AMD
AI is no longer a moonshot—it’s essential for gaining a competitive edge. Generative AI’s transformative potential is undeniable: By one estimate, it’s expected to add more value to the global economy than the UK’s GDP. Harnessing its once-in-a-generation opportunity is a strategic imperative for enterprises to reshape operations across the spectrum, from customer support to engineering, and set their business up for forward-looking innovation.
However, many enterprises currently don’t have the tech foundation they need to capitalize on these opportunities. That’s where AMD comes in. Regardless of your organization’s current infrastructure, AMD is uniquely positioned to help enterprises with scalability, end-to-end compute, and security solutions that prepare your workforce for a more AI-centric future.
Enterprise AI’s unprecedented compute demands and ever-evolving product cycle call for a bottom-up, long-term initiative, one that unifies an organization’s complex environment of workloads, legacy systems, and disparate insight sources. The end goal is to enable an omnipresent infrastructure to power AI’s lifecycle, spanning model training and intelligent, user-facing experiences. But many enterprises’ AI ambitions are stalled by their own tech stack. What’s often missing is an end-to-end partner that can anchor and architect an enterprise’s AI journey.
AMD offers a comprehensive compute portfolio of versatile hardware and software that can scale with business growth.
Overcoming tech debt to build AI momentum
In AI, time-to-insight is critical for extracting meaningful value, but expanding it rapidly comes at an enormous cost for enterprises whose resources are tied up in existing IT infrastructure. And there’s no let-up: AI’s unquenchable need for computing power is projected to skyrocket, a McKinsey report found. In the next few years alone, data centers will need more than three times in capital expenditures as traditional IT applications.
AMD Data Center Solutions help enterprises overcome tech debt and repurpose their budget for a seamless transition to an AI-ready foundation. AMD EPYC processors enable up to a 7-to-1 server consolidation and consume up to 68% less power with up to 78% lower TCO, approximations from AMD internal research found. This reduction in power consumption and operational cost opens up floor space and financial budgets for additional tasks.
Other solutions in the AMD data center portfolio include AMD Instinct accelerators, the Pensando platform for networking, and ROCm, an open software stack that enables a wide range of GPU programming.
How a heterogeneous hardware pipeline unlocks returns across the enterprise
AI’s ability to deliver real intelligence across an enterprise hinges on the flexibility of a company’s underlying infrastructure. Successful AI deployments must adapt to corporate goals and workloads across a full range of environments and devices. If performance falters anywhere along that chain, the entire return on investment can quickly erode. An enterprise’s AI hardware backbone needs the horsepower to handle large-scale workloads, while remaining flexible enough to grow alongside evolving technologies and business demands in a reliable and cost-effective way.
The AMD portfolio is designed to underpin high-performance AI, no matter the workload demands. By adopting enterprise-grade systems backed by AMD Ryzen AI 7 PRO 350 processors, for example, organizations can save up to $53 million in employee time and upfront acquisition costs in the first year, compared to competitors.* Its GPUs, similarly, are tailored for a variety of performance levels and form factors, and its latest MI325X GPU accelerator sets new inference benchmarks, outperforming the competition by up to 40%.†
Weak networking, however, can limit even the most powerful AI architectures. AMD addresses this with scale-out DPU and NIC solutions that accelerate AI applications through high-speed data transfer and by offloading networking tasks from the CPU, boosting performance for critical workloads.
Beyond the data center, AI-enabled PCs are poised to transform how people work and interact with intelligent services. To support increasingly AI-driven applications, laptops built with either AMD Ryzen AI or Ryzen AI PRO processors have a dedicated neural processing engine that offloads tasks from the CPU and GPU. With performance exceeding 50 TOPS, these systems can run AI models locally, enabling on-device intelligence for sensitive data without compromising other professional workloads.
Flexible AI innovation, minus the barriers
As an enterprise’s AI advances, teams need the freedom to secure, manage, and program systems with tools that best align with internal best practices. AMD GPUs allow developers to leverage its ROCm open software platform, where developers can build without vendor lock-in. Since AMD contributes to interoperable standards like the Open Compute Project and Ultra Ethernet Consortium, organizations can be assured of future agility and access to the latest innovation.
These hardware and software options are enhanced with AMD PRO Technologies, a set of security features and manageability tools that ensure you realize the full value of your investment. AMD PRO Technologies ensure teams can implement AI and other technology innovations at their own pace, without IT departments having to fret about critical data exposure. AMD PRO Technologies equip business AI operations with multi-layered security and simplified management as they move into a new era of work.
AMD advances enterprise AI from experimentation to execution
To turn AI into a measurable and lasting advantage, enterprises will need a robust computing foundation. The AMD end-to-end portfolio lets them do just that: unify sprawling infrastructures from silicon to software, accelerate workloads, and future-proof operations to thrive in an intelligent economy.
Don’t let legacy servers and applications hold your organization back from inventing the future. Learn more about AMD end-to-end AI solutions today and give your leadership the hardware solutions they need to maximize potential in the face of a once-in-a-generation technological revolution.
Endnotes:
*Legal claim: KRKP-51
†Legal claim: MI350-049
