Artificial intelligence has evolved from an experimental technology into a critical competitive advantage for modern enterprises. The transformative power of generative AI is reshaping the global economy, with projections suggesting it could add value exceeding the entire GDP of the United Kingdom. For businesses looking to maintain their competitive edge, harnessing AI’s potential across operations—from customer support to engineering—is no longer optional but essential.
Yet despite AI’s promise, many organizations lack the technological foundation necessary to capitalize on these opportunities. AMD addresses this challenge by providing comprehensive solutions spanning scalability, end-to-end computing infrastructure, and robust security—all designed to prepare enterprises for an AI-centric future.
The Infrastructure Challenge Facing Enterprise AI
Enterprise AI demands unprecedented computing power and operates within a constantly evolving product cycle. Success requires a bottom-up, long-term strategy that unifies complex environments including legacy systems, diverse workloads, and disparate data sources. The objective is creating an omnipresent infrastructure capable of powering AI’s entire lifecycle, from initial model training through intelligent, user-facing applications.
Unfortunately, many organizations find their AI ambitions stalled by inadequate technology stacks. What’s frequently missing is an end-to-end partner capable of architecting and anchoring the entire AI journey. AMD fills this gap with a comprehensive compute portfolio featuring versatile hardware and software solutions that scale alongside business growth.
Eliminating Technical Debt to Accelerate AI Adoption
In AI deployment, time-to-insight is critical for extracting meaningful value. However, rapid expansion comes at enormous cost for enterprises whose resources remain tied to existing IT infrastructure. The challenge intensifies as AI’s computing requirements continue skyrocketing—data centers will require more than triple the capital expenditures of traditional IT applications in coming years.
AMD Data Center Solutions help organizations overcome technical debt and redirect budgets toward seamless AI-ready infrastructure transitions. AMD EPYC processors enable up to 7-to-1 server consolidation while consuming up to 68% less power, with total cost of ownership reduced by up to 78%. This dramatic reduction in power consumption and operational costs frees both physical space and financial resources for additional initiatives.
The AMD data center portfolio also includes AMD Instinct accelerators, the Pensando networking platform, and ROCm—an open software stack enabling extensive GPU programming capabilities.
Heterogeneous Hardware Architecture Delivers Enterprise-Wide Returns
AI’s ability to deliver genuine intelligence across an organization depends on infrastructure flexibility. Successful deployments must adapt to corporate objectives and workloads across diverse environments and devices. When performance falters anywhere in this chain, the entire return on investment quickly erodes.
The AMD portfolio is engineered to support high-performance AI regardless of workload demands. Organizations adopting enterprise-grade systems powered by AMD Ryzen AI 7 PRO 350 processors can save up to $53 million in employee time and acquisition costs during the first year compared to competitors. AMD’s GPUs are tailored for various performance levels and form factors, with the latest MI325X GPU accelerator setting new inference benchmarks—outperforming competitors by up to 40%.
Even powerful AI architectures face limitations from weak networking. AMD addresses this with scale-out DPU and NIC solutions that accelerate AI applications through high-speed data transfer while offloading networking tasks from the CPU, boosting performance for critical workloads.
AI-Enabled Personal Computing
Beyond data centers, AI-enabled PCs are transforming workplace productivity and intelligent service interactions. Laptops built with AMD Ryzen AI or Ryzen AI PRO processors feature dedicated neural processing engines that offload tasks from CPU and GPU. With performance exceeding 50 TOPS, these systems run AI models locally, enabling on-device intelligence for sensitive data without compromising professional workloads.
Flexible Innovation Without Vendor Lock-In
As enterprise AI capabilities mature, teams require freedom to secure, manage, and program systems using tools aligned with internal best practices. AMD GPUs enable developers to leverage the ROCm open software platform, facilitating development without vendor lock-in. AMD’s contributions to interoperable standards like the Open Compute Project and Ultra Ethernet Consortium ensure future agility and access to cutting-edge innovation.
These hardware and software options are enhanced through AMD PRO Technologies—a suite of security features and manageability tools ensuring full investment value realization. AMD PRO Technologies provide business AI operations with multi-layered security and simplified management as organizations transition into new work paradigms, allowing teams to implement AI innovations at their own pace without exposing critical data.
From AI Experimentation to Execution
Transforming AI into measurable, lasting advantage requires a robust computing foundation. The AMD end-to-end portfolio enables enterprises to unify sprawling infrastructures from silicon to software, accelerate workloads, and future-proof operations for success in an intelligent economy.
Legacy servers and applications shouldn’t constrain your organization’s innovative potential. AMD’s comprehensive AI solutions provide leadership with the hardware infrastructure needed to maximize opportunities presented by this once-in-a-generation technological revolution.
