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AWS and Microsoft could face ‘targeted intervention’ from CMA over UK cloud competition concerns

The competition watchdog has published the provisioning findings from its long-running investigation into the inner workings of the UK cloud infrastructure services market, which shows that competition in the sector is not working as well as it could be. For this reason, Kip Meek, chair of the CMA’s independent inquiry group, said it is advising the regulator to “consider investigating the largest cloud service providers using its new digital markets powers”.

This is because its findings suggest end-user organisations could be paying more than they need for cloud services, and are possibly at risk of being locked into using platforms that do not meet their “evolving” needs.

In a seven-page report, detailing the provisional findings of its investigation, the CMA said the lack of competition in the cloud market could mean UK customers are collectively paying hundreds of millions more per year than they need to for services.

It went on to state that UK cloud users can be locked into their “initial choice of provider” due to technical and commercial barriers that prevent customers from seeking out the services of other cloud suppliers who might have better-priced or a more innovative portfolio of services.

“We have provisionally found that AWS and Microsoft have been generating sustained returns from their cloud services substantially above their cost of capital in cloud services for a number of years,” the report said. “Customers say that cloud services offer both quality and innovation to them. However, we consider that a more competitive market would have sustained better market outcomes, including more consistently competitive prices, as well as further improvements in quality and innovation.”

Controversial licensing practices

The report also called out Microsoft’s controversial licensing practices, which typically see it charging customers more for running its software in its competitors’ cloud, as impacting on the competitive position of AWS and also Google by “partially foreclosing” them from the market.

As well as being in-scope of the CMA probe, Microsoft’s behaviour on this front is also the subject of a European Commission complaint, filed by Google in September 2024.

“[The licensing piece] exacerbates the harm we have provisionally found arising from high market concentration and barriers to entry and expansion in relation to Microsoft’s significant unilateral market power,” the report added.

To remedy the situation, the report suggests the CMA board should use powers conferred on it through the roll-out of the Digital Markets, Competition and Consumers Act 2024 (DMCCA) on 1 January 2025 to mark AWS and Microsoft out as suppliers with “strategic market status”.

This would mean the CMA could impose legally binding conduct requirements or pro-competition interventions on both firms to limit and remedy the toll their activities have allegedly had on the market.

As detailed in the report, such powers are “specifically designed to be effected in digital markets … that share a combination of characteristics that can cause them to ‘tip’ in favour of one or a few firms” by allowing the CMA to take a “targeted and iterative” approach to tackling the behaviour of such providers.

“We consider that measures aimed at AWS and Microsoft would address market-wide concerns by directly benefiting the majority of UK customers and producing wider, indirect effects by altering the competitive conditions or other providers,” the report stated.

Before any action can be taken by the CMA, a consultation on the provisional findings of its investigation needs to take place, with cloud market stakeholders now invited to share their feedback on the conclusions raised so far. The final report from the CMA’s investigation is due to drop by 4 August 2025.

In the meantime, AWS has responded to the CMA’s provisional findings by describing its proposed intervention under the terms of the DMCCA as “not warranted”, and urged it to think about the long-term impact of such a move.

“We urge the CMA to carefully consider how regulatory intervention in other areas will stifle innovation and ultimately harm customers in the UK,” a spokesperson for AWS said. “We will continue to work constructively with the CMA as they work on their final report.”

Rima Alaily, corporate vice-president and deputy general counsel in the competition law group at Microsoft, seemed to suggest in a statement to Computer Weekly that the contents of the CMA report are mistargeted. 

“The draft report should be focused on paving the way for the UK’s AI-powered future, not fixating on legacy products launched in the last century,” she said. “The cloud computing market has never been so dynamic and competitive, attracting billions in investments, new entrants and rapid innovation. What could be better for UK businesses and government?”

Meanwhile, Chris Lindsay, vice-president of customer engineering for Europe, the Middle East and Africa at Google Cloud, said the company was pleased to see the impact that restrictive licensing practices have on cloud customers feature in the CMA’s provisional findings.  

“Restrictive licensing harms UK cloud customers, threatens economic growth and stifles innovation, and we are encouraged that the CMA has recognised the harm of these practices,” he said.

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Microsoft just added DeepSeek R1 to Azure AI Foundry and GitHub

When it comes to artificial intelligence, Microsoft refuses to be left behind. On Wednesday, the Redmond company announced that the R1 model from DeepSeek is now available on Azure AI Foundry and GitHub. This surprisingly sudden move comes despite the fact that OpenAI claims DeepSeek built AI models using its data without permission.

