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  /  Artificial Intelligence   /  NVIDIA v/s Meta: Who will Win the AI Supercomputer Race?

NVIDIA v/s Meta: Who will Win the AI Supercomputer Race?

NVIDIA and Meta are pacing fast forward for winning the AI supercomputer race

 

The AI Supercomputer is one of the top advanced computers present for a considerable period of time. That is not the news. The news is that they are transforming themselves at a rapid pace to become the fastest. The driving force behind such a move to constantly transform the world of computing is obviously AI. Of course, along with artificial intelligence, there is the role of machine learning, cloud computing, data science, and so forth. The latest generation of supercomputers has a markedly different design, with the data center toppling the hitherto dominant processor or network. The race to come up with the fastest AI supercomputer has now two distinct entities— NVIDIA Corporation and Meta. NVIDIA and Meta are competing against each other to release and launch an AI supercomputer in Industry 4.0. They are also focused on AI chips that can enhance the speed efficiently and effectively to improve productivity in the digital world.

NVIDIA Corporation is a multinational company incorporated in Delaware and based in Santa Clara, California. It is a fabless company that designs graphics processing units for the gaming and professional markets and AI chip units for the mobile computing and automotive market. Having invented the programmable shading GPUs in 1999 it is credited with defining modern real-time computer graphics. In its zeal to “reinvent” AI supercomputer graphics again to keep up with the changing times it aims to develop a “new rendering approach” which fuses rasterization and programmable shading with ray tracing and AI to make PC games look much more beautiful and realistic— almost cinematic.

NVIDIA aggressively seeks to dominate the twin worlds of top games and creative apps by installing NVIDIA Ampere architecture, the powered devices, as the claim goes, delivering stunning ray-traced graphics with industry-best performance. The company is globally showcasing the “limitless potential” of cloud gaming service GeForce NOW™. It asserts that players can experience the power of a GeForce PC in the cloud, using nearly any device they own. The range of the service is proved by the fact that it hosts eleven million members and is available in as many as seventy countries. Not just gaming, the company is seeking to utilize the power of its own supercomputer to transform artificial intelligence-based health care research.

The Future of the AI Supercomputer Race

If NVIDIA is claiming to be powering in the next era of computing, Meta also comes up to lend stiff competition to it. Meta has unveiled its AI Research SuperCluster (RSC) supercomputer, with 16,000 GPU, which is to serve the dual purposes of accelerating AI research and facilitating the company builds the Metaverse. Metaverse is a simulated digital environment that uses artificial intelligence (AI), augmented reality (AR), virtual reality (VR), and blockchain, along with concepts from social media, to create spaces for rich user interaction mimicking the real world. The RSC is supposed to help the company build new and better AI models, work across hundreds of different languages, and to develop new augmented reality tools. What is most important for our discussion here is that according to Mark Zuckerberg, RSC is one of the fastest and by the middle of this year it is “going to be the fastest”. According to Meta technologists, RSC is to build new and better AI models that can learn from trillions of examples, work across hundreds of different languages, seamlessly analyze text, images, and video together, develop new augmented reality tools. In the same breath, they claim that there will be much more.

So, the race for inventing the fastest AI supercomputer is on between NVIDIA and Meta. May the more efficient party win.