Meta has been in the Artificial intelligence game since 2013. Recently, the company announced that it has launched its first AI Supercomputer RSC. Yes, you read that right the social media giant has developed its first AI supercomputer RSC, Research SuperCluster that is expected to give the Meta’s Metaverse a shape.
Facebook announced its name change last year and that cleared the intentions of the Social media giant towards the Metaverse. There is no doubt that Facebook has got enormous resources and will be stepping into the Web 3.0 game with all of it. The company launched its first virtual world, Horizon’s world on a trial basis and now, the company has announced that Meta First AI Supercomputer is almost ready.
Well, the name of the Meta first AI Supercomputer is RSC, Research SuperCluster. We know there might be a number of queries running in your head right now. So, here we are with the post that will clear all your doubts.
Let’s not keep you waiting for much and start with the article.
What Is RSC – Meta First AI Supercomputer
Well, RSC stands for the Research SuperCluster. It is an Artificial intelligence supercomputer developed by Meta engineers. The supercomputer has completed its first stage and is being used in Meta’s development projects.
Meta has claimed that it is the fastest machine that has been developed to date of its type. Still, work is going on with the development of the supercomputer. By the mid of year, 2022 it is said that it will be among the top 10 supercomputers in the world and as the year ends it will become the fastest supercomputer in the world.
Meta also said that the researchers are now working in the NLP (Natural Language Processing) with the computer. This technology will help the supercomputer to understand thousands of languages.
The ultimate aim of the company is to develop a training model with trillions of parameters that will in the future help the Meta engineers to develop good AI models.
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Research SuperCluster – History, Configuration, And Mechanism
The making of the RSC (Research SuperCluster) started in early 2020. However, we know the tough scenarios of the year. It was a global pandemic and the company went with a shortage of supplies as well. The engineers worked with the full dedication from their homes and as a result, Meta’s first Supercomputer is all set to release by the end of 2022.
The Meta team is building AI infrastructures since 2013. The first generation was developed in the year, 2017. The model consisted of 22,000 NVIDIA V100 Tensor Core GPUs. These GPUs are capable of 35,000 training jobs per day. Well, that was quite a huge number to beat.
So, Meta decided to use the potential of the GPUs to build the Supercomputer. You must be wondering why the GPUs. Well, it was totally new to the concept of the GPUs then let us tell you that GPUs are the Graphic processing units that have the ability to work on multiple cores at the same time and that is what we require in the Supercomputer plus it is also best for tackling the machine learning problems.
The AI supercomputers are made by the combination of several GPUs into the compute nodes. These GPUs are then connected by the high-performance network fabric. This allows faster communication between the GPUs.
As we told you the first phase of the Research SuperCluster is completed. It has been built from scratch the team of engineers has developed everything from scratch including the networking, cabling, cooling, and power.
The RSC’s phase one consists of a 760 NVIDIA DGX A100 system. This system consists of 6,080 GPUs that are connected together to make the Supercomputer. According to Meta, only the first phase of the RSC is giving 20 times better performance. Now, think of the performance after the second phase is completed.
Well, the second phase of the AI Supercomputer is expected to be completed by the end of 2022. After the phase two completion, it is expected that the RSC will contain a total of 16,000 GPUs and it will be able to train the AI systems for Meta.
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How Will RSC Help Meta In Developing Its Metaverse
RSC can prove to be a game-changer in Facebook’s approach towards its Metaverse. It can help the company in various ways that will make it a perfect asset to the company. Well, given below are the few features of the Research SuperCluster.
Help In Developing The AR Tools
Well, we know that the Internet is evolving rapidly and Metaverse is the future. Well, there is a need for the companies to pivot towards the Web 3.0 era. Facebook rebranded itself and changed its name for the cause.
Not only this, the company is also planning to develop various virtual worlds as well. But, we know that there will be requirements for various AR and VR tools as well. So, the Ai Supercomputer that is being developed will help the engineers in developing the tools by performing heavy calculations for a better experience.
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Understand The Language
Meta is not a company that is limited to just one nation. It has got an audience from all over the globe. So, the diversified audience brings in a lot of languages. Even if the language is the same, the pronunciation is not. You know there is a lot of difference between Water and Watah.
As we already told you the NLP is already being included in the AI supercomputer it will help it to understand the Language easily.
Real-Time Voice Translation
This feature can prove to be a real game-changer in the best Metaverse project race. What do we expect from the Metaverse? A virtual space that will give us a platform to meet with our friends, talk with them and play with them.
Imagine having a friend from a country and you both don’t know each other’s language. Or let us say that you set up a business meeting in Japan in the Metaverse. The Real-Time Voice translation provided by the Research SuperCluster will solve all your problems. Language is no longer a barrier now.
How Fast Is Meta’s AI Supercomputer RSC
Well, there are several parameters to measure the speed of the computer. However, we personally feel that if you want to measure success then you must compare it with your previous models. Correct us if we are wrong.
So the Research SuperCluster is 20X faster than the Meta’s V100 based production and 9X faster than the V100-based research cluster.
Not to forget that only phase one of the RSC is completed. So, more is to come by the end of 2022.
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What Is The Difference Between A SuperComputer And AI Supercomputer
We know you might be thinking a lot about what is the difference between the AI Supercomputer RSC developed by Meta and the Supercomputer that we use in real life.
Well, let us tell you the major difference between the two. The Supercomputers that we use for rocket science or weather reports are accurate. They work on precision. However, the AI supercomputer developed by Meta does not need to be precise because machine learning is the ultimate aim of the Research SuperCluster does not need that much precision.
Wrapping Up
Although Meta has developed its AI Supercomputer, Research SuperCluster. It hasn’t exposed the cost and the location of the same yet. Well, we know that Facebook has got enormous resources and it is going to use all of them on the Metaverse. The time that Mark Zuckerberg said that Metaverse will be here by 2025 seems pretty clear from here.
We knew that the Social Media companies were developing AI to make their platforms better. However, the introduction of the AI supercomputer has raised the bar again.
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