“As part of Azure AI Foundry, DeepSeek R1 is accessible on a trusted, scalable, and enterprise-ready platform, enabling businesses to seamlessly integrate advanced AI while meeting SLAs, security, and responsible AI commitments—all backed by Microsoft’s reliability and innovation,” Microsoft CVP Asha Sharma said in a blog post.

Sharma also repeated DeepSeek’s pitch for R1, explaining that its power and low cost will give more users access to state-of-the-art AI without heavy investment.

Of course, Microsoft understands the concerns raised about DeepSeek during its rapid rise to prominence in recent weeks, including the sheer amount of data the Chinese company collects. According to Microsoft, the model “has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks.” Plus, Azure AI has tools like content filtering and the ability to test applications before deployment to protect developers and end users.

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If you want to test out DeepSeek R1 through Azure AI Foundry, you will need an Azure account. Once you’re signed in, search for “DeepSeek R1” in the model catalog. After opening the model card, click “Deploy” to obtain the inference API, the key, and access to the playground. You can try out your prompts in the playground to try out R1.

You can also “explore additional resources and step-by-step guides to integrate DeepSeek R1 seamlessly into your applications” on GitHub. Microsoft says Copilot+ PC owners will soon be able to run distilled versions of DeepSeek R1 locally as well.

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The end of the Nvidia RTX 4000 series is nigh – with the RTX 4070 expected to sell out in weeks

  • Nvidia’s RTX 4070 is expected to sell out by the end of this month
  • RTX 4060 Ti and 4060 models will still be available via third-party manufacturers in February
  • Suggestions appear to be plausible as RTX 5070 will launch in February

With the reveal of Nvidia’s RTX 5000 series GPUs at CES 2025, plenty of attention has been drawn toward Team Green’s affordable RTX 5070, which Nvidia claims can match the much more expensive (at launch) RTX 4090 (when using DLSS 4 with Frame Generation enabled) – and it looks like its predecessor, the RTX 4070, could disappear from the GPU market soon.

As reported by VideoCardz, multiple posts on the Board Channels forum (used by people to talk about updates on the supply and demand of PC hardware) suggest that the RTX 4070 will be completely sold out by the end of January. The same is expected for the RTX 4060 Ti and 4060, with only AIC brands (third-party GPU manufacturers) having stock remaining for those GPUs in February.

This comes after months of speculation before the RTX 5000 series was revealed, which pointed towards Nvidia shifting away from production of the entire RTX 4000 series. Since the RTX 5080 and 5090 will launch on January 30, along with the RTX 5070 launch in February, it lines up well with these rumors – we saw a similar pattern occur at least a year before the RTX 4000 series launch, with the RTX 3000 series shortages.

The Nvidia RTX 5080 GPU on a green background.

(Image credit: Nvidia)

Does this mean you should upgrade to an RTX 5000 series GPU?

If these rumors are legitimate, now might be one of the final chances to grab an RTX 4070 while you still can. But if you’re still using an RTX 2000 or 3000 series GPU, the jump to an RTX 5070 is one I can recommend as you’ll have access to Multi Frame Generation which promises to improve upon Nvidia’s previous version of Frame Generation, with up to three more AI generated frames, which can dramatically boost frame rates.

We’re still waiting to see how the new GPUs will perform, but with the advantage of the new Multi Frame Generation feature, I’m expecting performance to certainly be impressive (though with the potential of more input latency despite Nvidia’s Reflex 2).

As I’ve mentioned previously, RTX 2000 and 3000 series GPU owners haven’t had access to the full package of DLSS 3’s offerings (notably Frame Generation which is exclusive to RTX 4000 series) with access to DLSS 3’s super-resolution and the addition of DLSS 3.5 specifically aimed at providing better image quality for ray tracing in select titles (available to all RTX GPUs) like Cyberpunk 2077 using improved denoisers. This reduces ghosting while it also improves dynamic lighting in sequences where ray tracing reflections are enabled, thanks to ray reconstruction.

In a pleasantly surprising move, Nvidia has made DLSS 4 available for all RTX GPUs, rather than making it exclusive to the RTX 5000 series. However, RTX 2000 and 3000 series GPUs will continue to miss out on Frame Generation, while the RTX 4000 series will continue to only generate one AI frame.

