One of the constants in computing is the need for more storage. While 8TB SSDs offer both speed and capacity, they can be a little pricey, although there are deals available if you’re prepared to shop around. If you need more storage – nearly double, in fact – purchasing a 15.36TB SSD often provides better value on a per-terabyte basis.
For example, the Intel D5-P5316 2.5-inch 15.36TB SSD is available on Amazonfor $1,650. It boasts write speeds of 3200 MB/s and read rates of 7000 MB/s. If you’re after a cheaper option, the Kioxia CD6-R KCD6XLUL15T3 is priced at a more affordable $1,397.63 on ServerPartDeals. This model offers 4000 MB/s write speeds and 5500 MB/s read rates.
In contrast, Samsung‘s 8TB 870 QVO SATA III SSD usually sells for $849.99 on Amazon, although it’s currently selling for $639.95. On a per-terabyte basis, the Samsung SSD works out to $106 at its usual price, and $80 at its sale price. The double-capacity Intel and Kioxia models cost $107 and $91 per terabyte, respectively.
The catch
However, as is often the case, there’s a catch.
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The Intel and Kioxia drives, like other 15.36TB models, use the U.3 interface, which is specifically designed for enterprise environments rather than the more common M.2 format seen in consumer devices. These drives require a system with U.3 NVMe functionality, meaning they cannot be used in standard consumer desktops or laptops, making them less accessible to the average user without the proper setup.
Despite this, their impressive performance metrics and price per terabyte make them appealing options for professional and enterprise-level storage needs. If you’re looking to save even more, shopping around and exploring platforms like eBay can sometimes yield even better deals.
At the time of writing, we found the Kioxia CD6-R KCD6XLUL15T3 listed on the auction site for $1,185, which works out to a bargain $77.15 per terabyte – a price that’s hard to ignore.
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Artificial intelligence is increasingly making its presence felt in more areas of our lives, certainly since the launch of ChatGPT. Depending on your view, it’s that big bad bogeyman that’s taking jobs and causing widespread copyright infringement, or a gift with the potential to catapult humanity into a new age of enlightenment.
What many have achieved with the new tech, from Midjourney and LLMs to smart algorithms and data analysis, is beyond radical. It’s a technology that, like most of the silicon-based breakthroughs that came before it, has a lot of potency behind it. It can do a lot of good, but also, many fear, a lot of bad. And those outcomes are entirely dependent on how it’s manipulated, managed, and regulated.
It’s not surprising then, given how rapidly AI has forced its way into the zeitgeist, that tech companies and their sales teams are equally leaning into the technology, stuffing its various iterations into their latest products, all in the aim of encouraging us to buy their hardware.
Check out this new AI powered laptop, that motherboard that utilizes AI to overclock your CPU to the limit, those new webcams featuring AI deep-learning tech. You get the point. You just know that from Silicon Valley to Shanghai, share-holders and company execs are asking their marketing teams “How can we get AI into our products?” in time for the next CES or the next Computex, no matter how modest the value will actually be for us consumers.
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My biggest bugbear comes in the form of the latest generation of CPUs being launched by the likes of AMD, Intel, and Qualcomm. Now, these aren’t bad products, not by a long shot. Qualcomm is making huge leaps and bounds in the desktop and laptop chip markets, and the performance of both Intel and AMD’s latest chips is nothing if not impressive. Generation on generation, we’re seeing higher performance scores, better efficiency, broader connectivity, lower latencies, and ridiculous power savings (here’s looking at you, Snapdragon), among a whole slew of innovative design changes and choices. To most of us mere mortals, it’s magic way beyond the basic 0s and 1s.
Despite that, we still get AI slapped onto everything regardless of whether or not it’s actually adding anything useful to a product. We have new neural processing units (NPUs) added to chips, which are co-processors that are designed to accelerate low-level operations that can take advantage of AI. These are then put into low-powered laptops, allowing them to use advanced AI features such as Microsoft’s Copilot assistant to tick that AI checkbox, as if it makes a difference to a predominantly cloud-based solution.
The thing is though, CPU performance, when it comes to AI, is insignificant. Like seriously insignificant, to the point it’s not even mildly relevant. It’s like trying to launch NASA’s JWST space telescope with a bottle of Coke and some Mentos.
Emperor’s new clothes?
I’ve spent the last month testing a raft of laptops and processors, specifically in regard to how they handle artificial intelligence tasks and apps. Using UL’s Procyon benchmark suite (makers of the 3D Mark series), you can run its Computer Vision inference test, and that can spit out a nice number for you, giving you a score for each component. Intel Core i9-14900K? 50. AMD Ryzen 9 7900X? 56. 9900X? 79 (that’s a 41% performance increase, by the way, gen-on-gen, seriously huge).
