NVIDIA

The B300 GPU is the new Nvidia beast for Ia. And we already know what prepares for 2026 and 2027

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Jensen Huang, the co -founder and general director of Nvidia, has not let out the opportunity to publicize the next GPU for artificial intelligence (AI) that have put their engineers ready in the framework of the GTC 2025 (GPU Technology Conference). The spectacular thing this electrical engineer has presented is The DGX B300 platform. This hardware is the most powerful Nvidia for generative, although according to this company it is also its most efficient proposal from an energy point of view. The Blackwell Ultra GPUs work on the B300 platform elbow with a 2.3 TB Map of HBM3E memory, delivering according to NVIDIA 72 Pflops in training processes with precision FP8 and nothing less than 144 pflops in inference tasks with precision FP4. These figures are a real monstrosity. In fact, the B300 platform is 11 times faster in inference and 4 times in training than its predecessor, the B200. This is the hardware with which Nvidia wants to maintain her leadership If we look at the consumer figures announced by NVIDIA we will see that apparently the energy efficiency of B200 and B300 platforms is similar. The first consumes approximately 14.3 KW maximumand the second one 14 kW. However, there is something that we should not overlook: the GPUs of both solutions have been implemented on the Blackwell microarchitecture, but they are not the same. The Blackwell Ultra chips of the B300 platform are more powerful than the Blackwell to dry infrastructure B200. The B300 platform integrates 50% more memory, allowing you to deal with larger AI models In addition, the B300 platform integrates 50% more memory, which in theory allows this hardware to deal with larger and more parameters. This proposal will reach the first data centers During the second semester of 2025. In any case, Nvidia has not only spoken of her current hardware in this edition of her conference dedicated to AI; He has also anticipated what his engineers are working for 2026 and 2027. The microarchitecture that will replace Blackwell is known as Rubin, and, as expected, it will be even more powerful than his predecessor. An interesting detail is that Rubin will be compatible with Blackwell at the infrastructure level, which will allow Nvidia customers to combine both solutions. In any case, Rubin will deliver 1.2 EXAFLOPS in training processes with precision FP8 compared to 0.36 EXAFLOPS of the B300 platform. It will arrive during the second half of 2026. And during the second semester of 2027 Nvidia will launch Rubin Ultra, a review that according to this company will reach 5 exaflops In training tasks with FP8 precision, so your performance in this scenario will be almost four times greater than Rubin’s. A last interesting note: Rubin will use HBM4 memory, while Rubin Ultra will have HBM4E. Image | Nvidia More information | Nvidia In Xataka | AI is already our best ally to solve the mathematical problems that seem impossible

The future will be full of robots, says Nvidia. And just launch a tools to win that race

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The event GTC 2025 Nvidia began yesterday with an inaugural talk in which Jensen Huang machine -gunned us with a real Building burst. Among them, especially those focused on an area in which the company is especially optimistic: robotics. Foundational model. In March 2024 NVIDIA He already told us about his Project Grootand now said project has crystallized in the call Isaac Gr00t N1which qualify as the first open foundational model for humanoid robots. That is to say: the model is pretended, but it can be customized for all types of scenarios, both “domestic” and industrial. “The era of generalist robotics is here”. Huang declared how this new era began with this launch, and pointed out that thanks to Isaac Gr00t N1 and new data generation systems and learning for robots, developers can create much more capable robots. Robotic labor. The CEO of Nvidia highlighted how “it is very likely that this is the largest industry of all. At the end of this decade, at least 50 million workers will miss in the world. We would be more delighted to pay $ 50,000 to each one to come to work; we will probably have to pay the robots 50,000 dollars a year (instead).” Humanoid robots in sight. In The last part of your presentation Two and a half hours, the Nvidia CEO focused precisely on robotics, and for example showed videos of humanoid robots Neo gamma of the company 1x, which are based on Isaac Gr00t N1 and that already show their Potential as domestic robots. Other companies like Boston Dynamics –Creators of Atlas-, Quesoe Robotics and Neura Robotics are also developing this type of robots and have enjoyed preliminary access to the Nvidia robotic platform. Think quickly, think slowly. This foundational model uses a double architecture inspired by human cognition. Thus, system 1 is “a fast thinking action model” similar to what humans have with reflexes and intuition. System 2, enhanced by a vision model, is “a model of slow thought” that reasons about its environment and the instructions he receives and then raised his actions. Learning to move. This model therefore raises a pillar to develop robots (humanoids or not) that can operate in the real world. Thus, GR00T N1 can generalize and adapt to common tasks such as taking objects, moving them with one or two arms or carrying them from one place to another. Basic and limited operations are at the moment, but they are an important first step for the robots of the future. Basically these robots are learning to walk. A customizable model. Nvidia offers large information so that developers can start working with this model. Thus, we have both the Technical information Like project files available in Github. And data to train robots. Robots need huge amounts of data to be trained and learn to interact in the physical world. Nvidia ACBA to offer A huge and available data set in Hugging Face for this area. They are 15 TB of data that represent “more than 320,000 trajectories for robotic training”, in addition to 1,000 “scenarios” Scene Description (Openusd) to contribute to that training. Collaboration with Disney and Deepmind. Another of the robotic projects is the alliance with these companies to develop Newtonan Open Source physics engine that allows robots to learn how to manage tasks of all kinds with greater precision. Disney will be one of the first to use these robots, and in fact Huang finished the demo with a unique co -presenter: a robot that he called Blue and that was inspired by the BDX droids of Star Wars. It is something that Disney already pointed out years agoand it is likely that this type of entertainment robots will end in their attraction parks. Image | Nvidia In Xataka | We believed that Atlas was the pinnacle of modern robotics. Boston Dynamics has just killed the famous hydraulic robot