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DLSS and Frame Generation are two tools that are becoming increasingly important for getting graphically-intensive games running at high frame rates, and it has allowed less powerful GPUs to offer the kind of performance we’d once expect from flagship cards. This means the RTX 5070 has the potential of being the best value RTX 5000 series GPU by offering great performance, especially with DLSS 4, for a much more affordable price starting at $579 / £579 / AU$1,109.

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Nvidia RTX 5080 GPU could sell out fast – and I’m worried things might be even worse for the flagship RTX 5090

  • Nvidia’s initial Blackwell GPUs are rumored to have ‘extremely limited’ stock
  • It’s claimed that the RTX 5090 will be particularly thin on the ground
  • This is the case for the German market, but it could well reflect the wider picture

We’ve heard our first rumblings that Nvidia’s initial next-gen GPUs, the RTX 5080 and 5090, due at the end of January, will be thin on the ground for stock levels.

VideoCardz flagged up a post from a moderator (Pokerclock) claiming this, on the forums for German site PC Games Hardware. And yes, if your rumor-sense is tingling at this point, you’re quite correct – this needs to be regarded with a robust amount of skepticism.

So, armed with that caution – and also the knowledge that this is all translated from German, so some accuracy may be lost in that process – the broad assertion is that stock levels for these first Blackwell GPUs will be ‘extremely limited’ and this will be particularly the case for the RTX 5090.

That’s according to ‘well-informed’ insiders in the trade, but the good news, at least as far as PC gamers go, is that B2B and wholesalers – those selling to businesses – aren’t getting much Blackwell stock at all (if any, if this rumor is right).

The majority of GeForce graphics cards going to gamers, then, is a positive element here, albeit this is just how it should be. These are gaming GPUs after all, they are not supposed to be drafted into AI work and the like (but they invariably are).

Pokerclock predicts that you’ll need a lot of luck to get your RTX 5090 or RTX 5080 on launch day, and that there’ll likely be queue systems at retailers for those purchasing, meaning the usual GPU scramble amidst scalpers and bots. Sigh…

The Nvidia RTX 5080 GPU on a green background.

(Image credit: Nvidia)

Analysis: Say it ain’t so… your stock is a heartbreaker

Bear in mind this is a forecast for the German market, where the big retailers like Mindfactory are expected to secure the lion’s share of RTX 5090 and 5080 stock. Even if Pokerclock is correct in their claims, this may not apply to other regions.

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However, Germany is a large European market, and if there’s creakiness here regarding supply, it’s not an unreasonable expectation that there will be elsewhere. Okay, perhaps the US might fare better in this potential future of scarce Blackwell stock, but American gamers are going to have their own troubles – in terms of the rush to buy before Trump’s tariffs kick in and spike pricing upwards. (Not just for the best graphics cards, either, which Nvidia, and indeed AMD, are surely going to have new candidates for).

There’s already an expectation that next-gen GPUs could be thin on the ground, and difficult to buy, in the early days of Blackwell (and maybe AMD RDNA 4 too, who knows). This isn’t exactly uncommon when it comes to new hardware launches, and PC enthusiasts are always prepared for a potentially frustrating hunt for available stock, and instances of just missing out, then seeing the inevitable appearance of new GPUs on auction sites laden with infuriatingly eye-watering price tags.

If you can be patient, these wrinkles will all come out in the wash eventually, but as noted, those in the US face a very different kind of pressure this time around to buy quick before the hefty price inflation that’s on the horizon for electronic goods kicks in.

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AMD Radeon RX 9070 XT: news, rumors, and everything we know

CES 2025 has come and gone with no official confirmation of the possible AMD Radeon RX 9070 XT flagship graphics card, though there is somewhat of a confirmation of RDNA 4 graphics cards.

Though AMD didn’t have time to properly elaborate on RDNA 4 during its 45-minute CES 2025 keynote, according to Frank Azor (AMD’s head of consumer and gaming marketing), we know now that the tech is coming.

This especially applies to the RX 9070 XT, which most likely will compete with Nvidia‘s RTX 5070. It’ll be exciting to see what this card has to offer in terms of performance and official pricing. But for now, we’ll keep an ear to the ground for the latest news and rumors, and bring them all in one place to keep you up to date on the latest developments.

AMD Radeon RX 9070 XT: Cut to the chase

Frank Azor of AMD being interviewed at CES 2025

(Image credit: YouTube / Michael Quesada)

  • What is it? The possible AMD Radeon RX 9070 XT GPU
  • How much does it cost? Unknown at this time, as it hasn’t been officially announced
  • When can I get it? This has also yet to be officially announced, though there are rumors of a late January pre-order date for RDNA 4 cards.