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Here’s the thing though: chuck a GPU through that same test, such as Nvidia’s RTX 4080 Super, and it scores 2,123. That’s a 2,587% performance increase compared to that Ryzen 9 9900X, and that’s not even using Nvidia’s own TensorRT SDK, which scores even higher than that.
The simple fact of the matter is that AI demands parallel processing performance like nothing else, and nothing does that better than a graphics card right now. Elon Musk knows this – he’s just installed 100,000 Nvidia H100 GPUs in xAI’s latest AI training system. That’s more than $1 billion worth of graphics cards in a single supercomputer.
Obscured by clouds
To add insult to injury, the vast majority of popular AI tools today require cloud computing to fully function anyway.
LLMs (large language models) like ChatGPT and Google Gemini require so much processing power and storage space that it’s impossible to run them on a local machine. Even Adobe’s Generative Fill and AI smart filter tech in the latest versions of Photoshop require cloud computing to process images.
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It’s just not feasible or possible to really run the vast majority of these AI programs that are so popular today on your own home machine. There are exceptions, of course; certain AI image-generation tools are far easier to operate on a solo machine, but still, you’re far better off using cloud computing to process it in 99% of use cases.
The one big exception to this rule is localized upscaling and super-sampling. Things like Nvidia’s DLSS and Intel’s XeSS, and even to a lesser extent AMD’s own FSR (although this is predominantly based on deep-learning models, applied via rasterization hardware, meaning you don’t need AI componentry) are fantastic examples of a good use of localized AI. Otherwise though, you’re basically out of luck.
Yet still, here we are. Another week, another AI-powered laptop, another AI chip, much of which, in my opinion, amounts to a lot of fuss about nothing.
Halloween season is finally here, meaning there’s no better time to watch a horror movie. Be it a tale of exorcism or a psychological thriller about the dangers lurking in every corner, horror movies have a unique way of tackling our primal fears, making us more alert, and giving us a much-needed fright. The streamer has a considerable collection of horror movies covering every subgenre and theme under the sun, so there’s no better place to be this Halloween season.
Some of the best new movies to stream offer chills and thrills while delivering a high-quality experience for terror-starved audiences. Netflix stays consistent every month with new and exciting arrivals that make up for whatever movies are leaving the service. We also found some of the best movies on Netflix, to give you something to watch between scary movies. With supernatural stories, psychological thrillers, and good old-fashioned slashers, these are the best horror movies that Netflix has to offer, and we wholeheartedly recommend them.
There’s a certain level of fandom you hit when you research a band’s tour set list before they come to your city. And some of us like to relive great concerts with some quick research on setlist.fm. The next logical step, once we’re armed with this information, is to create a playlist on our preferred streaming service for quick access. Thanks to third-party options like Setify, the process is easy for Apple Music and Spotify users, but you still have to take the time to do it.
Apple Music has now given artists the ability to turn set lists into playlists thanks to info from tour info site Bandsintown. Once an artist has connected the two services, they can select the type of show in Apple Music for Artists (concert, tour or residency) and link it to upcoming dates on Bandsintown. From there, artists can set a publish date and use search to build out the playlist. These collections of songs can include original tunes the artist covers or collaborations with other acts. Apple Music allows unlimited set list playlists for past or future shows, but the service recommends that artists select a track listing that most accurately reflects the whole tour if they’re making one for an entire run of dates.
Set lists playlists aren’t entirely new on Apple Music. The service has been curating playlists for popular tours for a while now, like Zach Bryan’s 2024 Quittin’ Time Tour. What’s more, Apple Music is touting this new tool as a promotional feature for artists, so there are a number of ways to share the playlists once they’re live. However, it will also be a great item for fans who either want more info on the songs they can expect to hear, can’t make it to a stop on a tour or want to relive the experience of seeing the band in person.
Of course, if one of your favorites doesn’t hop on this bandwagon, you still have options for set list playlists. With Setify, you can link either Apple Music or Spotify and pull in data from setlist.fm in order to make your collections. It’s not perfect, but it works well most of the time, and you can always adjust things in the streaming service apps if you need to further curate a playlist. I recently missed one of my all-time favorites at Furnace Fest, but thanks to this combo, I can at least get a small piece of Blindside playing through About a Burning Fire.
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Strands is the NYT’s latest word game after the likes of Wordle, Spelling Bee and Connections – and it’s great fun. It can be difficult, though, so read on for my Strands hints.
SPOILER WARNING: Information about NYT Strands today is below, so don’t read on if you don’t want to know the answers.
Your Strands expert
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Your Strands expert
Marc McLaren
NYT Strands today (game #232) – hint #1 – today’s theme
What is the theme of today’s NYT Strands?
• Today’s NYT Strands theme is… We’re in this together
NYT Strands today (game #232) – hint #2 – clue words
Play any of these words to unlock the in-game hints system.
