Samsung & AMD AI Collaboration 2026: HBM4, AI-RAN & EPYC Impact
"Samsung and AMD just expanded their AI partnership with HBM4 memory supply and AI-RAN breakthroughs at MWC 2026."
 |
| Samsung AMD executives signing MOU for next-generation AI memory solutions March 2026 |
In the race to make AI faster, smarter, and everywhere, two tech giants just turned up the heat. On March 18, 2026, Samsung Electronics and AMD signed a fresh Memorandum of Understanding (MOU) at Samsung’s cutting-edge Pyeongtaek chip complex. The deal locks in Samsung as the primary supplier of next-generation HBM4 memory for AMD’s upcoming Instinct MI455X GPUs and optimized DDR5 for its sixth-gen EPYC “Venice” processors.
This isn’t a one-off handshake. Just two weeks earlier at MWC 2026 in Barcelona, the companies already showed real-world results from their long-running partnership: commercial-grade AI-powered virtualized RAN (vRAN) running entirely on AMD EPYC CPUs, plus live demos of Network-in-a-Server (NIS) edge AI solutions.
Together, these moves signal something bigger. While the world obsesses over flashy AI chatbots and phone features, the real battle is happening in the invisible infrastructure that keeps everything connected and responsive. Samsung and AMD are betting that the winners in AI won’t just have the best models—they’ll have the best networks and memory to run them at scale.
From Verification to Real Networks: The MWC 2026 Milestones
The foundation was laid at Mobile World Congress. Samsung announced it is moving its AI-native network tech from lab tests to live operator deployments across 5G Core, virtualized RAN, and private networks—all powered by AMD EPYC processors.
One concrete win: Canadian carrier Videotron is now rolling out Samsung’s 5G Non-Standalone and 4G LTE Core gateway solutions using the latest AMD EPYC 9005 Series CPUs. This marks Samsung’s expanded footprint in North America and shows operators can trust a fully software-based, virtualized stack without needing extra accelerators.
At the show floor, visitors saw AI-RAN breakthroughs in action. Samsung ran multi-cell vRAN tests on AMD EPYC CPUs at its own R&D lab, proving scalable performance with zero hardware add-ons. The same CPUs powered the Network-in-a-Server (NIS) platform—a fully virtualized edge AI box that turns network infrastructure into an intelligent computing platform.
Live demos with a major Japanese operator highlighted practical use cases: real-time video analysis, sensor and radar detection via Integrated Sensing and Communication (ISAC), and hyperconnectivity for next-gen devices. These aren’t futuristic concepts. They’re verified in actual environments today.
Keunchul Hwang, Executive Vice President and Head of Technology Strategy Group at Samsung Networks, put it plainly: “Samsung’s accomplishment with AMD emphasizes what’s possible when AI-native, open and virtualized architectures meet advanced compute innovations. We’re making headway to help operators fully scale AI-native networks today with commercial-grade performance and greater infrastructure optionality.”
Derek Dicker, corporate vice president of AMD’s Enterprise Business Group, echoed the excitement: “Our latest multi-cell vRAN testing with Samsung demonstrates how our latest generation EPYC processors deliver the performance, efficiency and scalability that network operators and enterprises need to build next-generation networks that are ready for AI, automation and future innovations.”
March 18 MOU: Supercharging the AI Data Center Stack
While the network side grabbed headlines at MWC, today’s MOU shifts the spotlight to the heart of AI training and inference—the memory and silicon that power massive data centers.
Under the agreement, Samsung will supply its industry-leading HBM4 as the primary memory for AMD’s next-gen Instinct MI455X GPUs. HBM4, built on Samsung’s 1c 10nm-class DRAM process with a 4nm logic base die, delivers up to 13 Gbps speeds and a staggering 3.3 TB/s of bandwidth per stack. That’s the kind of throughput needed when AI models are measured in trillions of parameters.
The same collaboration extends to high-performance DDR5 solutions for AMD’s sixth-generation EPYC CPUs (codenamed Venice) and the Helios rack-scale platform. The goal is clear: tighter integration from memory to GPU to CPU to entire racks, reducing power draw and boosting overall system efficiency.