AMD Radeon RX 9070 XT: Latest news

Click to read more of the latest news…

AMD Radeon RX 9070 XT: Release date rumors

AMD Datacenter

(Image credit: AMD)

While there’s no concrete news concerning a release date for the AMD Radeon RX 9070 XT, there are rumors of a general RDNA 4 pre-order date set for January 23.

The dates allegedly came from B&H Photo putting up early listings for some Asus RX 9070 and RX 9070 XT graphics cards (TUF and Prime models). Luckily the listings were screenshotted by longtime hardware leaker @momomo_us before they were removed.

AMD Radeon RX 9070 XT: Specs

AMD CEO Lisa Su

(Image credit: AMD)

There haven’t been any clear cut leaks, rumors, or reports about the AMD Radeon RX 9070 XT’s performance, or the performance of RDNA 4 in general. We can surmise, however, that the card won’t be a 4K powerhouse thanks to its price point range.

The previous hope was that the flagship RDNA 4 GPU would be slightly faster than the 7900 XT. However, it seems to be slightly slower according to All The Watts (though take that with a grain of salt).

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While it sounds rather risky in the face of Nvidia’s own high-end 5000-series cards, not targeting that market makes sense from a business standpoint as the vast majority of gamers are playing on 1080p resolution, with some gaming on 1440p. Instead, AMD could be reaching for an overall much larger target audience by scaling back on the performance and therefore the price.

AMD Radeon RX 9070 XT: What to expect

Right now there isn’t much concrete news on the AMD Radeon RX 9070 XT graphics card and on the RDNA 4 at large, due to AMD not having the time to elaborate on it during its CES 2025 conference.

While there are plenty of rumors and a few scant official details including a possible preorder date – the latter thanks to an interview and retailer leaks – we don’t have a clear picture as to what this card will be like right now in terms of exact pricing, specs, and performance.

Hopefully AMD will give us the low down on the RX 9070 XT and any other RDNA 4-powered graphics cards in the future.

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Fresh Nvidia RTX 5090 and 5080 stock rumors again suggest that next-gen GPUs will not be easy to buy

  • Nvidia’s Blackwell stock levels are again rumored to be shaky
  • Launch stock of the RTX 5090 might be very thin on the ground
  • The RTX 5080 should be better, but still might be tricky to find in the early days

Nvidia’s RTX 5000 graphics cards could be in short supply when these next-gen GPUs first arrive, if a fresh rumor is right – and this isn’t the first time we’ve heard chatter from the grapevine along these lines.

This time it comes from a regular source of rumors on YouTube, Moore’s Law is Dead (MLID), who discussed the subject of Blackwell stock in his latest video.

The top-level summary is that the RTX 5090 is looking very shaky indeed for its amount of launch stock, and the news doesn’t sound all that much better for the RTX 5080.

MLID’s first source – season all of this appropriately – works at a US distributor and said that their organization will only have around 20 boards for the RTX 5080, and nothing at all for the flagship. Yes, zero stock for the RTX 5090, which sounds worrying indeed.

The theoretical allocation of 20 or so for the RTX 5080 graphics cards is for the first month of sales (meaning February), and to compare with the last generation, this distributor had a couple of hundred RTX 4080s back at launch in 2022. So we could potentially be looking at a tenth of that stock for the RTX 5080.

The second source is a graphics card maker (presumably in the US) who said that their firm has the same amount of RTX 5090 boards as with RTX 3090 – and if you recall, RTX 3090 stock was vanishingly thin on the ground. As for the RTX 5080, apparently supply is a ‘fraction’ of that seen with the RTX 4080, although this source doesn’t estimate it’ll be quite as bad as a tenth – more like a third to half of that seen with the RTX 4080.

Another source, also a graphics card maker (in the EU), said that the RTX 5090 is looking like it’ll be ‘very rare’ but that the RTX 5080 seemingly has ‘okay’ stock levels, for the graphics card’s initial launch anyway.

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Remember that these are all rumors around third-party Blackwell graphics cards, so they don’t apply to Nvidia’s own Founders Edition RTX 5090 and 5080 cards.

MLID did hear from a contact at Nvidia, although that person made it clear that they weren’t involved in any discussions related to supply – but did observe that Team Green has warned staff that there won’t be many RTX 5090 Founders Editions available from the employee store at launch. They noted that with the RTX 4090, it was very easy to get one of those (heavily discounted) GPUs from that in-house store.