Nvidia tries to placate the criticism of the distribution of the GeForce RTX 50. Your answer is not entirely convincing

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Several weeks after its launch it is still very difficult to find in the stores a family graphics card GeForce RTX 50 with a price aligned with its official cost. The easiest model to get with a price Similar to the marked by Nvidia It is the GeForce RTX 5070but the others or have an important extra cost or are not available. In this scenario it is understandable that users who have decided to get one of these graphics cards are disappointed. Many of you have clearly expressed it in The comments of our articlesand forums dedicated to PC hardware are full of users They complain due to the low availability of the new NVIDIA graphics cards. Given the circumstances, the company led by Jensen Huang has been forced to face with the purpose of appeasing players and trying to explain what is happening. This is Nvidia’s response As we can see in the graphics that we publish on the cover of this article, Nvidia says that during the first five weeks after the launch has distributed twice the graphics cards of the GeForce RTX 50 family that on its day of the range GeForce RTX 40. However, this explanation deserves a calm analysis. And, as they point out in Tom’s hardware and Redditthis comparison does not scrupulously reflect what is happening. During the first five weeks of the launch of the GeForce RTX 40, only the RTX 4090 was available Jarred Walton, one of Tom’s hardware editors, explains very well: During the first five weeks after the launch of the GeForce RTX 40, only the RTX 4090. This graphics card arrived on October 12, 2022, and the RTX 4080 landed on November 16, just five weeks later. All users know that RTX 4090 is not an adequate graphic solution for a wide range of players or for its price or for their benefits. However, during the first five weeks after the launch of the GeForce RTX 50 family, the four graphics cards that are currently available: the RTX 5090, the RTX 5080, the RTX 5070 TI and the RTX 5070 arrived. The first two landed together on January 30, 2025, while the GeForce RTX 5070 TI arrived on February 20. Finally, the GeForce RTX 5070 appeared almost at the end of this period: on March 5. If we have all this present it is reasonable to conclude that the comparison made by Nvidia It is not balanced. Not even accepting the possibility that this company has added the RTX 4080 to the figure of the GeForce RTX 40 family. Hopefully both availability and prices are normalized as soon as possible for the good of users. Image | Nvidia More information | Tom’s hardware In Xataka | If Nvidia lived only from PC GPUs, she would be about to die of success. And US tariffs don’t help

AMD and NVIDIA are promoting unreal prices for their new graphics cards. They end up costing much more