Young Hyun Jun, Vice Chairman and CEO of Samsung Electronics, said during the signing: “Samsung and AMD share a commitment to advancing AI computing, and this agreement reflects the growing scope of our collaboration. From industry-leading HBM4 and next-generation memory architectures to cutting-edge foundry and advanced packaging, Samsung is uniquely positioned to deliver unrivaled turnkey capabilities that support AMD’s evolving AI roadmap.”
Dr. Lisa Su, Chair and CEO of AMD, added: “Powering the next generation of AI infrastructure requires deep collaboration across the industry. We are thrilled to expand our work with Samsung, bringing together their leadership in advanced memory with our Instinct GPUs, EPYC CPUs and rack-scale platforms. Integration across the full computing stack, from silicon to system to rack, is essential to accelerating AI innovation that translates into real-world impact at scale.”
The MOU also opens the door for potential foundry services, where Samsung could manufacture future AMD chips—another layer of supply-chain resilience as demand for AI silicon explodes.
Why This Matters for Everyday Users and Businesses
You might be thinking, “Cool, but how does this affect my phone or laptop?”
The answer is simpler than it sounds. Better 5G networks powered by AI-RAN mean fewer dropped connections in stadiums, smarter traffic management on highways, and lower latency for cloud gaming or AR apps. When the network itself can run AI workloads at the edge (thanks to NIS), your device doesn’t have to send everything to a distant data center. That saves battery, cuts delays, and opens doors for new services like real-time translation during calls or instant video enhancement.
On the data-center side, the HBM4 partnership directly helps AMD close the gap with competitors in AI accelerators. More efficient memory and CPUs mean hyperscalers can train larger models cheaper and faster. That trickle-down effect eventually reaches consumer AI features—think more capable on-device processing in Galaxy phones or smarter enterprise tools.
Samsung already serves hundreds of millions of users worldwide with its end-to-end 5G solutions. AMD’s Instinct and EPYC lines are in major AI deployments globally. Combining their strengths creates a more open, flexible ecosystem that reduces single-vendor risk for operators and cloud providers.
A Partnership Two Decades in the Making
This isn’t their first dance. Samsung and AMD have worked together for nearly 20 years across graphics, mobile, and computing. Samsung has been the primary HBM3E supplier for AMD’s current Instinct MI350X and MI355X accelerators. The mobile GPU collaboration in Exynos chips dates back even further.
What’s new in 2026 is the depth: from telecom networks all the way to rack-scale AI systems. Both companies are betting that open, software-defined architectures will win over proprietary lock-ins.
The Bigger Picture in the AI Race
The timing couldn’t be more strategic. As AI infrastructure demand surges, memory bandwidth and power efficiency have become the biggest bottlenecks—not just raw compute. By securing HBM4 supply early and optimizing it for their own silicon, AMD gains flexibility while Samsung strengthens its position as a full-stack AI enabler.
For global operators and enterprises watching this space, the message is clear: choice and performance are no longer mutually exclusive. You can have AI-native networks that scale without ripping out hardware every upgrade cycle.
Looking Ahead
Whether you’re an operator planning your 5G-Advanced rollout, a business eyeing private networks for factories, or simply someone who wants faster, smarter connectivity—these two announcements matter. They show how collaboration between chip and network leaders can turn hype into deployable reality.
Keep an eye on commercial rollouts later this year. The first AI-RAN sites and MI455X-powered systems could arrive sooner than many expect. In the meantime, the infrastructure that powers tomorrow’s AI just got a major upgrade—quietly, efficiently, and right on schedule.
Sources
- Samsung Global Newsroom (March 2, 2026): https://news.samsung.com/global/samsung-and-amd-reinforce-strategic-collaboration-to-advance-ai-powered-network-innovations-for-commercial-deployments
- AMD Newsroom (March 18, 2026): https://www.amd.com/en/newsroom/press-releases/2026-3-18-samsung-and-amd-expand-strategic-collaboratio.html
- Samsung Networks Business Insights (March 2026)
Disclaimer: This article is based on official company announcements and public statements as of March 18, 2026. Technology roadmaps and deployment timelines may evolve.
The partnership between Samsung and AMD isn’t just another headline—it’s a concrete step toward AI that actually works at scale, from the network edge to the biggest data centers on Earth. If you’re in tech, this is one alliance worth watching closely.