Nvidia RTX 5090 & 5080 Supply Leak | RX 9070 XT Benchmarks | AMD FSR 4 Support for RDNA 3 – YouTube Nvidia RTX 5090 & 5080 Supply Leak | RX 9070 XT Benchmarks | AMD FSR 4 Support for RDNA 3 - YouTube Watch On

Analysis: Caveats and more optimistic glimmers

Obviously, all this comes with weighty caveats. It’s still only a few sources, even if multiple insiders have chimed in here – and it’s only the one US distributor (others could be faring better, perhaps, especially for the RTX 5080).

Indeed, there’s some mixed chatter here for the RTX 5080, and some indications of stronger stock levels, like that mention of inventory being a third to a half of that seen with the RTX 4080. That doesn’t sound as gloomy as some of the other estimations here, but as MLID points out, RTX 4080 supply wasn’t great, though, and part of the reason it hung around was because this GPU wasn’t very popular. The RTX 5080 could prove a great deal more in demand, and so could still sell out in a relative flash.

We don’t know how much trust to put in this speculation, of course, and the Founders Edition could be different too – there’s no solid evidence on those models. But it certainly makes sense that Nvidia wouldn’t particularly want to prioritize RTX 5090 stock in particular – for its own boards, or third-party graphics cards. Firstly, because AMD RDNA 4 isn’t even remotely competing with Nvidia’s new flagship, and secondly, because Team Green will doubtless want to use the top Blackwell chips for AI rather than the 5090, as that’s where all the big profits lie.

All this doesn’t fill me with confidence about the general picture of RTX 5000 stock, it must be said, particularly as a report from last week chimes pretty much with the assertions here, hinting that it could be a battle to get one of Nvidia’s next-gen GPUs at launch.

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If you still own an RTX 3000 series GPU, you might be in luck

  • Nvidia’s Bryan Catanzaro suggests older RTX 3000 GPUs could potentially get Frame Generation
  • The new Frame Generation model doesn’t need an Optical Flow accelerator
  • Tensor Cores could be the deciding factor for the RTX 3000 series receiving Frame Generation

With Nvidia’s RTX 5000 series launch on the horizon, it’s easy to be tempted into buying the latest and (hopefully) the greatest, but Frame Generation could change that – it’s not just being improved on RTX 4000 series GPUs and Team Green’s latest Blackwell GPUs like the RTX 5090 (Multi Frame Generation), but potentially RTX 3000 GPUs as well.

Hints that older Nvidia GPUs might finally get Frame Generation, a clever feature that uses AI to generate additional frames to boost overall frame rates, comes from Digital Foundry’s interview (which you can view below) with Nvidia’s Applied Deep Learning Research VP, Bryan Catanzaro – as reported by Wccftech, Catanzaro mentioned Nvidia will be looking at ways to get the best out of older hardware. We know that the current model of Frame Generation will receive improvements later this month once the RTX 5080 and 5090 launch, which will utilize less VRAM while providing better performance thanks to Tensor Cores.

Catanzaro made it clear that DLSS 3 Frame Generation was built upon Nvidia’s Optical Flow hardware accelerator (motion detector for objects between frames), with the RTX 4000 series GPUs maintaining a much more improved version compared to RTX 3000 GPUs – the new model of Frame Generation (and Multi Frame Generation exclusive to RTX 5000 series GPUs) won’t require the Optical Flow accelerator, but rather an AI-based solution.

Since the new model will rely on a higher standard of Tensor Cores (which increases AI performance) which both RTX 4000 and RTX 5000 GPUs come with, it isn’t that simple for Team Green to bring Frame Generation to the older GPUs. With Frame Generation supposedly using much less VRAM usage and not needing an Optical Flow accelerator, however, RTX 3000 users could be in luck (despite the weaker Tensor Cores).

Inside DLSS 4 & Nvidia Machine Learning: The Bryan Catanzaro Interview – YouTube Inside DLSS 4 & Nvidia Machine Learning: The Bryan Catanzaro Interview - YouTube Watch On

Again, I must ask, is there a need to buy an RTX 5000 series GPU?

While this is essentially just speculation about future possibilities, there’s a chance that Nvidia RTX 3000 series users could get the full package of DLSS 4 that includes Frame Generation. DLSS 3 has been available to both RTX 3000 and 2000 series users with super-resolution, DLAA, and ray reconstruction at their disposal – but Frame Generation has so far been exclusive to the RTX 4000 series.

