Author: Marketing User

Security at Scale: Building the Foundations of the AI Era AI adoption is accelerating—but without the right security foundation, innovation can introduce new risks. To scale AI confidently, organizations need built-in protection across devices, data, and infrastructure. This white paper shows how a proactive, hardware-rooted approach to security helps enterprises protect sensitive data, reduce risk,…

The Modern IT Balancing Act: Optimizing Costs While Accelerating AI Innovation IT leaders today face a critical challenge: enabling rapid AI innovation while maintaining strict cost discipline. With rising infrastructure expenses, cloud pricing pressures, and growing energy demands, organizations need technologies that deliver both performance and efficiency. This white paper explores how AMD’s high-performance, cost-efficient…

Scaling enterprise AI with open software AI workloads are dynamic, distributed, and increasingly complex—and scaling them requires more than powerful hardware. A software-first approach gives enterprises the flexibility, orchestration, and interoperability needed to support evolving AI use cases. This white paper explores how open, composable software stacks help organizations boost performance, avoid vendor lock-in, and…

Maximizing AI Performance and Scalability in the Data Center AI workloads are placing unprecedented demands on enterprise infrastructure. From real-time data movement to heterogeneous compute and fluctuating resource needs, traditional architectures can’t keep up. This white paper explores how to build an AI-ready data center designed for high throughput, low latency, and intelligent scalability. Inside,…

오픈 소프트를 활용한 기업용 AI 확장 AI 워크로드는 동적이며 분산되어 있고, 점점 더 복잡해지고 있습니다. 이러한 워크로드를 확장하려면 강력한 하드웨어만으로는 부족합니다. 소프트웨어 중심 접근 방식은 기업에게 진화하는 AI 사용 사례를 지원하는 데 필요한 유연성, 오케스트레이션 및 상호 운용성을 제공합니다. 이 백서에서는 개방적이고 조합 가능한 소프트웨어 스택이 조직이 성능을 향상시키고, 벤더 종속성을 피하며, AI 인프라를 미래에…

데이터 센터에서 AI 성능 및 확장성 극대화 AI 워크로드는 기업 인프라에 전례 없는 부담을 주고 있습니다. 실시간 데이터 이동부터 이기종 컴퓨팅, 변동하는 리소스 수요에 이르기까지, 기존 아키텍처로는 이를 감당하기 어렵습니다. 이 백서에서는 높은 처리량, 낮은 지연 시간, 지능형 확장성을 위해 설계된 AI 지원 데이터 센터를 구축하는 방법을 살펴봅니다. 이 백서에서는 다음 내용을 확인할 수 있습니다:…

Déployer l’IA d’entreprise à grande échelle grâce aux logiciels libres Les charges de travail liées à l’IA sont dynamiques, distribuées et de plus en plus complexes ; leur mise à l’échelle nécessite bien plus qu’un simple matériel performant. Une approche axée sur les logiciels offre aux entreprises la flexibilité, la capacité d’orchestration et l’interopérabilité nécessaires…

Skalierung von KI in Unternehmen mit Open-Source-Software KI-Workloads sind dynamisch, verteilt und werden immer komplexer – und ihre Skalierung erfordert mehr als nur leistungsstarke Hardware. Ein „Software-First“-Ansatz bietet Unternehmen die Flexibilität, Orchestrierung und Interoperabilität, die sie benötigen, um sich weiterentwickelnde KI-Anwendungsfälle zu unterstützen. Dieses Whitepaper untersucht, wie offene, komponierbare Software-Stacks Unternehmen dabei helfen, die Leistung…

Optimiser les performances et l’évolutivité de l’IA dans le centre de données Les charges de travail liées à l’IA imposent des exigences sans précédent à l’infrastructure des entreprises. Du transfert de données en temps réel aux environnements de calcul hétérogènes, en passant par des besoins en ressources fluctuants, les architectures traditionnelles ne parviennent plus à…

Scaling enterprise AI with open software AI workloads are dynamic, distributed, and increasingly complex—and scaling them requires more than powerful hardware. A software-first approach gives enterprises the flexibility, orchestration, and interoperability needed to support evolving AI use cases. This white paper explores how open, composable software stacks help organizations boost performance, avoid vendor lock-in, and…