Nvidia, SKT, Rebellions to jointly establish heterogeneous computing system for AI
14 Articles
14 Articles
The U.S. company Nvidia, South Korean operator SK Telecom and launcher Rebellions agreed to join forces to develop a hybrid computer system of artificial intelligence. The company has signed a memorandum of understanding that integrates Nvidia graphic processors with the neural processors of the startup Rebellions. The new architecture will be used in the creation of the SK Telecom data processing centres, which is provided by Yonhap. The partne…
Nvidia, SKT, Rebellions to jointly establish heterogeneous computing system for AI
Nvidia, SK Telecom and domestic artificial intelligence (AI) chip startup Rebellions agreed Monday to combine their respective strengths to establish a heterogeneous computing system, Seoul's science ministry said. Under the trilateral memorandum of understanding (MOU), the companies will cooperate in the establishment of a heterogeneous AI computing system connecting Nvidia's graphic processing units (GPUs) with neural processing units (NPUs) d…
Rebellion, a leading Korean AI semiconductor startup that positioned itself as a "rival to NVIDIA," is joining the ecosystem of NVIDIA's computing infrastructure connectivity technology, "NVLink Fusion." With the opening of a path to utilize Rebellion's Neural Processing Units (NPUs) alongside NVIDIA Graphics Processing Units (GPUs), the article
(Seoul = Yonhap News) Reporter Kwon Ha-young = Domestic Neural Network Processing Units (NPUs) are linked with NVIDIA's global artificial intelligence (AI) computing systems to enter the global market...
The Ministry of Science and ICT, SK Telecom, and Rebellion have signed a business agreement to develop a heterogeneous AI computing system that links domestic NPUs with NVIDIA GPUs using NVIDIA's NVLink Fusion technology. This is expected to serve as an opportunity for domestic AI semiconductor technology to be integrated into the global ecosystem.
Competition in the artificial intelligence (AI) industry is no longer determined solely by the performance of a single type of semiconductor. It is becoming increasingly important to implement systems that efficiently process AI computations by connecting different types of semiconductors. In this context, cooperation is being pursued to integrate domestically produced AI semiconductors into the systems of NVIDIA, a leader in the global AI compu…
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