With the requirement of an Optical Flow accelerator now gone, the chances of Frame Generation making its way to RTX 3000 GPUs are now much higher. The main hurdle that could stop this is the weaker Tensor Cores as I mentioned, but the fact that we’re at least getting discussions about it with Catanzaro shouldn’t be taken lightly.

For now, it’s best to look forward to what improvements DLSS 4 will bring to older GPUs and stay patient for any future updates. If Frame Generation for RTX 3000 GPUs does happen, it could breathe new life into the older graphics cards, and could mean gamers that can’t afford a new RTX 5000 series GPU will continue to be able to play new PC games for a few more years.

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Where IT comes from: Behind the scenes at Pure Storage’s European R&D centre

You’re a $2.8bn storage supplier with flash arrays at the core of your business. How do you do research and development (R&D), test new products, test customer workload issues, and test array products over years-long timescales for issues that only arise as software, network and application changes concatenate and interact?

Meanwhile, you are a global business with R&D and developer teams across time zones, all at work on ongoing monthly and quarterly updates, and incessant efforts to optimise storage controller software.

The base product is essentially the same, so effective collaboration and information sharing between teams spread across continents is key. But at the same time, you must also test regional customer-specific array configurations.

The Pure Storage solution is to divide responsibility between hardware and software, while also sharing specific R&D and testing capability between three sites.

There is Santa Clara in California, which is its global headquarters and handles hardware and software R&D and testing. There is also Bangalore in India, which only carries out software R&D and testing.

And there is Prague in Czechia, which recently opened its doors to the IT press. Here, we take a look at what goes on behind the scenes in R&D and product testing at Pure Storage (and its nearby array assembly operation).

Capabilities across the three centres are in many ways duplicated, which sounds counter-productive. But it’s not quite as simple as that, according to engineering vice-president and Pure’s Prague site leader Paul Melmon.

“Generally speaking, the same capabilities exist across all sites, except Santa Clara with its hardware development facilities,” he says.

“We try to make projects run autonomously and to minimise cross-time zone meetings,” says Melmon, adding that information can be shared globally in other ways, such as in Git repositories. 

“Lots of companies split projects into many pieces and distribute them,” says chief technology officer Rob Lee. “We choose significant parts of individual products and give them to individual sites, and have product managers for specific products sitting locally.”

“We give a lot of thought to what to centralise and what to not,” says Melmon. “We have rules of engagement that aim at communications that can minimise the number of meetings.”

R&D, testing and talent in Prague

As mentioned, Pure’s Prague site is dedicated to software research, development and testing. It runs thousands of ongoing and custom test routines on hundreds of racks of software. These are divided into “persistent” and “non-persistent” testing, says engineering manager Tom Healy.

Non-persistent is ephemeral. It tests for issues in specific customer deployment configurations, or the impact of updates on controller code.

Persistent testing is long-term. It can be very long-term, in fact, with racks in place with, for example, generation upon generation of Pure Storage FlashBlade file and object storage deployed.

“Sometimes things can take years to occur,” says Healy.

“Our testbeds include, for example, FlashBlade capacity that dates back to the first generation [2016], some virtualisation, and a Windows application platform. All of this will run for years, to follow the lifecycle of customer systems and to test for the effect of changes to software and hardware, and its stability,” says Healy.

“And, FlashBlade uses Ethernet, so we are checking what happens when changes happen in the workload, simulation of new cabling, media, hitting it with broadcast storms, simulating signal degradation, etc,” he adds. 

Meanwhile, at the Prague facility, hundreds of engineers work constantly on storage array software to meet ongoing monthly and quarterly updates. 

Pure’s Prague R&D facility has just celebrated its five-year anniversary. It is resident in the Amazon building (no relation) and others in the riverside Karlin district. There it employs 600 people – 50% Czech, 50% from elsewhere – with up to 50 nationalities on-site.

Prague was chosen as a European centre because of its proximity to so many of Pure’s customers, but also, says Melmon, because of the availability of talent. “It’s on a level with Silicon Valley,” he says, and its accessibility in terms of transport links, universities, graduates in computer science, cost of living and general likeability of the city.

Speaking of the River City complex in which Pure is located, Melmon describes it as having a “South of Market” feel, referring to the fashionable area of San Francisco that became a honeypot for startups in the 1990s. “It’s the place to be if you’re in tech and AI [artificial intelligence]. There are meetups in the evening. It’s the cool new place to be in Prague.”

