Tag: deliver

Samsung’s archrival strikes crucial partnership with Nvidia’s closest ally to deliver key next-gen memory — SK Hynix teams up with TSMC to advance HBM development but could this move encourage TSMC to become like Intel?

Post author By lisa nichols
Post date May 4, 2024
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South Korean memory giant SK Hynix, which recently announced plans for the construction of the world’s largest chip factory, has now announced a major partnership with top Taiwanese semiconductor foundry, TSMC.

The two firms aim to cement their positions in the fast-growing AI market by developing and producing the next-generation of High Bandwidth Memory, known as HBM4.

The production, scheduled for 2026, will make use of TSMC’s state-of-the-art packaging technology. The project’s initial focus will be on the improvement of the performance of the base die, the element of HBM that connects directly to the GPU. SK Hynix will reportedly adopt TSMC’s advanced logic process for HBM4’s base die, allowing for extra functionality to be packed into a minimal space. The two firms intend to optimize the integration SK Hynix’s HBM and TSMC’s CoWoS (Chip on Wafer on Substrate) technology.

A strategic move for TSMC

“We expect a strong partnership with TSMC to help accelerate our efforts for open collaboration with our customers and develop the industry’s best-performing HBM4,” said Justin Kim, President and the Head of AI Infra, at SK Hynix. “With this cooperation in place, we will strengthen our market leadership as the total AI memory provider further by beefing up competitiveness in the space of the custom memory platform.”

Dr. Kevin Zhang, Senior Vice President of TSMC’s Business Development and Overseas Operations Office, and Deputy Co-Chief Operating Officer, agreed, stating, “TSMC and SK Hynix have already established a strong partnership over the years. We’ve worked together in integrating the most advanced logic and state-of-the art HBM in providing the world’s leading AI solutions. Looking ahead to the next-generation HBM4, we’re confident that we will continue to work closely in delivering the best-integrated solutions to unlock new AI innovations for our common customers.”

This collaboration is a strategic move for TSMC as much as it is for SK Hynix – if not more so – and demonstrates the firm’s potential in a role beyond foundry service provider. It’s hard to guess at the future, but should TSMC wish to continue its growth trajectory, it may need to consider expanding its strategic horizons even further, a move which could see it competing with some of its partners such as AMD or even rivals like Intel.

Competition is fierce in the semiconductor industry and moving up the value chain – leveraging its advanced technology to drive higher margins – is a risky move, but one that could potentially be hugely rewarding for the Taiwanese chip giant.

Via Nikkei

This smart pellet grill uses generative AI to deliver the perfect BBQ – including adapting to ‘unexpected surprises’

Post author By lisa nichols
Post date April 19, 2024
No Comments on This smart pellet grill uses generative AI to deliver the perfect BBQ – including adapting to ‘unexpected surprises’

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Everyone loves BBQ season… except perhaps the poor person stuck tending the grill. A new wave of smart grills looks set to change all of that, but Brisk It’s Origin is one of the first we’ve seen to use generative AI as a cooking assistant. One whose attention won’t wane, and who won’t get tipsy and burn the sausages as the afternoon wears on.

The design offers automatic temperature adjustment, achieved via a selection of heat probes and a PID algorithm. Set a desired temperature and it’ll manage the fuel for you, to keep your food cooking at a stable temperature, with no tinkering required.

For the ultimate in hands-off hosting, the Origin comes with a range of presets – so you can press a button and leave it to do its thing, whether that’s searing steak at super-hot temperatures or going low-and-slow for pulled pork.

Brisk It Origin-580 pellet grill with ribs cooking

(Image credit: Brisk It)

This smart grill can learn your personal preferences and respond to what the brand intriguingly refers to as ‘unexpected surprises’. We’re assuming things like temperature swings, rather than, for example, the dog running into the BBQ and setting fire to the garden, but we have asked Brisk It to clarify.

If you prefer to be more involved, you can also control the Grill It Origin yourself. Similar to the likes of the Ninja Woodfire Pro Connect XL (which ushered our Lifestyle Ed into her grill master era), it comes with a companion app that provides real-time updates and notifications and can be used to control the grill without having to hop up from the table every 10 minutes. You can even ignite it remotely.

