Executive Summary
As enterprises increasingly recognize the transformative power of Artificial Intelligence (AI) and Generative AI (GenAI), they are eager to harness these technologies to drive innovation, enhance product quality, streamline operations, and elevate customer engagement. However, the path to successful AI implementation is fraught with challenges, including managing vast datasets and ensuring effective data storage, analysis, and protection throughout its lifecycle. The complexity intensifies with GenAI, necessitating robust solutions to realize its full potential.
Lenovo is here to help organizations overcome these obstacles. We provide a comprehensive suite of best-practice services and an AI-optimized infrastructure that includes servers, storage, workstations, mobile devices, and software—all designed to support your AI journey from the edge to the data center and the cloud. Our advanced Think System and Think Edge servers, powered by NVIDIA graphics processing units (GPUs), are specifically engineered to accelerate your AI and GenAI initiatives.
In this whitepaper, we will explore how Lenovo and NVIDIA collaborate to offer optimal architectures that empower enterprises across various industries. By leveraging insights from our extensive customer engagements, we provide valuable guidance on selecting performance-optimized configurations tailored to your unique AI and GenAI use cases. As we continue to invest in strategic partnerships, including our alliance with NVIDIA, we are dedicated to accelerating AI deployment and helping you embark on your transformative journey today.
As enterprises increasingly recognize the transformative power of Artificial Intelligence (AI) and Generative AI (GenAI), they are eager to harness these technologies to drive innovation, enhance product quality, streamline operations, and elevate customer engagement. However, the path to successful AI implementation is fraught with challenges, including managing vast datasets and ensuring effective data storage, analysis, and protection throughout its lifecycle. The complexity intensifies with GenAI, necessitating robust solutions to realize its full potential.
Lenovo is here to help organizations overcome these obstacles. We provide a comprehensive suite of best-practice services and an AI-optimized infrastructure that includes servers, storage, workstations, mobile devices, and software—all designed to support your AI journey from the edge to the data center and the cloud. Our advanced Think System and Think Edge servers, powered by NVIDIA graphics processing units (GPUs), are specifically engineered to accelerate your AI and GenAI initiatives.
In this whitepaper, we will explore how Lenovo and NVIDIA collaborate to offer optimal architectures that empower enterprises across various industries. By leveraging insights from our extensive customer engagements, we provide valuable guidance on selecting performance-optimized configurations tailored to your unique AI and GenAI use cases. As we continue to invest in strategic partnerships, including our alliance with NVIDIA, we are dedicated to accelerating AI deployment and helping you embark on your transformative journey today.
The Four Stages of AI and GenAI Deployment
With Lenovo's AI-optimized infrastructure, including Think System and Think Edge servers powered by NVIDIA GPUs, you can confidently tackle these challenges. Our solutions are designed to enhance productivity, improve time-to-market, and drive innovation while ensuring better energy efficiency and a lower total cost of ownership.
Ready to elevate your enterprise with AI?
Contact us today to learn more!
- Data Management
Prepare and organize the data necessary for building your Deep Learning (DL) and GenAI models. Effective data management is the foundation of any successful AI initiative. - Model Learning (Training)
Define, select, and train your DL and GenAI models. This phase is critical for ensuring that your models can perform effectively and meet your business needs. - Model Verification (Training)
Validate that your models meet specific functional and performance requirements. Rigorous verification ensures reliability and accuracy in real-world applications. - Model Deployment (Inference)
Integrate the trained models into your IT infrastructure. This stage involves running, maintaining, and updating the models as necessary to adapt to changing demands.
With Lenovo's AI-optimized infrastructure, including Think System and Think Edge servers powered by NVIDIA GPUs, you can confidently tackle these challenges. Our solutions are designed to enhance productivity, improve time-to-market, and drive innovation while ensuring better energy efficiency and a lower total cost of ownership.
Ready to elevate your enterprise with AI?
Contact us today to learn more!
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