But it’s not just a cool place to work and live. Melmon points to the 19.7% figure, which is the proportion of revenue Pure spends on R&D. 

Prague is the biggest Pure Storage R&D centre outside the US and has delivered about a third of its FlashArray product development. Meanwhile, FlashBlade//S was jointly designed and tested there, while key elements of the Pure Fusion workload management platform and its Pure1 AIOps were developed in the Czech capital. Meanwhile, 100% of Portworx Data Services and Pure’s disaster recovery as a service (DRaaS) offering came from there too.

That’s the result, with Prague as a key pillar in the three-site R&D and testing strategy of Pure Storage.

Nearby, also in Czechia, is one of its global assembly centres, which you can read about here.

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Open-R1 is a truly open version of DeepSeek AI

On Monday, DeepSeek R1 crashed the stock market once it became clear to some of the investors trading AI-related stocks that the Chinese startup had found a way to train AI as capable as ChatGPT o1 without access to the state-of-the-art NVIDIA chips that OpenAI and US AI firms have access to. That’s why firms creating hardware for AI infrastructure suffered the most. NVIDIA shed nearly $600 billion in market cap, while the entire market lost almost $1 trillion.

I said at the time that the reactions might be blown out of proportion. Yes, DeepSeek employed software optimizations to develop AI as capable as o1 instead of relying on hardware. But that doesn’t mean NVIDIA’s GPUs are suddenly obsolete. It just realigns the playing field while providing a new way to innovate.

I still think that AI firms with access to the latest hardware and top-tier software talent will have an edge over Chinese rivals. All a company like OpenAI or Google has to do is replicate some of the tricks DeepSeek used to match the Chinese startup’s AI training and usage efficiency and then leapfrog it. The latest AI chips will still be very important here.

It turns out it’s not just the big AI firms that might try to copy what DeepSeek has done. A team of developers calling themselves Open-R1 wants to replicate the DeepSeek R1 success to create a reasoning AI model that’s just as powerful as R1. There’s a big twist in all of this that AI fans in Western markets will appreciate. Open-R1 should be even more transparent than DeepSeek R1.

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DeepSeek’s decision to make its AI models open-source was brilliant. This ensured that anyone could access and install the model on their computer. From there, they’d have a local model as capable as ChatGPT o1. The open-source route would also drive up adoption and testing. News about R1’s capabilities would spread rapidly.

But, as the Open-R1 researchers explain on Hugging Face, DeepSeek R1 isn’t fully open-source:

The release of DeepSeek-R1 is an amazing boon for the community, but they didn’t release everything—although the model weights are open, the datasets and code used to train the model are not .

That’s where Open-R1 is coming in: 

The goal of Open-R1 is to build these last missing pieces so that the whole research and industry community can build similar or better models using these recipes and datasets. And by doing this in the open, everybody in the community can contribute!

Specifically, the Open-R1 team wants to answer the following questions about DeepSeek R1 while they develop an identical AI:

Data collection: How were the reasoning-specific datasets curated?

Model training: No training code was released by DeepSeek, so it is unknown which hyperparameters work best and how they differ across different model families and scales.

Scaling laws: What are the compute and data trade-offs in training reasoning models?

The researchers plan to clone DeepSeek’s development strategy for R1, further fine-tune it, and create a truly open-source Open-R1 model that anyone could use.

Interestingly, the Open-R1 researchers want to distill DeepSeek R1 and create a high-quality reasoning dataset. DeepSeek might have done its own distillation, with OpenAI claiming the Chinese startup used ChatGPT to train its earlier versions of AI. That work might have been critical to getting to DeepSeek R1. It’s unclear if OpenAI can prove these allegations with absolute certainty.

However, the Open-R1 researchers have their own strategy after distilling R1, with the blog explaining how they plan to go forward.

If successful, Open-R1 could be a stepping-stone for developing other sophisticated AI models, and anyone could do it. The advantage here is that you would not have to go through the same training process. Conversely, that’s what OpenAI says DeepSeek did with ChatGPT, using some of its outputs to save money on training the AI.

An open-source reasoning model like the Open-R1 model the researchers propose could be used for other purposes, not just math and coding. The researchers mention medicine, where reasoning AI “could have significant impact.”

That said, it’s unclear how long the project will take and when Open-R1 will be ready for testing. Other AI researchers interested in Open-R1 can check out the project on GitHub.

