Tag: NVIDIA

With the ability to automate tasks, enhance productivity, and enable hyper-personalized customer experiences, businesses are seeking specialized expertise to build a successful generative AI strategy. To support this need, we’re excited to announce the AWS Generative AI Competency—an AWS Specialization that helps AWS customers more quickly adopt generative AI solutions and strategically position themselves for the future.

At AWS, we believe our partners are well-positioned to support specialized customer needs, either through providing consultative support or specialty business applications with integrated generative AI capabilities. This is why we are introducing the Generative AI Center of Excellence (CoE) for AWS Partners. It’s a digital experience open to all partners within the AWS Partner Network (APN). Learn how the CoE delivers optimized learning paths to implement generative AI solutions for customers.

Federated learning (FL) addresses the need of preserving privacy while having access to large datasets for machine learning model training. The NVIDIA FLARE (which stands for Federated Learning Application Runtime Environment) platform provides an open-source Python SDK for collaborative computation and offers privacy-preserving FL workflows at scale. NVIDIA is an AWS Competency Partner that has pioneered accelerated computing to tackle challenges in AI and computer graphics.

Deploying machine learning (ML) models as a packaged container with hardware-optimized acceleration, without compromising accuracy and while being financially feasible, can be challenging. As machine learning models become the brains of modern applications, developers need a simpler way to deploy trained ML models to live endpoints for inference. This post explores how a ML engineer can take a trained model, optimize and containerize the model using OctoML CLI, and deploy it to Amazon EKS.

We are excited to highlight 125 AWS Partners that received new designations in November for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

AWS is committed to supporting the global energy industry in safely meeting the energy demands of the world today, while accelerating the industry’s transition to a more balanced and sustainable energy future. The new AWS Energy Competency Program differentiates highly specialized partners who have demonstrated technical expertise and repeat customer success. These AWS Partners enable energy producers to build and operate assets efficiently and safely, while working to transition to a lower carbon world.

We are excited to highlight 74 AWS Partners that received new designations in February for our global AWS Competency, AWS Managed Service Provider (MSP), AWS Service Delivery, and AWS Service Ready programs. These designations span workload, solution, and industry, and help AWS customers identify top AWS Partners that can deliver on core business objectives. AWS Partners are focused on your success, helping customers take full advantage of the business benefits AWS has to offer.

To help customers run the most compute-intensive workloads across industry verticals, we are excited to introduce the new AWS High Performance Computing (HPC) Competency featuring AWS Partners who are focused on the important aspects of HPC in the cloud, including security, cost management, and performance. These trusted AWS Partners are uniquely positioned to help customers innovate faster and become more agile and flexible while controlling costs.

Scientific visualization is critical to understand complex phenomena modeled using high performance computing simulations. However, it has been challenging to do this effectively due to the inability to visualize, explore, and analyze large volumes of data and lack of collaborative workflow solutions. NVIDIA IndeX on AWS addresses each of these problems by providing a scientific visualization solution for massive datasets, thus opening the doors for discovery.