Pellets inside Brisk It Origin-580 pellet grill

(Image credit: Brisk It)

It’s entirely fueled by wood pellets, so expect that authentic smokey flavor that can be missing with gas or electric BBQs. The Origin-580 Grill is big enough to fit four chickens, five rib racks, or four pork butts and there’s an even bigger Origin-940 option if you’re feeding a bigger party (or have very hungry friends).

There’s mention of the Origin taking care of pre-cook prep, although reading between the lines, we think that just means it’ll walk you through the steps required. It’s not quite advanced enough to be getting your meat out of the fridge and whipping up a marinade. Yet.

Brisk It says there are more AI features in the pipeline, with upgrades available over the cloud. But if the current feature lineup is enough to convince you that a Brisk It should be part of your summer plans, their Origin-580 is currently $150 off at Home Depot, taking the price down to $699.

Smarter BBQing

Although it’s still pretty rare, this isn’t the only smart BBQ to dabble in AI – Seer Grills won an Innovation Award at this year’s CES for its AI-powered Perfecta grill. That one looks a little less like a grill and a little more like a futuristic multi-cooker that someone has dragged outside (and it’s electric/gas-powered, so no smokey flavor from pellets), but its functions are undoubtedly impressive.

The gadget senses the thickness of your food and promises fully automated, dual-sided cooking, in double-quick time (a burger in a minute and a half! A pizza in under three minutes!). Either way, it looks like we could be heading for a far less labor-intensive future when it comes to BBQing.

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Tags Adapting, BBQ, deliver, generative, grill, including, pellet, Perfect, Smart, surprises, unexpected

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Intel powers up XeSS upscaling to deliver faster frame rates for Arc GPUs – up to 30% quicker – and better image quality

Post author By lisa nichols
Post date April 5, 2024
No Comments on Intel powers up XeSS upscaling to deliver faster frame rates for Arc GPUs – up to 30% quicker – and better image quality

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Intel has unleashed a new version of its XeSS upscaling tech that rivals Nvidia DLSS and AMD FSR for speeding up frame rates in PC games.

Intel XeSS 1.3 is fresh on the scene, although note that it’s still in preview testing right now, with Team Blue claiming some decent performance boosts compared to XeSS 1.1 or 1.2.

On a PC with an Arc A750 GPU, Intel discovered a particularly impressive jump in frames per second (fps) with Diablo 4 at 1440p resolution (with high details and ray tracing on). Without XeSS, the action RPG ran at 37 fps, but with XeSS that increased to 71 fps – and with the new XeSS 1.3 the game hit 91 fps. That’s a performance gain of almost 30% over the previous incarnation of XeSS.

Other games have more modest, but still worthwhile, improvements, in the order of around 5 extra fps, a boost of around 10%.

Intel also demonstrated integrated graphics with the Arc GPU in an Intel Core Ultra processor, running games at 1080p with medium details. On average, Team Blue found XeSS 1.3 delivered 8% more fps compared to previous versions.

Not just faster, but better-looking upscaling too

XeSS 1.3 isn’t just about faster frame rates for your GPU, though, as Intel has been fine-tuning the image quality as well. The company tells us that version 1.3 of its upscaling tech benefits from an updated model that provides more detail in the image, better anti-aliasing (smoothing of jaggies) and less in the way of ghosting.

All in all, it seems like a sizeable stride forward for XeSS, but Intel will need to keep pushing with its upscaling technology – because AMD and Nvidia most definitely aren’t standing still.

Indeed, Nvidia just released DLSS 3.7 which offers similar improvements to what we see here from Intel (less ghosting, better temporal stability). And AMD may have even bigger moves underway – possibly finally bringing AI into the mix with FSR. (Note that both Intel and Nvidia already use hardware-accelerated AI cores to pep up their respective upscaling technologies).

Via Neowin

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Tags Arc, deliver, faster, Frame, GPUs, image, Intel, powers, Quality, quicker, rates, upscaling, XeSS

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This cute robot can deliver 16 cups of coffee right to your desk

Post author By lisa nichols
Post date April 5, 2024
No Comments on This cute robot can deliver 16 cups of coffee right to your desk

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The office coffee run could soon be a thing of the past, judging by Hyundai’s new DAL-e Delivery robot.