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iOS 18.3 coming soon: New features, release date, AI updates, more

Apple is about to end the beta cycle of iOS 18.3. Unlike previous software updates, which took a lot more time to release, this one will likely be pretty straightforward. In this article, you’ll discover everything new with this future operating system update, its possible release date, and all the devices compatible with it.

Release Date

With iOS 15.3 and iOS 16.3, Apple only seeded two betas before making a Release Candidate version available. In early 2024, the iOS 17.3 beta needed an extra release, as Apple seeded three betas before the Release Candidate version. Apple then released iOS 17.3 in the third week of January.

With iOS 18.3, Apple seeded three betas and a Release Candidate version so far. We expect this software update to be available as soon as January 27. That said, Cupertino has a much bigger iOS 18.4 update coming in April.

iOS 18.3 beta 1 features

The first beta of iOS 18.3 only includes a few new features. Here’s what we know so far:

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Robot vacuum support: This feature was delayed to 2025. X user Aaron Perris discovered strings in iOS 18.3 beta code that show Apple wants to offer this feature with this next software update. When it’s available, robot vacuum makers will be able to control their vacuums through Apple’s Home app.

Turn off satellite communication: According to Bloomberg’s Mark Gurman, those companies who deploy iPhones through Mobile Device Management will be able to disable satellite communication services. The journalist says this is “designed for defense/space agencies who don’t want employees tapping into it.”

Camera Control icons: Apple has updated the Camera Control icons to the new Dark Mode. This change has been spotted by X user Aaron Perris.

AI Updates? At the moment, it’s unclear what changes Apple Intelligence might have in iOS 18.3. Given how far behind Apple is when it comes to AI, however, it’s possible that Apple will try to slip some new features and improvements into iOS 18.3.

iOS 18.3 beta 2 features

CarPlay featuresImage source: Porsche

Three weeks after Apple seeded the first beta of iOS 18.3, the company released a new build. At first, it doesn’t look like there are new features available with this version. However, 9to5Mac found under-the-hood changes.

CarPlay 2.0: It seems the latest beta keeps adding references to the new CarPlay experience. Apple missed its 2024 deadline, and since iOS 18.2, we’ve seen Cupertino adding new files about this upcoming feature to its software. With the latest iOS 18.3 beta 2, the company added references to “CarPlayHybridInstrument” in the Maps app.

Calculator bug: iOS 18 removed the ability to repeat math operations. However, the latest beta has restored this feature.

iOS 18.3 beta 3 features

As Apple comes close to the public release of this software, the company added a few more tweaks to this upcoming update:

Notification Summary: After complaints that Apple Intelligence was hallucinating while summarizing news headlines, the company decided to turn off summarization for the News category. In addition, Apple now notes that this might happen.

Messages: The iMessage menu now features a new Genmoji toggle, which helps users access this feature faster.

Camera Control tweak: The recently-added AE/AF Lock has been renamed to “Lock Focus and Exposure.”

iOS 18.3 RC Release Notes

These are the release notes of this update:

Notification summaries (All iPhone 16 models, iPhone 15 Pro, iPhone 15 Pro Max)

  • Easily manage settings for notification summaries from the Lock Screen
  • Updated style for summarized notifications better distinguishes them from other notifications by using italicized text as well as the glyph
  • Notification summaries for News & Entertainment apps are temporarily unavailable, and users who opt-in will see them again when the feature becomes available

This update includes the following enhancements and bug fixes:

  • Calculator repeats the last mathematical operation when you tap the equals sign again
  • Fixes an issue where the keyboard might disappear when initiating a typed Siri request
  • Resolves an issue where audio playback continues until the song ends even after closing Apple Music

Device compatibility

Image source: José Adorno for BGR

iOS 18.3 is compatible with the following devices:

  • iPhone XR, XS, and XS Max
  • iPhone 11
  • iPhone 11 Pro and 11 Pro Max
  • iPhone SE (2nd gen)
  • iPhone 12 mini and iPhone 12
  • iPhone 12 Pro and iPhone 12 Pro Max
  • iPhone 13 mini and iPhone 13
  • iPhone 13 Pro and iPhone 13 Pro Max
  • iPhone SE (3rd gen)
  • iPhone 14 and iPhone 14 Plus
  • iPhone 14 Pro and iPhone 14 Pro Max
  • iPhone 15 and iPhone 15 Plus
  • iPhone 15 Pro and iPhone 15 Pro Max
  • iPhone 16 and iPhone 16 Plus
  • iPhone 16 Pro and iPhone 16 Pro Max

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