It is safer, efficient and hard more

During the last five years the modular and compact fission reactorsknown as SMR for its English denomination (Small Modular Reactor), have monopolized all the prominence. These machines are called replace reactors of nuclear fission Conventional because, without investigating their peculiarities, they are smaller, clean, safe and cheap. However, it is currently innovating in this field beyond the reactors. Another area to which some research and companies are dedicating their resources is the fuel used in this form of electricity generation. As we explain in the article we publish after visiting The fuel bars factory That the Spanish public company enusa advanced industries in Salamanca, the fuel usually used in the fission reactors is made up of slightly enriched uranium oxide (never above 5%). This means that at most only 5% of the total mass of uranium is the Uranium-235 isotope (which is the “easily” fistable), while the rest is mostly Uranium-238. It may seem that there is very little uranium-235 in front of the total mass of uranium, but in reality this amount is sufficient to sustain the reaction of nuclear fission. On the other hand, this is the proportion set by international regulations for the production of fuel for nuclear power plants. An interesting note: nuclear weapons use high enrichment uranium, so more than 90% of the total mass is Uranium-235. Lightbridge Fuel is ready to replace the conventional fuel To manufacture the fuel bars used by most of the reactors in operation, it is necessary to subject the uranium to the mixing, pressed, sintering, rectified and inspection processes. These procedures are carried out in an area of ​​the factory known as the ceramic area, and the mechanical area takes over to manufacture the combustible elements that will finally go to nuclear power plants. What the American company Lightbridge Corporation proposes with its Lightbridge Fuel nuclear fuel is different. The main contribution of the Lightbridge Fuel fuel is that in its production a process known as coextrition is involved Its fuel has been designed to be used in light water reactors and existing heavy water pressurized, so it has been developed with the vocation of replace traditional fuel bars. The main contribution of the Lightbridge Fuel fuel is that in its production a process known as coextrition is involved. It consists of covering the cylindrical pills of impoverished uranium and zirconium with an alloy of zirconium and then subdue this structure at high pressure in a die with the purpose of shapeing a cylindrical rod of approximately 2.4 meters long. Circonium alloy used in the coating is crucial to confine radioactive fuel within the nuclear reactor. In any case, the really important thing is that according to its creators the Lightbridge fuel fuel Stop in several key parameters to the conventional fuel. “By integrating the uranium and zirconium alloy with a nuclear degree coating material we are improving the safety, efficiency and fuel performance,” Assures Scott HolcombeVice President of Engineering of Lightbridge Corporation. If this fuel finally exceeds all relevant security tests and is approved by the regulatory authorities in the future, it can also be used in modular and compact reactors (SMR). More information | Interesting Engineering In Xataka | China advances at a dizzying speed in nuclear fusion. It already has something ready that until now only had the Netherlands

There will be a before and after Deepseek. We already know why this is so efficient

The publication of the V3 model of the artificial intelligence (AI) Deepseek as an open source is a blessing. And it is because little by little we are knowing in detail the strategy of the engineers of this Chinese company to Take a model of so efficient. Before moving forward with this article, it is important that we keep in mind that Depseek says that has trained his model using only 2,048 chips H800 of Nvidia. Some analysts defend that, in reality, its infrastructure brings together 50,000 GPU H100 Buy through intermediaries, but for the moment it is just a conjecture. This chip is more powerful than the H800, but it is perfectly credible that Depseek has been forced to settle for the latter because The sanctions of the US government They have prevented Chinese companies from access to the H100 GPU. In fact, since November 2023 Nvidia cannot deliver To your Chinese clients your H800 chip. One of Depseek’s keys is called PTX In the recipe for the thrilling growth that Nvidia has experienced during the last five years, its GPU does not intervene; CUDA technology (Compute Unified Device Architecture) also has An essential role in your business. 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. In addition, this Nvidia tool puts in the hands of programmers High level language that allows them to access the GPU hardware in an affordable way. Even so, and we reach the heart of this article, Deepseek engineers have not used Cuda to develop their AI: They have used PTX (PARALLEL THREAD EXECUTION). Deepseek engineers have decided to use PTX to get the most out of the H800 GPUs as possible This language is similar to the assembly. In fact, it is somehow the assembly that proposes the developers who use their GPUs and need to implement low level optimizations in their code. Programming with PTX is more difficult and laborious than doing it with CUDA, but it entails the advantage that it allows developers to write a more efficient code, and, therefore, capable of taking better advantage of the resources offered by the Hardware of the GPU. Presumably the Deepseek engineers have decided to use PTX to get the most out of the H800 GPUs they had in their possession. One of the stratagems they have devised has consisted of assigning only 20 SM (Multiprocessors streaming) From each GPU to the communication between the servers, which has allowed them Dedicate the remaining 112 From each chip to calculation processes. In essence, Deepseek has been built since zero by resorting to this type of optimizations, which largely explains why this AI model is so efficient. The programmers of this Chinese company have objectively materialized an achievement in the field of engineering that will in all likelihood will have a deep impact on the way in which AI models developers will face their projects in the future. This is the palpable evidence that China is successfully adapting to the shortage of GPUs that have triggered US sanctions in their companies. Image | Nvidia More information | Mirae Asset Securities Korea In Xataka | We can forget an AI without hallucinations for now. The general director of Nvidia explains why

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