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The same thing happens to each new generation of graphics cards. We excite ourselves thinking that we will finally have an opportunity to update our PC for a reasonable amount, and then the tortazo arrives. Because what manufacturers promise to which a world actually happens. On the one hand, Nvidia. Nvidia recently launched its RTX 5070 at a recommended price of 659 euros. Nvidia’s own edition, which had that price, It has been exhausted from the zero minute And it doesn’t even seem to be available in stores. The RTX 5070 TI, which has a recommended price of 899 euros, is possible find it at that pricebut is exhausted right now. Those that are available are more expensive versions. On the other, AMD. With the new Radeon RX 9070 / XT, three quarters of the same. The cards have gone to the market with recommended prices of 549 and 599 dollars respectively. There are not even PVPS in euros, but it doesn’t matter, because just being available in stores, its price is much higher. The most affordable we have found, a Gigabyte RX 9070, is 759.99 euros. If we want an RX 9070 XT, the most affordable model we have seen, 835 eurosIt is not available. Yes we have found one from Sapphire to 1,087.99 euros. It is a lot of difference with the prices recommended by AMD. But are they improved versions, right? The manufacturers take the reference designs of AMD and NVIDIA and try to raise additional improvements. For example, they preconfigure them with some overclocking to be something better in performance, they place additional cooling systems or add other elements, but the difference seems too high with respect to the recommended prices. Only a few at recommended prices. In Videocardz They have managed to talk to INET.se, a chain of stores and stores that sell these cards. Those responsible indicate that the recommended prices “will be applied to a limited number of cards.” In fact, they stand out, “they will only apply to the first shipment of each model.” Thus, it is not only that a few cards come out at those announced prices – which are exhausted right away – but it is very likely that such prices will not be repeated again, and go up depending on who sells them. AMD tries to soften the situation. In The Verge They have managed to contact AMD responsible, who neither confirmed or denied those allegations. What they said is the following: “It is inaccit that the recommended PVPs of 549 /599 dollars are launch prices. We hope that the cards are available in several suppliers to 549/599 dollars (excluded the tariffs and / or specific taxes of each region) based on the work we have done with our AIB partners (ADD-IN-IN-IN BOARD AIBs have different premium configurations at higher prices, which will also continue to exist. “ Deceptive advertising? The technique used by AMD and Nvidia is really worrying. Although there are users who in social networks claim to have found cards at recommended prices, many others point out how these models are exhausted and the only options are theoretically improved versions that manufacturers put at much higher prices. There is also a lot of resale and speculation, something that has been lived other times in the past. A lot of availability … if you buy an entire PC. Many of these stores offer these graphics without problems, but only if you buy them as part of a new gaming equipment. There it is more difficult to assess whether the price of the graph is really closer to the recommended or not. What is happening? The truth is that the situation is terrible for consumers, who can hardly access those graphs at the prices promised by AMD and NVIDIA. In Xataka we have contacted pccomponent, one of the main chains of sale of these products, to know if they can clarify the situation, but for now we have not obtained an answer. We will expand this article if we receive it. In Xataka | Nvidia has beat its income record again. Paradoxically, Wall Street does not seem to import much

China urgently needs an alternative to Cuda de Nvidia

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Chinese companies that are dedicated to artificial intelligence (AI) They already have at their disposal a wide range of GPUs designed and manufactured in China. Huawei is the best positioned company thanks to its Chips Ascend 910 family, but in the country led by Xi Jinping There are many other specialized companies in the tuning of hardware for which they also have great potential. Metax, Biren Technology, Moore ThreadsINNOSILICON, ZHAOXIN, ILUVATAR COREX, DEGLINAI OR VAST AI TECH ARE SOME OF THE MOST IMPORTANT. “China is dedicating mass resources to the implementation of emerging companies specialized in the development of GPU. Do not underestimate them.” This warning was probably not ignored. He was aimed at the US government and came from someone who knows well what he says: Jensen Huang. The general director of Nvidia He pronounced these words Last year, during the celebration of Computex, and it is evident that its intention was to prevent US administration about the consequences that They would have the sanctions that seek to stop the technological development of China. Hardware is no longer the problem; It is CUDA Li Guojie, a computer scientist from the Chinese Academy of Sciences that is considered an authority in China, has confirmed What we have just seen: GPUs for the most advanced Chinese, such as Huawei Ascend 910 chips that I mentioned above lines are comparable to current NVIDIA solutions in terms of calculation capacity. However, the authentic strength of the company led by Jensen Huang is not its hardware; is its ecosystem CUDA (Compute Unified Device Architecture). “Deepseek has had an impact on the CUDA ecosystem, but has not completely overcome it because barriers persist” Most of the AI ​​projects that are currently being developed are implemented on CUDA. This technology brings together the compiler and development tools used by programmers to develop their software for NVIDIA GPUs, and replace it with another option in the projects that are already underway It is a problem. Huawei, who aspires to an important portion From this market in China, it has Cann (Compute Architecture for Neural Networks), which is its alternative to CUDA, but for the moment CUDA dominates the market. The most surprising thing is that not only Chinese companies need to part with this software; The entire AI industry wants to end Cuda. This is at least what Pat Gelsinger saidthe former director general of Intel. In December 2023, this executive wet and explained what was the official position of his company in the context of the AI ​​sector. “The whole industry is determined to eliminate market CUDA (…) We see it as a shallow and small pit (…)”, Gelsiter defended in the framework of the event “Ai EveryWhere” held in New York. According to Li Guojie“China must develop an alternative system to achieve self -sufficiency in AI (…) Deepseek has had an impact on the CUDA ecosystem, but it has not completely overcome it because barriers persist. In the long term we need to establish a set of software tool systems for controllable that exceed Cuda“. This is undoubtedly one of the great challenges that China faces in this area. Perhaps Cann manages to break down gradually and manages to finally impose himself, but while he persists to some extent the development of AI in China will continue to depend on the US. Image | Moore Threads More information | SCMP In Xataka | We can forget an AI without hallucinations for now. The general director of Nvidia explains why

