AMD Leads with Results in the AI Era

Enterprise leaders don’t need convincing that AI will be transformative. What these business leaders need are reliable, cost-effective ways to harness AI’s potential across a sprawling, shifting mix of workloads, systems, and goals—all while keeping their businesses running. Getting your AI foundation right today matters for your tomorrow.

An AI portfolio that has you covered

It starts by recognizing that AI doesn’t live in one place. It runs in the cloud, at the edge, and on your laptop. It spans foundational model training, inference, data prep, and user-facing experiences. To support that, AMD offers one of the industry’s broadest end-to-end AI compute portfolios, combining CPUs (AMD EPYC™, AMD Ryzen™ PRO, and AMD Ryzen™ AI PRO), GPUs (AMD Instinct™), adaptive SoCs (AMD Versal™), and DPUs (AMD Pensando™), all underpinned by a consistent, open software ecosystem (AMD ROCm™).

This range of solutions gives enterprises the flexibility to match the right infrastructure to the right job, whether training massive LLMs or running computer vision at the edge. Companies like Vietnam’s VinAI, for instance, which chose AMD to improve throughput while cutting costs in its computer vision products. “AMD has the most powerful processor on the market…this helps our customers save money while providing safety and compliance through the application of AI,” said Professor Minh Hoai Nguyen, Head of Smart Edge at VinAI. Read more.

Better performance, greater efficiency, and lower TCO for your AI foundation

AI workloads are inherently compute-intensive and evolving quickly. That means long-term infrastructure planning needs to focus not only on peak performance for a single workload, but on performance that scales efficiently and without draining budgets or energy resources.

Industry leaders trust AMD EPYC CPUs to deliver industry-leading core density and energy efficiency that help enterprises lower total cost of ownership (TCO) while increasing compute power. Taiwan’s ASE, for example, needed to enhance AI-driven automation in its smart factories. “AMD EPYC CPUs offered an increased core count and gave us more computing performance at a lower power consumption,” said Jekyll Chen, Director of IT Infrastructure. “That means we can increase our computing resources by 2.5 times.” Read more. 

Kakao Enterprise in South Korea reduced its TCO by 50% and server count by 60% while improving AI and cloud performance by 30% with AMD. “We had a mission to provide customized services for companies based on technologies such as AI, cloud, and search,” said Bruce Hwang, Team Leader at Kakao Enterprise. Read more.

Chunghwa Telecom’s IT Group faced similar goals, improving its ESG metrics while preparing for AI growth. “The high performance of AMD EPYC processors allows the company to use fewer servers to provide higher computing capability,” said Chung-Shuo Lin, Advisor at CHT ITG. “Traditionally, adopting AI technology means high power consumption… we needed to address how to achieve energy saving and carbon reduction while enhancing computing performance.” Read more.

Built for real-world deployment

AI doesn’t deliver value in a vacuum. It requires infrastructure that’s built to scale, connect, and evolve with real business needs. Customers are successfully turning their pilot programs into production-scale AI deployments with rapid payback and lasting value thanks to the comprehensive systems-level expertise of AMD.

Chile’s NLHPC is a prime example. Tasked with supporting the country’s scientific and industrial AI development, it needed maximum performance while adhering to an imperative to mitigate energy consumption. “The collaboration between the NLHPC and the AMD engineering team was the key to offering the best solution with more performance and the best energy efficiency,” said Executive Head Ginés Guerrero. “With AI today, you're seeing countries investing enormous amounts of money to increase computing capacity… and we are working tirelessly to ensure progress is made.” Read more.

Elsewhere, Finland’s LUMI supercomputer, powered by AMD EPYC CPUs and AMD Instinct GPUs, has unlocked new frontiers in model training. “It would have been inconceivable to do something on this scale on the hardware that was previously available to us,” said Sampo Pyysalo, Research Fellow at the University of Turku. “The computing capacity and the ability to scale further enables our customers to push the boundaries of Machine Learning/AI.” Read more.

Expertise and openness that multiply results

What empowers organizations in their AI journey isn’t just access to powerful hardware. It’s having a technology partner that actively supports and accelerates their success. From the start, AMD works side by side with customers and solution partners to design, validate, and optimize AI deployments tailored to their goals. This hands-on collaboration spans from proof-of-concept phases to full-scale rollout, ensuring alignment with performance needs and business outcomes.

Customers also benefit from a fully open software ecosystem. The AMD ROCm™ open software stack—used at scale by some of the world’s largest AI infrastructure providers—gives teams the flexibility to build, customize, and scale without vendor lock-in. And by contributing to open standards efforts like the Open Compute Project and Ultra Ethernet Consortium, AMD fosters a broad, interoperable ecosystem that gives customers freedom of choice, accelerated innovation, and long-term agility. 

A trusted AI partner for what’s next

For IT leaders tasked with scaling AI infrastructure, confidence in your technology partner is just as critical as raw performance. That’s why many organizations prioritize proven reliability, solutions that deliver consistent results, alignment with long-term strategies, and seamless integration across hybrid and cloud environments.

With a track record of roadmap stability and partnerships across all major hyperscalers, AMD enables enterprises to execute AI initiatives with confidence. Whether you’re building out scalable infrastructure, managing costs, or planning for future innovation, AMD helps IT teams stay ahead, supporting real-world AI outcomes with the flexibility and assurance modern organizations demand. Continue here to learn about moving your enterprise forward in the AI Era.