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Unveiling the True Potential of Cloud AI With AWS
This article explores the advantages of partnering with WWT to utilize AWS AI services. It highlights key factors—from significant efficiencies to important safeguards, and beyond‒to guide you on a rapid, cost-effective, and efficient path to a successful AI implementation.
Navigating the Waters of GenAI with WWT & AWS
As an experienced guide, WWT can help enterprise organizations at every level of GenAI aptitude. Read on for use cases from WWT and AWS that showcase how to ride the wave of AI innovation toward rapid ROI and scalability.
Partner POV | How generative AI and data are redefining retail experiences
The retail and consumer goods landscape is shifting seismically, with digital transformation at its core. Retailers and consumer brands are at various stages of this digital journey, each seeking tailored solutions to propel their businesses forward.
Deploying generative AI applications with NVIDIA NIMs on Amazon EKS
Amazon EKS is a managed service for running Kubernetes workloads on AWS. We can use EKS to orchestrate NVIDIA NIM (plural: NIMs) pods across multiple nodes, because it automatically manages the availability and scalability of the Kubernetes control plane nodes responsible for scheduling containers, managing application availability, storing cluster data, and other key tasks.
Partner POV | The generative AI advantage
A leader's guide to using your data as a differentiator
Partner POV | Create a generative AI-based application builder assistant using Amazon Bedrock Agents
In this post, we set up an agent using Amazon Bedrock Agents to act as a software application builder assistant.
Partner POV | Gain operational insights for NVIDIA GPU workloads using Amazon CloudWatch Container Insights
As machine learning models grow more advanced, they require extensive computing power to train efficiently. Many organizations are turning to GPU-accelerated Kubernetes clusters for both model training and online inference. However, properly monitoring GPU usage is critical for machine learning engineers and cluster administrators to understand model performance and to optimize infrastructure utilization.
Partner POV | Your AI is Only as Good as Your Data
Generative AI is undoubtedly one of the most transformative and disruptive technologies of our time. These powerful models can generate human-like text, images, code, and more in ways that seem almost miraculous. However, behind the awe-inspiring outputs lies an even more incredible foundation – the massive datasets and robust data operations required to make generative AI possible.