Tech Explained: Samsung and Nvidia Push AI-RAN to Commercial Reality  in Simple Terms

Tech Explained: Here’s a simplified explanation of the latest technology update around Tech Explained: Samsung and Nvidia Push AI-RAN to Commercial Reality in Simple Termsand what it means for users..

  • Samsung and Nvidia completed multi-cell testing of integrated vRAN software running on Nvidia Grace CPU and L4 GPU platform at Samsung’s R&D center

  • Samsung will demo AI MIMO beamforming at MWC 2026 that uses AI algorithms to boost spectral efficiency and extract more capacity from existing spectrum

  • The partnership focuses on unified CPU-GPU chipsets that enable faster data exchange while balancing performance and total cost of ownership for carriers

  • Samsung’s AI-RAN push builds on its large-scale commercial vRAN deployments, serving hundreds of millions of wireless subscribers globally

Samsung and Nvidia just cleared a major hurdle in the race to bring AI-powered cellular networks to market. The companies completed a multi-cell test combining Samsung’s virtualized RAN software with Nvidia’s Grace CPU and L4 GPU platform, validating performance in real-world network conditions. The breakthrough positions Samsung to showcase commercial-ready AI-RAN technology at Mobile World Congress 2026, where the company will demonstrate AI-driven beamforming that squeezes more capacity from existing spectrum—a critical capability as wireless traffic continues its relentless climb.

Samsung and Nvidia are moving AI-powered cellular networks from lab concept to commercial deployment. The companies announced today they’ve successfully completed multi-cell testing of Samsung’s virtualized RAN software running on Nvidia’s accelerated computing platform, marking what both companies call a key milestone toward real-world launches.

The test environment at Samsung’s R&D center validated performance across multiple cellular sites—a crucial step beyond single-cell lab work. By integrating Samsung’s vRAN software with Nvidia’s ARC Compact platform equipped with Grace CPU and L4 GPU, the companies demonstrated that AI-enhanced network software can handle the complexity of actual carrier deployments.

“As AI-powered capabilities become integral to meeting the demands of evolving networks and growing traffic needs, Samsung’s vRAN takes center stage with its software-based architecture,” Keunchul Hwang, Executive Vice President and Head of Technology Strategy Group at Samsung Networks, told Samsung Newsroom. “The successful multi-cell test with Nvidia is another reinforcement of Samsung’s endeavor and leadership in providing operators with more flexibility and the best performance.”