If Nvidia lived only from PC GPUs, she would be about to die of success. And US tariffs don’t help

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During the last weeks take a family graphics card GeForce RTX 50 Nvidia without falling into the hands of speculators is a real odyssey. At the time I am writing this article the only solution of this family that is easy to find at a price close to the recommended By nvidia is the GeForce RTX 5070. As is understandable, this situation generates frustration among the players who have decided to get one of these graphics cards, as you have noticed in the comments of our articles. To understand what is happening, we are interested in taking a look at “the photograph” of the PC graphics card market. According to the consultant Jon Pedie Research During the last 2024 quarter, more than 78 million GPUs were distributed for PC, which represents a 6.2% growth compared to the third quarter of last year. Nvidia leads this market with a quota of 65%, while Intel and AMD are formed with 16% and 18% respectively. This is our starting point. Difficult times arrive for the PC graphics card market This statement of Jon Pediethe head of the consultant who I have mentioned a few lines above, describes very precisely what the current situation is: “Nvidia, with the highest market share, had difficulty satisfying the demand. And as a result of its size and influence, it prevented the GPU market Tariffs will include profits for the majority, even for everyone, for 2025 “. TSMC is responsible for producing these chips for Jensen Huang’s company Nvidia has not officially revealed how many GPUs belonging to the GeForce RTX 50 family has delivered to graphics card assemblies, but it is evident that not necessary to meet demand. The Taiwanese manufacturer of semiconductors TSMC is responsible to produce these chips for the company of Jensen Huang, but it is important that we do not overlook that it not only manufactures the GPUs for Nvidia games; also produces its chips for artificial intelligence (AI). And the production capacity of TSMC is limited. From one thing we can be sure: in the current circumstances the GPU market for AI is a priority for Nvidia. After all, it is Its greatest source of income. The Jon Peddie Research report expects that from 2024 to 2028 the general market of the GPUs will be contracted annually, and in 2030 only 15% of the computers will have a dedicated graphics card. In these circumstances it seems reasonable to assume that Nvidia and AMD will pay more and more attention to their chips for AI, and perhaps a little less to their GPU for games. Anyway, there is another fact in Jon Peddie’s statement that is worth not overlooking: The tariffs which is deploying the administration led by Donald Trump. At the moment TSMC produces Nvidia chips in Taiwan. Perhaps in the medium term diverts the manufacture of these integrated circuits to Your new US plantsbut for the moment neither Nvidia, nor AMD, nor any other client who buys TSMC his chips produced in Taiwan will be fought from the tariffs. And in these circumstances, as Peddie states, the profits of these companies will be affected. If prices do not raise their benefits will be reduced. And if they are presumably submitted less, so their earnings will also resent. More information | Jon Pedie Research In Xataka | The Singapore government has revealed which companies are involved in the delivery of GPU from Nvidia A Deepseek

Nvidia graphics cards have become the new iPhone. If you want a decent, prepare to pay 1,000 euros