The cute ‘bot, which Hyundai says has been designed to navigate busy and complex settings such as offices and shopping malls, can carry up to 16 cups of coffee – and based on the video below, it’ll deliver them without spilling a drop.

The DAL-E uses four of Hyundai’s Plug & Drive (PnD) modules, which combine an electric motor, steering, braking and suspension system into one unit. It’s capable of safely travelling at speeds of around 2.6 mph – a perfectly acceptable walking pace.

But more impressive still is the suite of environmental recognition sensors that allow it to avoid obstacles and create real-time optimal route calculations. According to Hyundai, it can even use an elevator system by “seamlessly interfacing” with the door controls.

It’s capable of carrying up to 10kg of cargo, and also uses in-house-developed AI facial identification technology, via its built-in camera, to identify the recipient and deliver the goods.

Apparently, this facial recognition technology is officially certified by the Korea Internet and Security Agency thanks to its 99.9 percent accuracy, which does away with the need to punch in passwords to access the bounty that lies within DAL-e’s futuristic cuboid chest cavity.

But in order to signal its intentions and provide an operating status to us humans, Hyundai has seen fit to install a 11.6-inch high-resolution display. And yes, animated facial expressions have been added to give it a little extra cuteness.

The coffee-delivering bot will be put to good use at a soon-to-open smart office building in Seoul, which local company IGIS Asset Management will inhabit. Hyundai Motor and Kia signed a business agreement with IGIS in May last year to commercialize the robot-friendly building.

Rise of the robots

Hyundai DAL-e Robot

(Image credit: Hyundai)

Hyundai Motor and Kia’s Robotics Lab has a long history in developing and producing automated bots that can be put to work in factories and further afield.

We got a look inside Hyundai’s sci-fi smart factory in Singapore last year and walked among the numerous autonomous dogs and self-driving delivery platforms that inhabit it – the lack of human employees is almost eerie.

What’s more, much of Asia already employs similar but arguably more basic autonomous systems in cafes and restaurants, where AI-powered trolleys ferry dirty dishes to the kitchen and even deliver orders directly to tables.

But whether DAL-e will replace the work experience kid in offices around the globe is yet to be seen.

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Tags Coffee, Cups, cute, deliver, desk, robot

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Want ‘AirTags for Android’? Google’s new Find My Device network will deliver them soon

Post author By lisa nichols
Post date April 4, 2024
No Comments on Want ‘AirTags for Android’? Google’s new Find My Device network will deliver them soon

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Google‘s new Android Find My Device network has started slowly rolling out, according to some users – and that finally opens up the possibility of some Apple AirTags rivals landing on the platform for tracking your lost belongings.

As spotted by Android tipster @Assembledebug on X (formerly Twitter), Google has seemingly started rolling out its new Find My Device network on some devices in the latest Google Play Service beta (version 24.12.14, below).

So far, this rollout appears to be very limited and also isn’t a full release of the feature, which Google announced way back at Google IO 2023. While a new settings page for the Find My Device network has appeared for these early users, they don’t yet have the option of opting into the service.

Two Android phones on an orange background showing the Android Find My Device settings screen — (Image credit: @AssembleDebug)

But this is still a significant moment for anyone who’s been patiently waiting for AIrTags equivalents to arrive on Android. Like its Apple rival, Google’s new Find My Device network will anonymously leverage millions of Android devices around the world (assuming they’ve opted in) to help you track down offline devices and accessories.

Like on recent iPhones, this offline tracking works by keeping your phone’s Bluetooth beacon signal active even when the handset is shut down. But the offline tracking feature may not work on every Android device – earlier rumors have suggested that the full Find My Device network will start by rolling out on the Google Pixel 9 (and possibly the Pixel 8) with Android 15.

The reason for the delayed rollout is apparently because Google has been waiting for Apple to finalize its specifications for cross-platform tracking. According to a new iOS 17.5 beta that adds unknown tracker alerts to Apple’s own Find My network, that seems to have happened. This follows a joint announcement from Google and Apple back in May 2023 that stated they would team up to tackle the issue of AirTag stalking.

So, what happens next? This slow rollout will likely continue until Google IO 2024 on May 14, when we can expect to hear more about Android’s promising tracking network – and hopefully, some new third-party trackers from Tile and Chipolo.