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TONGS
SCOUR
COLD
HIDE
POLE
POUR
NYT Strands today (game #232) – hint #3 – spangram
What is a hint for today’s spangram?
• Strength in numbers
NYT Strands today (game #232) – hint #4 – spangram position
What are two sides of the board that today’s spangram touches?
First: left, 5th row
Last: right, 5th row
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON’T WANT TO SEE THEM.
NYT Strands today (game #232) – the answers
The answers to today’s Strands, game #232, are…
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PACK
HERD
FLOCK
SWARM
SCHOOL
PRIDE
KNOT
COLONY
SPANGRAM: GROUPNAME
My rating: Easy
My score: Perfect
Sadly, today’s Strands didn’t include my favorite collective noun: a prickle of porcupines. I’m also partial to a conspiracy of lemurs. Aren’t they great! But it did include a KNOT (of snakes) among the far more prosaic likes of PACK, HERD, FLOCK and SWARM.
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This was a pretty simple Strands all told, but a fun one too. The most difficult part of it, as is often the case, was getting started, but once I was underway the answers all spilled out of my brain fairly quickly.
Yesterday’s NYT Strands answers (Sunday, 20 October, game #231)
OTTOMAN
RECLINER
TABLE
SOFA
FIREPLACE
SHELF
SPANGRAM: LIVING ROOM
What is NYT Strands?
Strands is the NYT’s new word game, following Wordle and Connections. It’s now out of beta so is a fully fledged member of the NYT’s games stable and can be played on the NYT Games site on desktop or mobile.
I’ve got a full guide to how to play NYT Strands, complete with tips for solving it, so check that out if you’re struggling to beat it each day.
NASA astronaut Matthew Dominick is preparing to fly home aboard a SpaceX Crew Dragon capsule at the end of the seven-month Crew-8 mission, but he recently found time to snap an incredible night shot featuring the Nile River, the Nile Delta, Cairo, and beyond.
“Moonlight illuminates Cairo and the Mediterranean on a mostly clear night,” Dominick wrote in a message accompanying the photo that was shared on X (formerly Twitter) on Sunday.
“We were up late last night sleep shifting in preparation for undocking and return to Earth in the next few days,” Dominick continued. “Cairo at night is one of my favorite views. I am happy the timing worked out to see it one more time before we depart.”
Moonlight illuminates Cairo and the Mediterranean on a mostly clear night.
We were up late last night sleep shifting in preparation for undocking and return to Earth in the next few days. Cairo at night is one of my favorite views. I am happy the timing worked out to see it one… pic.twitter.com/zLmVozPvfL
Captured from 250 miles above Earth, Dominick used a 50mm lens set at f1.2, 1/10 second, and ISO 3200. He doesn’t specify the camera body but going by his earlier work, it’s likely to have been a Nikon Z9.
Dominick, on his first missions to space, has been wowing fans with some incredible imagery taken during his seven months aboard the orbital outpost. But this latest shot must be one of his finest night images yet.
The American astronaut is making final preparations with three other astronauts for the return journey to Earth. The voyage has already been delayed due to poor weather conditions in the splashdown zone off the coast of Florida.
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NASA said on Sunday that there had been “a marginal improvement in forecast weather conditions in potential splashdown sites off the coast of Florida for the return of the Crew-8 mission,” adding that Crew-8 is currently targeting undocking from the ISS no earlier than 9:05 p.m. ET on Monday, October 21. It added that the earliest splashdown opportunity for the Crew Dragon spacecraft is about 12:55 p.m. ET on Tuesday, October 22.
Update 10/17/24 11:05am ET: Amazon has raised the price of the 55-inch model by $100, which brings the final price down to $1,297. While not quite as low as it was just a few hours ago, that’s still about $500 off the original price and a good deal.
I don’t know about you but I will be spending most of the upcoming cold months sitting on my couch and watching television (with some books thrown in). The only thing I’m missing is a really good television set and, while I’ll be opting for a more budget-friendly pick, I’m tempted by the sale on LG’s C3 Series OLED TV. Right now, the 55-inch model is down to $1,197 from $1,800 — a 34 percent discount. The all-time low price isn’t the only version on sale, with the 42-inch option dropping to $997 from $1,197.
LG released the C3 series last year as a mid-range OLED option. It offers an a9 AI Processor Gen6, HDR tone mapping, AI upscaling and object-based picture sharpening. The TVs also come with Brightness Booster, which — though not to the level of some of its competitors — makes it easier to watch even in a relatively sunny room.
LG
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If you want the newest model then check out LG’s C4 OLED series. The 2024 release is also on sale, with the 55-inch version down to $1,297 from $2,000 — the same 35 percent discount we recently saw on Prime Day. The C4 TVs offer nearly 1,000 nits of brightness and a maximum refresh rate of 144Hz. This model will also wirelessly connect with LG soundbars, foregoing the need for messy cables.
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