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Do you want to change graphics? No problem: Go preparing 1,000 euros. At least, if you want a modern and decent model, because that is the price at which we will have to get used to. The situation is demonstrating with the new Nvidia graphics. When launched its new RTX 5000 family cards range He did it with recommended PVPs that already taught the teeth: RTX 5090: 2,369 euros RTX 5080: 1,190 euros RTX 5070 TI: 899 euros RTX 5070: 659 euros Those prices are just a reference, because as soon as the availability is on sale, the availability is scarce and prices have shot. It is the same That has passed previously With Nvidia cards. Let’s put for example MSI models more affordable for each version: RTX 5090: From 2,549 euros RTX 5080: From 1,539 euros RTX 5070 TI: From 889.90 euros RTX 5070: Not available Except in the case of the RTX 5070 ti – that it is possible to find those recommended PVPs – we find that Prices already begin to be higher than those announced As soon as they go on sale. It is something totally legitimate – Nvidia speaks of recommended PVPs, not that manufacturers cannot modify them – but it again makes this market get more and more inaccessible to many users. There are several stores that especially sell these graphs as part of a new PC. Finding it otherwise is difficult, something that makes it clear that the availability is limited and that if you want to access one of these cards, you will have to think about totally renew your PC and not just that component. But something else is happening. In our ANALYSIS OF THE RTX 5090 AND RTX 5080 Our partner Juan Carlos López made his recommendation clear: The conclusion I have reached is that to users who have a GeForce RTX 20 either 30or an equity proposal of AMD, it may be interested RTX 40 I would recommend that you think about it well before buying an RTX 50. This jump I do not see anything clear unless the money is not a problem and you are willing to have the latest at almost any price. The performance improvement is there, but it is not so striking if we come from a relatively recent graph. In fact, the jump seems to modest except when we can Take advantage of DLSS 4. And the problem is that not all games can take advantage of This improvementalthough certainly the number of titles compatible with DLSS 4 goes up. But that also raises a danger. If you want to notice a performance improvement, the real person is no longer the hardware of these cards, but the AI ​​software that Nvidia has created. Until now, DLSS technology seemed to be a curious option, but now it has become the great sale argument for this manufacturer. But there is a problem with that. DLSS 4 It is a owner technology. That’s how it is. You will not be able to enjoy it unless you do not have one of the new Nvidia cards, and that is starting the creation of a dangerous vicious circle. One in which developers want to offer more fluid experiences to their users, but for that they have to modify their games to make them compatible with DLSS 4. That leaves out the competition (AMD), but also force users to bet on that new Nvidia walled garden. DLSS 4 is compatible with the old manufacturer’s old graphs – but Only RTX 50 offer multi frame generation-. This characteristic is what is possible to generate up to three frames for each rendering frame, and is therefore responsible for “multiplying” the performance and frame rate of the compatible games. That makes us facing a strategy similar to that of the iPhone: great in many things, exclusive and with a high price that usually surrounds the 900-1,000 euros, such as these Nvidia cards. That puts us all in a brete, especially since DLSS 4 could become another CUDA. Today that technology is the great responsible for the success of Nvidia in the world of AI. AMD also has chips for very competitive, but the problem of this manufacturer It is not hardware, but software (and specifically, CUDA). If Nvidia manages to convert DLSS 4 into another de facto standard, We will find a worrying situation in which a proprietary software standard ends up catching users and the industry. If a single manufacturer ends up dominating the market, you can do what you want with it. And that are potentially very bad news for users. In Xataka | Nvidia has beat its income record again. Paradoxically, Wall Street does not seem to import much

Nvidia lost 265,000 million dollars yesterday. Tariffs have caused terror among technology