How will it work?

Two Android phones on an orange background showing the Android Find My Device network

(Image credit: Google)

Your Android phone already has a limited Find My Device service, which lets you find your phone if it’s nearby and connected to the internet. Google’s new network promises to be a massive upgrade by anonymously leveraging millions of Android phones to help track down your lost devices – much like Apple’s Find My network.

Apple calls this its “crowdsourced network of hundreds of millions of Apple devices”, but Android’s network could potentially be even bigger. It’ll also benefit from the cross-platform alerts that Google and Apple announced to “combat the misuse of Bluetooth location-tracking devices”.

The question is when we’ll see Google AirTags, or at least Google’s first-party equivalent of the trackers that can be attached to your belongings. Given this apparent rollout of the Find My Device network, our money is on some news at Google IO 2024, as we’ve previously heard rumors about a Google tracking device codenamed ‘Grogu’.

Given that makers of third-party brands like Tile, Chipolo and Pebblebee are all supporting the industry standard partnership between Apple and Google on Bluetooth trackers, we may see some Android-flavored versions of their tracking devices at the same time, too.

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Tags AirTags, Android, deliver, Device, Find, Googles, Network

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This startup wants to take on Nvidia with a server-on-a-chip to eliminate what it calls an already flawed system — faster GPU, CPU, LPU, TPU or NIC will not deliver the leap that many firms are aiming for

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According to Israeli startup NeuReality, many AI possibilities aren’t fully realized due to the cost and complexity of building and scaling AI systems.

Current solutions are not optimized for inference and rely on general-purpose CPUs, which were not designed for AI. Moreover, CPU-centric architectures necessitate multiple hardware components, resulting in underutilized Deep Learning Accelerators (DLAs) due to CPU bottlenecks.

NeuReality’s answer to this problem is the NR1AI Inference Solution, a combination of purpose-built software and a unique network addressable inference server-on-a-chip. NeuReality says this will deliver improved performance and scalability at a lower cost alongside reduced power consumption.

An express lane for large AI pipelines

“Our disruptive AI Inference technology is unbound by conventional CPUs, GPUs, and NICs,” said NeuReality’s CEO Moshe Tanach. “We didn’t try to just improve an already flawed system. Instead, we unpacked and redefined the ideal AI Inference system from top to bottom and end to end, to deliver breakthrough performance, cost savings, and energy efficiency.”

The key to NeuReality’s solution is a Network Addressable Processing Unit (NAPU), a new architecture design that leverages the power of DLAs. The NeuReality NR1, a network addressable inference Server-on-a-Chip, has an embedded Neural Network Engine and a NAPU.

This new architecture enables inference through hardware with AI-over-Fabric, an AI hypervisor, and AI-pipeline offload.

The company has two products that utilize its Server-on-a-Chip: the NR1-M AI Inference Module and the NR1-S AI Inference Appliance. The former is a Full-Height, Double-wide PCIe card that contains one NR1 NAPU system-on-a-chip and a network-addressable Inference Server that can connect to an external DLA. The latter is an AI-centric inference server containing NR1-M modules with the NR1 NAPU. NeuReality claims the server “lowers cost and power performance by up to 50X but doesn’t require IT to implement for end users.”

“Investing in more and more DLAs, GPUs, LPUs, TPUs… won’t address your core issue of system inefficiency,” said Tanach. “It’s akin to installing a faster engine in your car to navigate through traffic congestion and dead ends – it simply won’t get you to your destination any faster. NeuReality, on the other hand, provides an express lane for large AI pipelines, seamlessly routing tasks to purpose-built AI devices and swiftly delivering responses to your customers, while conserving both resources and capital.”

NeuReality recently secured $20 million in funding from the European Innovation Council (EIC) Fund, Varana Capital, Cleveland Avenue, XT Hi-Tech and OurCrowd.

This is what Nvidia’s Exaflop supercomputer-in-a-rack looks like — the DGX GB200 NVL72 tower most likely uses 48V, 2.5kA to deliver a staggering 1,440 petaflops, could cost millions

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Nvidia recently unveiled its DGX GB200 NVL72 supercomputer-in-a-rack at Nvidia GTC 2024 and Patrick Kennedy at Serve The Home took a selection of great photos showcasing the impressive beast.

