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."
At Mobile World Congress 2026, Samsung plans to showcase what this looks like in practice. The company will demonstrate an AI-RAN system running on Nvidia AI infrastructure that uses AI algorithms to optimize MIMO beamforming—the technology that steers wireless signals to specific devices. The AI-powered approach promises higher spectral efficiency, letting carriers squeeze more throughput from their existing spectrum holdings without buying more airwaves.
That matters because wireless traffic keeps growing while spectrum remains scarce and expensive. AI-RAN technology offers carriers a path to boost capacity using software intelligence rather than just adding more cell sites or buying spectrum at auction.
The technical architecture centers on tight integration between processing components. Samsung and Nvidia are working on what they call "high-speed connections between CPU and GPU" using Nvidia's unified processor design that embeds both components in a single chipset. This approach enables faster data exchange between the CPU handling network control functions and the GPU running AI inference workloads.
"This allows fast and efficient data exchanges between CPU and GPU while enabling optimal balance of performance and total cost of ownership," according to Samsung's announcement. That cost equation matters to carriers evaluating whether AI-RAN delivers enough performance improvement to justify the investment in new infrastructure.
The partnership builds on work that ramped up last month when the companies completed integration of Samsung's vRAN software with Nvidia's ARC Compact hardware. That integration work laid the groundwork for the multi-cell testing Samsung announced today.
"Operators today need AI-native, software-defined infrastructure to stay ahead of evolving connectivity demands," Soma Velayutham, VP of AI and Telecoms at Nvidia, said in Samsung's release. "Samsung's successful multi-cell validation and innovative AI beamforming solution on Nvidia AI Aerial mark an important milestone towards AI-RAN commercialization."
Samsung's push into AI-RAN comes as the company leverages experience from large-scale commercial vRAN deployments already serving hundreds of millions of wireless subscribers. The Korean giant has been building out its position in virtualized and open RAN architectures—software-based approaches that break from traditional proprietary hardware systems.
That software foundation gives Samsung flexibility to add AI capabilities on top of existing vRAN deployments. The company's network portfolio now spans everything from traditional purpose-built RAN to virtualized RAN, Open RAN, cloud-native core networks, and private network solutions. AI-RAN represents the next evolution, applying machine learning to optimize how networks allocate radio resources in real time.
The race to commercialize AI-RAN is heating up across the telecom equipment sector, with Nokia recently announcing its own AI-RAN developments. Samsung's multi-cell test completion and MWC demonstration signal the company is pushing hard to turn AI-RAN from concept to commercial product that carriers can actually deploy.
For Nvidia, the Samsung partnership extends its reach beyond data center AI into the telecom infrastructure market. The company's Grace CPU and L4 GPU are already powering AI workloads in cloud environments, and telecom represents a massive new market as carriers rebuild networks around software and AI.
The technical challenges are substantial. AI-RAN systems need to make optimization decisions in milliseconds while handling thousands of connected devices per cell site. They need to run AI inference workloads efficiently enough that the performance gains outweigh the added complexity and power consumption. And they need to integrate with existing network management systems that carriers have built over decades.
Samsung's multi-cell test suggests those technical pieces are coming together. But the real test comes when carriers start deploying AI-RAN in commercial networks serving paying customers. Samsung's MWC demonstration will give the industry its first public look at what that future might look like.
Samsung and Nvidia's multi-cell test completion signals AI-RAN is moving from research labs to commercial readiness. The MWC 2026 demonstration will show whether AI-powered beamforming can deliver the spectral efficiency gains carriers need to justify deploying new infrastructure. With wireless traffic growing and spectrum remaining expensive, AI-RAN offers a software-driven path to boost network capacity—if the technology can prove itself in real-world deployments. Samsung's existing vRAN footprint serving hundreds of millions of subscribers gives it a platform to roll out AI capabilities at scale, while Nvidia gains a major new market for its AI accelerators beyond data centers.
