A compromised account and a stolen device present fundamentally different security risks. While identity protection remains a critical focus for organizations, physical device loss can expose sensitive data through attack paths that traditional controls may not address. As endpoint security strategies evolve, memory-level protections are becoming an increasingly important consideration in reducing risk and strengthening resilience. J R Balaji, Head of Software Product Management, Client BU at AMD, explores why hardware-based security continues to play a vital role in protecting modern endpoints.
AMD Enterprise
Semiconductor Manufacturing
Powering enterprise AI with protected, scalable technologies designed for business growth.
About us
AMD helps enterprises accelerate AI transformation with trusted, high-performance, and adaptive computing solutions. Our technologies are built for IT leaders who need protected, efficient, and future-ready systems that scale across the enterprise. With AMD PRO technologies, businesses gain PCs designed for the most demanding use cases. From mainstream laptops to premium workstations, our systems improve user experience, strengthen security, and simplify device management. Beyond endpoints, AMD delivers enterprise-ready infrastructure that bridges client to cloud. We provide open, scalable platforms that reduce the risk of vendor lock-in, support long-term ROI, and speed AI adoption across organizations. Follow AMD Enterprise on LinkedIn for insights, IT decision-maker perspectives, and practical resources on how AMD enables AI outcomes that drive business growth today and into the future.
- Website
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https://www.amd.com/en/solutions/ai/ai-ready-enterprise.html
External link for AMD Enterprise
- Industry
- Semiconductor Manufacturing
- Company size
- 10,001+ employees
Updates
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After training, an AI model is deployed in production, where its ability to analyze and generate insights is put to the test. It must deliver insights in real time, continuously, and at scale. That’s where latency, availability, and efficiency start to matter just as much as raw performance. So how do you balance speed, cost, and reliability when inference never stops? Read on to see what it takes to turn AI models into real business value.
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The best visual effects are the ones audiences never notice, because the technology disappears and the story takes center stage. For studios like Wylie Co. VFX, delivering seamless, photoreal VFX on demanding production schedules requires infrastructure built for both creative agility and technical performance. See how Wylie Co. VFX. uses AMD Ryzen Threadripper PRO processors to accelerate complex rendering, simulations, and AI-driven workflows, helping artists spend less time waiting and more time creating.
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Modern work is reshaping enterprise computing. As organizations balance rising costs, evolving workloads, and employee expectations, many are rethinking legacy endpoint strategies. Hitachi took a global approach — standardizing on Device-as-a-Service and AMD Ryzen PRO processors to help modernize employee computing at scale across 85,000 systems. The result: a more consistent user experience, greater operational efficiency, and an IT strategy built for the future of work.
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AI PCs are quickly moving from emerging technology to strategic infrastructure. Forrester reports that 31% of enterprise PCs are already AI-enabled, and a number projected to grow to 50% by 2027. For IT leaders, the conversation is no longer about whether AI will shape the future of work, but how to build a device strategy that can scale with evolving workloads, user expectations, and business priorities. 💡 See how AMD is helping organizations approach the AI PC transition with a long-term, enterprise-ready strategy designed for performance, flexibility, and future readiness.
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Training AI models isn’t just complex. It’s incredibly resource-intensive. As models scale, so do the demands on infrastructure. What starts as a single-GPU effort can quickly evolve into massive, always-on clusters running around the clock that push compute, data access, and performance to their limits. Take a closer look at what’s behind the growing demands of AI model training, including where bottlenecks can begin and how they can be overcome to maximize your compute power.
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What if AI could help you remember the person you met three conferences ago? 🤯 AI-powered workflows can help office workers and highly mobile employees like road warriors find information faster and stay productive across busy schedules and constant travel. Hear more from Rahul Tikoo, SVP & GM, Client Business Unit and Ian Wineberg, Sr Manager, Technical Marketing at AMD.
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IT teams have to get it right every time. Adversaries only need to get it right once. See why manageability, stability, and security are foundational to modern endpoint strategies, and how AMD PRO is designed to help simplify operations at scale, from J R Balaji, Head of Software Product Management, Client BU at AMD.
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Modern workplaces demand more from enterprise computing: better user experiences, greater flexibility, and infrastructure that can scale globally. Hitachi has responded by rethinking employee computing across 47 countries, standardizing on 85,000 Lenovo systems powered by AMD Ryzen and Ryzen PRO processors. The result: an elevated modern workplace experience designed to support evolving workforce demands while driving greater operational efficiency at scale.