The name of the DGX GB200 NVL72 tells you much of what you need to know. The GB200 signifies the Grace Blackwell GB200 compute structure, while the NVL72 denotes there are 72 Blackwell GPUs connected by NVLink.

The Blackwell platform contains 208 billion transistors across its two GPU dies. These are connected by 10 TB/second chip-to-chip link into a single, unified GPU. Blackwell, set to ship later this year, will reportedly offer up to 20 petaflops of FP4 power and be up to 30x faster than Hopper for AI inference tasks.

TechRadar Pro also snapped our own picture of the DGX GB200 at Nvidia GTC 2024 (Image credit: Future / Mike Moore)

120kW power load

The rack scale system comprises ten compute nodes in the top stack, each featuring dual Infiniband ports, four E1.S drive trays, and management ports. Each node is powered by two Grace Arm CPUs connected to two Blackwell GPUs. Below these nodes are nine NVSwitch shelves, with gold handles for easy removal.

The rear of the rack reveals the power delivery system designed for blind-mate power via the bus bar, liquid cooling nozzles, and NVLink connections for each component. This setup allows for slight movement to ensure proper blind mating.

DGX GB200 NVL72 weighs 1.36 metric tons (3,000 lbs) and consumes a 120kW, a power load that Serve The Home points out, not all data centers will be able to handle. As many can only support a maximum of 60kW racks, a future half-stack system seems a possibility. The rack uses 2 miles (3.2 km) of copper cabling instead of optics to lower the system’s power draw by 20kW.

You can view the rest of the photos taken by Kennedy at GTC 2024 here.

This popular gaming PC vendor believes it can make AI training much more affordable for small businesses — Maingear partners with Phison to deliver a quad-GPU system using Nvidia’s RTX 6000 Ada

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The surge in demand for large-scale generative AI models has led to a significant increase in hardware requirements, making model training costly and inaccessible for many SMBs and educational establishments.

High-performance custom PC builder Maingear has partnered with storage giant Phison on a new range of Maingear Pro AI workstations that boast powerful Intel Xeon W7-3455 CPUs.

The new workstations can be configured with up to 1TB of DDR5 memory, and up to 4x RTX 5000 Ada or 4x RTX 6000 Ada GPUs. These GPUs are supported by Phison aiDAPTIV+ caching SSDs and software, to significantly lower the cost of LLM development and training.

Off-the-shelf components

Maingear Pro AI workstations fit in a standard desktop tower PC design so they can easily be stored under a desk, or placed anywhere in an office (a 4U rackmount chassis is also available). Maingear says these workstations have been designed with off-the-shelf components for easy upgrades and Noctua cooling components to manage heat and reduce noise when under load.

Maingear founder and CEO, Wallace Santos, stated, “Our dedication to crafting highly capable yet budget-friendly solutions guarantees SMBs, universities, and research facilities a competitive advantage in an industry formerly restricted by multimillion-dollar investments.”

There are three preconfigured systems available to order now:

PRO AI: SHODAN 64 (MSRP: $28,000)

Chassis: Fractal Design Define 7 XL
GPU: 2x NVIDIA RTX 5000 Ada
CPU: Intel Xeon W7-3455
Cooling: Noctua NH-U12S DX-4677, Noctua Fan Kit
Motherboard: Supermicro X13SWA-TF
Memory: 512GB Kingston Server Premier RAM (8×64)
OS: Linux – Ubuntu
OS Drive: 2TB Gen4 M.2 NVMe SSD
AI Kit: Phison AiDAPTIV+ Layer
Additional Storage: 16TB Seagate Barracuda HDD
Power: 1600W XPG Fusion 80+ Platinum
Warranty: 2-year MAINGEAR PRO Solutions WarrantyEmpty list

PRO AI: SHODAN 96 (MSRP: $37,000)