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Nvidia lost 265,000 million dollars yesterday. It was an especially Aciaga for her, with 8.69% fall in the value of her action, but the day was dyed red throughout the technology industry. The trigger for that setback in the bags was clear: the tariffs. Donald Trump confirms tariffs. After announce tariffs to Canada and Mexicothe US president initially postponed his application, but yesterday announced that they would definitely enter into force as of today. It is a controversial measure that will make imports from Mexico and Canada apply 25%tariffs, which will make these goods more expensive. Immediate drop in bags. Trump’s announcement caused a clear collapse of several technological actions, but Nvidia was undoubtedly one of the most affected, with a fall of 8.69%. Intel lost 4.05%, Broadcom by 6.05%, and supermicro 13%. The red numbers were seen in much of the technological market, with all the great affected, although to a lesser extent than Nvidia. The indices confirm the fall. As They point The Kobeissi Letter analysts, the S&P index already opened down, and Trump’s announcement quickly precipitated the fall: in just six hours the values ​​included in this index had lost more than 100 points, about 1.5 billion dollars jointly. Nvidia’s shares has returned to September 2024 levels. Source: Google Finance. Relationship with Mexico. Although most Nvidia chips are manufactured in Taiwan, some of their most advanced systems and equipment based on these chips are manufactured in other regions that include both the US and Mexico. That means that these products would be affected by these tariffs. Curiously, Trump’s announcement did nothing but reaffirm Mexico’s plans with the Foxconn plant in Jalisco: it will be the most important assembly factory of the GB200 cards with Nvidia Blackwell architecture, and those responsible for They promised which will be finished in a year despite tariffs. TSMC and its project in the US. Trump took advantage of a conference yesterday to confirm The announcement of TSMC, which will invest 100,000 million dollars more – he had yet paid 65,000 million – in manufacturing plants on American soil. Nvidia indicated in CNBC that would manufacture chips in those facilities, which would allow tariffs. In Nvidia they are still optimistic. In spite of everything, Huang Indian A few days ago this second quarter of the year promises to be positive for the company. Everything has already prepared to manufacture their new chips with Blackwell architecture, and have corrected the defects that were detected in the first phases of production. Crypts also collapse. He announcement of strategic cryptor He had promoted the value of cryptocurrencies, but yesterday’s events also remarkably affected this market. Bitcoin lost more than 8%value, Ethereum almost 15%, XRP 17.61%, Solana 19.57%and adapt 18%. These were the five cryptocurrencies mentioned by Trump for that initiative, and the fall was huge in all of them. Image |Hillel Steinberg In Xataka | ‘The Nvidia Way’: This book is the perfect tool to understand how Jensen Huang has taken Nvidia to the top of success

The Singapore government has revealed which companies are involved in the delivery of GPU from Nvidia A Deepseek

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Depseek continues to be the artificial intelligence (AI) of the moment five weeks after its irruption. And is that the debate about the hardware used by this Chinese company to train your AI model Keep on the table. High-flyer, your parent company, is A quantitative coverage fund specialized in trading algorithmic. This simply means that this company uses advanced mathematical models and computational algorithms to address investment decisions with the greatest possible success guarantees. Deepseek was born as a high-flyer secondary project to take advantage of its computer resources and “put one foot” in the AI ​​industry. Its creators say that in the training of their model they have used only 2,048 chips H800 of Nvidia. However, Some analysts defend that, in reality, its infrastructure brings together 50,000 GPU H100 bought through intermediaries. This is the problem. High-flyer could legally buy the H800 chips to the entry into force of US sanctions of November 16, 2023, but the H100 GPUs should not be in their possession. Singapore is the entrance door to China of the chips for the most advanced Nvidia The US government has suspected for many months that Chinese companies and research centers dedicated to AI acquire the most advanced NVIDIA GPUs through Singapore and Malaysian intermediary companies. This possibility is no longer just a hypothesis. And it is that the Singapore government has confirmed that it has identified those responsible for diverting to China, and presumably towards the Deepseek parent company, servers that contain the high -performance GPUs produced by NVIDIA. The US now has the opportunity to tighten its fence a little more about China This information was revealed last week by the television channel Channel News Asia, and today the Minister of Internal Affairs and Justice of Singapore, K. Shanmugam, He has confirmed it. Interestingly, it has not specified what the GPUs that incorporate these machines, but it has made public a very important fact: The name of the companies They have manufactured the servers. And they are two very important Nvidia customers: Dell Technologies and Super Micro Computer. If it is finally confirmed that Depseek, or any other Chinese company that is dedicated to AI, is getting the Nvidia avant -garde GPUs acquiring servers of these companies in Singapore or Malaysia, USA will have the opportunity to tighten your fence a little more. However, this would not demonstrate the guilt of Dell and Super Micro, although its indirect involvement in the traffic of the Nvidia chips. This circumstance would put on the table the need to control with more precision where their servers will stop, something that, on the other hand, It is not easy. Whatever the Singapore government claims to be willing to collaborate with his American counterpart to end the illegal vanguard GPU traffic. Image | Nvidia More information | Reuters In Xataka | We can forget an AI without hallucinations for now. The general director of Nvidia explains why

