployment timelines and deliver a scalable, flexible offering for demanding AI workloads. The Helios rack-scale AI platform delivers up to 2.9 exaFLOPS of FP4 performance per rack using AMD Instinct MI455X GPUs, AMD EPYC Venice CPUs and AMD Pensando Vulcano network interface cards for scale-out networking. This is all unified through the open ROCm software ecosystem that the company claims will enable flexibility and innovation across AI and HPC workloads.

“HPE has been an exceptional long-term partner to AMD,” said AMD chair and CEO Lisa Su. “With Helios, we’re taking that collaboration further, bringing together the full stack of AMD compute technologies and HPE’s system innovation to deliver an open, rack-scale AI platform that drives new levels of efficiency, scalability and breakthrough performance for our customers in the AI era.”

HPE says the partnership has enabled it to integrate differentiated technologies for its customers, specifically a scale-up Ethernet switch and software designed for Helios. Developed in collaboration with Broadcom, the switch delivers optimised performance for AI workloads using the ultra accelerator link over Ethernet (UALoE) standard, reinforcing the AMD commitment to open, standards-based technologies. 

HPE president and CEO Antonio Neri said: “For more than a decade, HPE and AMD have pushed the boundaries of supercomputing, delivering multiple exascale-class systems and championing open standards that accelerate innovation. With the introduction of the new AMD ‘Helios’ and our purpose-built HPE scale-up networking solution, we are providing our cloud service provider customers with faster deployments, greater flexibility and reduced risk in how they scale AI computing in their businesses.”

HPE will offer the AMD Helios AI Rack-Scale Architecture worldwide in 2026. 

It also revealed that Herder, a new supercomputer for the High-Performance Computing Centre Stuttgart (HLRS) in Germany, is powered by AMD Instinct MI430X GPUs and next-generation AMD EPYC Venice CPUs.

Built on the HPE Cray Supercomputing GX5000 platform, Herder is designed to offer performance and efficiency for HPC and AI workloads at scale.

HPE and AMD believe that the combination of their respective compute portfolios and system design will create a powerful tool for sovereign scientific discovery and industrial innovation for European researchers and enterprises. Delivery of Herder is scheduled for the second half of 2027 and it is expected to go into service by the end of 2027.

“Our scientific user community requires that we continue to support traditional applications of HPC for numerical simulation,” said Michael Resch, director of HLRS. “At the same time, we are seeing growing interest in machine learning and artificial intelligence. Herder’s system architecture will enable us to support both of these approaches, while also giving our users the ability to develop and benefit from new kinds of hybrid HPC/AI workflows.

“This platform will not only make it possible for our users to run larger, more powerful simulations that lead to exciting scientific discoveries, but also to develop more efficient computational methods that are only feasible with the capabilities that such next-generation hardware offers.”



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Faithful Companions: The Best Printers We’ve Tried

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Faithful Companions: The Best Printers We’ve Tried


Before anything else, you’ll have to decide between ink and laser. I’ll get into the details when it comes to each model, but the most important consideration is paper type, because it’s a limitation rather than a benefit. Laser printers use heat in the bonding process, which means if you regularly print on windowed envelopes or photo paper, you’ll need to either use an ink printer or change to a thermally safe alternative, which can be cost prohibitive if you print a lot.

Inkjets are the most common flavor of home printer, and they work like you might expect, by boiling ink until it splatters through a series of tiny holes. You didn’t expect that? Me neither! Pretty exciting stuff.

Inkjet printers come in two flavors, with either prefilled cartridges or built-in tanks. The latter is quickly becoming more popular thanks to better pricing, more convenience, and a massive reduction in wasted plastic. If you’re buying a new printer in 2025 you should opt for an ink tank, if not a laser printer. They’re a little more work to setup and maintain, since you have to keep the tanks topped off, and they should remain in one place on a flat surface to avoid leaks. I can’t imagine many situations where a printer would be constantly moving and tilting, but it’s a consideration.

You thought InkJets were cool? Laser printers work by blasting a tube full of dried plastic particles, then fusing them to the paper with heat. They tend to cost more upfront, but the cost per page is overall much lower. Where a $20 ink cartridge might print 200 pages, a $60 toner cartridge could print 2000. They tend to be a lot faster than inkjet printers, and you don’t have to worry about them drying out. Plus, the pages come out of the printer nice and warm, and you can’t really put a price on that.

There are also thermal printers, which are commonly used for receipts or shipping labels. Instead of filling the printer with ink and depositing it onto a surface, they apply heat in precise patterns to special paper, allowing you to print text and images in low resolution, and typically in one color. If you print shipping labels or simple stickers at home, these can save you a lot of time and ink cost, but they have more limitations.