Chassis: Fractal Design Define 7 XL
GPU: 2x NVIDIA RTX 6000 Ada
CPU: Intel Xeon W7-3455
Cooling: Noctua NH-U12S DX-4677, Noctua Fan Kit
Motherboard: Supermicro X13SWA-TF
Memory: 512GB Kingston Server Premier RAM (8×64)
OS: Linux – Ubuntu
OS Drive: 2TB Gen4 M.2 NVMe SSD
AI Kit: Phison AiDAPTIV+
Additional Storage: 16TB Seagate IronWolf HDD
Power: 1600W XPG Fusion 80+ Platinum
Warranty: 2-year MAINGEAR PRO Solutions Warranty

PRO AI: SHODAN 192 (MSRP: $60,000)

Chassis: Fractal Design Define 7 XL
GPU: 4x NVIDIA RTX 6000 Ada
CPU: Intel Xeon W7-3455
Cooling: Noctua NH-U12S DX-4677, Noctua Fan Kit
Motherboard: Supermicro X13SWA-TF
Memory: 512GB Kingston Server Premier RAM (8×64)
OS: Linux – Ubuntu
OS Drive: 2TB Gen4 M.2 NVMe SSD
AI Kit: Phison AiDAPTIV+
Additional Storage: 16TB Seagate IronWolf HDD
Power: 1600W XPG Fusion 80+ Platinum
Warranty: 2-year MAINGEAR PRO Solutions Warranty

Samsung’s new mid-rangers deliver security tech never seen on the A-series smartphone

Post author By lisa nichols
Post date March 12, 2024
No Comments on Samsung’s new mid-rangers deliver security tech never seen on the A-series smartphone

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Samsung is expanding its mid-range smartphones by adding two new, more secure models to its A-series: the Galaxy A35 5G and the A55 5G.

The pair’s robust security comes in multiple forms. Chief among them is the introduction of the tech giant’s Knox Vault software. What this does, according to the announcement, is it physically isolates sensitive data like passwords or encryption keys away from the smartphone’s “main processor and memory.” That way, if the device is somehow compromised, your information is safe. Knox Vault’s inclusion is notable because it marks the first time it’s being seen on a mid-ranger. Until recently, the software has been exclusive to high-end models like the Galaxy S24.

Next, we have Auto Blocker which primarily does two things. One: stop “app installation from unauthorized sources”, and two: scan apps for any potential malware lurking around. The software can even block “malicious commands” sent via USB cable.

Private Sharing is here, too, offering encrypted protection whenever private files are shared. It can limit the number of allowed downloads too. Finally, the Security and Privacy Dashboard gives owners an easy way to control their phone’s onboard data. You can, for example, remove file permissions at any time.

Camera upgrade

Besides the security, Samsung also upgraded the cameras on these A-series models. Both house OIS (optical image stabilization) and VDIS (video digital image stabilization) to ensure that shot content is crystal clear. The Galaxy A55, however, has better photography skills. Not only does it house a 12MP ultra-wide lens, the model also has Nightography which gives it the ability to take high-quality images in low-light environments. This feature is backed up by AI Image Signal Processing to further enhance those low-light pictures.

Apart from the few differences, they have a similar rear camera array. You have a 50MP main lens alongside a 5MP macro option for close-ups. On the front is a 32MP selfie camera.

Galaxy A55 in blue

(Image credit: Samsung)

Specs

As for specs, the pair are nearly identical to one another. They have a 6.6-inch AMOLED screen capable of outputting Full HD Plus resolution (2,220 x 1,080 pixels) images with a maximum refresh rate of 120Hz. Memory and storage space peak at 12GB and 256GB, respectively. The two are even powered by a 5,000mAh battery.

If you look closely at the specs sheet, you’ll notice the Galaxy A55 is a bit heavier at 213 grams. Android Police, in their coverage, claims the smartphone sports a metal frame instead of the plastic frame seen on Samsung’s other mid-range devices. That could explain why the A55 is heavier than the A35 although nothing is confirmed.

No word on when the pair will launch in the US. TheVerge states the new A-series phones will arrive in Europe on March 20th. Prices for the A35 reportedly start at €379 while the A55 will start at €479. We reached out to Samsung to double-check if this is true or not. They didn’t tell us much, however, a company representative did give us some interesting tidbits

They told us the Galaxy A35 will launch in the United States but not the Galaxy A55. There are no plans for now to launch the latter in the US. We prodded the rep for more details. This story will be updated at a later time.

Until then, check out TechRadar’s roundup of the best cheap phones for 2024.