AMD RX 9000 RX 9000 are lists. And they come determined to fight you with the GeForce RTX 50 of Nvidia

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AMD has just presented its first graphics cards that implement RDNA 4 microarchitecture. He told us about them during the 2025 CES, but at that time he only announced a few details about his architecture. THE RADEON RX 9000 They are destined to measure from you to you with the GeForce RTX 50 of Nvidia, so presumably they will not have it easy. Whatever the new AMD graphics cards come full of novelties. His best baza a priori is his microarchitecture. And, as we are about to verify, RDNA 4 proposes a lot of refinements, so, on paper, it should significant clearly to the Radeon Rx 7000 With microarchitecture Rdna 3. In addition, the Rx 9000 RADEON proposes the technology of reconstruction of the image Fidelityfx Super Resolution 4 (FSR 4), which, on paper, is able to give us a cadence of images per second and a higher level of detail than FSR 3. Rdna 4: This is the authentic heart of the Radeon Rx 9000 The slide that we publish under these lines collects the main characteristics of the RDNA microarchitecture 4. The lithography used to manufacture the RADEON RX 9000 GPU uses a 4 Nm integration technology, presumably from TSMC. However, these chips give us many more innovations. And AMD promises that the calculation units of these GPU have been deeply redesigned, that their performance when facing the Ray layout It is higher, and that, in addition, they rely on the artificial intelligence (AI). The lithography used to manufacture the RADEON RX 9000 GPUs uses a 4 Nm integration technology AMD will continue in these graphics cards the same path as NVIDIA: it will address the reconstruction of the image using the latest generation algorithms. On the other hand, Radeon RX 9000 have SECOND GENERATION ACCELERATORSThird generation ray layouts and a second generation video signal delivery engine. An important detail: according to AMD the average performance of the calculation unit with Microarchitecture RDNA 4 is 40% higher than that of RDNA 3 solutions. The next slide clearly reflects that much of the improvements introduced by AMD engineers seeks to increase the performance of the new GPUs when they must deal with AI algorithms to face the reconstruction of the image. AMD promises that the RDNA 4 duplication of RDNA 3 in FP16 operations; It quadruples in int8 and when working with FP16 matrices with many zero values ​​(this circumstance is known as ‘sparsity’), and multiplies it by eight when operating with int8 matrices with sparsity. On paper is not but that nothing wrong. We are now with the reconstruction of the image through ia. FSR 4 technology is only compatible with the new RADEON RX 9000 graphics cards because the presence in the GPU of Hardware resources introduced by AMD in these chips. Be that as theory this technology offers us a cadence of images per second higher, a higher level of detail and a lower latency. In addition, FSR 4 uses the same application programming interface (API) as FSR 3.1, so developers who have worked with this last tool should have no problem when making the leap to the new technology developed by AMD. A curious note: in the next slide we can see that this company promises that its technology is prepared to face the neural rendering that will arrive in the future. Sounds good. We’ll see what it consists of when the time comes. The next slide collects the main specifications of the RADEON RX 9070. This graphics card, the most “modest” of the two that the Radeon RX 9000 family today, incorporates, incorporates 56 calculation units16 GB of GDDR6 VRM, the GPU works at a maximum clock frequency of 2,520 MHz and has an average consumption of 220 watts. The Radeon RX 9070 XT is a bit more ambitious than the model in which we just inquired. It proposes 64 calculation units, 16 GB of GDDR6 type VRM, the GPU works at a maximum clock frequency of 2,970 MHz and has an average consumption of 304 watts. It will be interesting to see how it yields to the GEFORCE RTX 5070 TI of Nvidia. There are the prices of Radeon RX 9000. RX 9070 XT will cost $ 599 (about 575 euros). And to get a RADEON RX 9070 we will have to pay $ 549 (Approximately 527 euros). AMD’s plan is that these two graphic solutions compete from you to you with the GeForce RTX 5070 Ti and 5070 of Nvidia. One last note to conclude: the two graphics cards with which the Rx 9000 AMD family is born will be available from next March 6. More information | AMD In Xataka | The next revolution of the chips is approaching. Intel, Samsung, TSMC and AMD already work on glass substrates In Xataka | This is the strategy that has kept Nvidia at the top for more than two decades: the dilemma of the innovator

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