Laser printers are my preferred type, as long as your paper type and budget can support them, but most home users will be happy with an ink tank printer.



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Gravel Running Shoes Are the Best Suitcase Shoe

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Gravel Running Shoes Are the Best Suitcase Shoe


“In general, we are noticing many of these shoes have more of a road running influence than they do trail,” says Bodin. “So, there will be a mix of foams, midsole geometries, less attention to fit, and a more subtle outsole pattern compared to trail shoes.”

What Are the Benefits of Gravel Shoes?

In a word: versatility. You can lace up a gravel shoe at home with confidence that they’ll handle whatever lies ahead, provided you’re not hitting a really technical trail or ankle-deep mud.

“Many of the shoes in this category can run well on roads, gravel paths, and light trails,” says Bodin. “That’s not something that very many strictly road shoes or dedicated trail shoes can do.”

The more rockered midsoles aim to smooth your heel-to-toe transitions, cutting the calf muscle fatigue over uneven ground and on longer runs. They’re also often lighter than technical trail shoes, thanks to the smaller lugs, less pronounced rock plates, and lower levels of upper reinforcement. That serves up more agility than heftier trail shoes, so you can move faster and lighter over runnable ground.

Do Gravel Shoes Feel Different From “Regular” Trail Shoes?

“Yes and no,” says Bodin. A lot depends on the brand. Some companies, like Craft, have many gravel-specific options. Others, like Salomon and Hoka, use their redesigned road running shoes for their gravel category.

Gravel shoes also have limits, warns Bodin. “In my experience, most gravel shoes will be limited when they reach a moderately technical trail-running scenario. Again, because the bulk of the gravel shoe experience is focused on the overall ride on smoother terrain, performance declines when there are more turns or more challenging terrain with rocks and roots.”

Do You Really Need a Gravel Shoe?

Photograph: Kieran Alger

Like everything in running shoe world, that depends. There are trail shoes out there with the chops to conquer everything from technical to more runnable terrain, like the Hoka Speedgoat 6 ($125). Some of the pricier trail shoes like the North Face Vectiv Pro 3 ($250) pair modified versions of their springy road-shoe foams with carbon plates to deliver bouncier rides that don’t feel out of place on the road. I’ve tested loads of these shoes, and some top-tier trail shoes run better on the road than cheaper road shoes.

However, if you regularly tackle firmer, less technical mixed terrain on your runs, generally in drier conditions—and rarely venture onto more technical trails—there’s a good case for investing in a gravel shoe. It’ll carry you happily from road to trail and back again, and even cover your road runs on the way to the trail.

Likewise, if you’re a newcomer to trail running, a gravel shoe could be a good halfway house as you transition from the asphalt to the single track, thanks to a ride which retains some road-shoe familiarity. They’re also an excellent suitcase shoe—if you’re traveling and you can only fit one shoe in your luggage, the versatility of a gravel shoe makes it a great choice.



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This AI Model Can Intuit How the Physical World Works

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This AI Model Can Intuit How the Physical World Works


The original version of this story appeared in Quanta Magazine.

Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If the board keeps going past the glass, as if it weren’t there, are they surprised? Many 6-month-olds are, and by a year, almost all children have an intuitive notion of an object’s permanence, learned through observation. Now some artificial intelligence models do too.

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when presented with information that goes against the knowledge it has gleaned.

The model, created by Meta and called Video Joint Embedding Predictive Architecture (V-JEPA), does not make any assumptions about the physics of the world contained in the videos. Nonetheless, it can begin to make sense of how the world works.

“Their claims are, a priori, very plausible, and the results are super interesting,” says Micha Heilbron, a cognitive scientist at the University of Amsterdam who studies how brains and artificial systems make sense of the world.

Higher Abstractions

As the engineers who build self-driving cars know, it can be hard to get an AI system to reliably make sense of what it sees. Most systems designed to “understand” videos in order to either classify their content (“a person playing tennis,” for example) or identify the contours of an object—say, a car up ahead—work in what’s called “pixel space.” The model essentially treats every pixel in a video as equal in importance.

But these pixel-space models come with limitations. Imagine trying to make sense of a suburban street. If the scene has cars, traffic lights and trees, the model might focus too much on irrelevant details such as the motion of the leaves. It might miss the color of the traffic light, or the positions of nearby cars. “When you go to images or video, you don’t want to work in [pixel] space because there are too many details you don’t want to model,” said Randall Balestriero, a computer scientist at Brown University.

Yann LeCun, a computer scientist at New York University and the director of AI research at Meta, created JEPA, a predecessor to V-JEPA that works on still images, in 2022.

Photograph: École Polytechnique Université Paris-Saclay



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