AWS for Industries
Category: AWS PrivateLink
Harnessing the power of pLTE and AWS Cloud to optimize AMI 2.0 outcomes
AMI 2.0 has gained traction since the early 2020s, promising real-time insights, enhanced grid management, and demand response. By 2029, U.S. smart meter installations will reach 182.9 million, covering 94% of customers. However, AMI 2.0 isn’t just about meters, it demands high-bandwidth communication and scalable storage. A single meter now generates 1,440 data points daily, […]
Databricks modernizes healthcare data on AWS
This post is co-written with Rebecca Nissan, Sr. Delivery Solutions Engineer, Healthcare and Life Sciences, Field Engineering, Databricks. In today’s healthcare data-centric landscape, organizations face challenges (such as disparate data silos) across their electronic health records (EHRs), medical imaging, and other on-premises data warehouses. Healthcare data is growing at such a rapid rate that one […]
AWS Mainframe Modernization: transforming telco from legacy constraints to digital innovation
Legacy mainframe systems remain the backbone of many telecommunications (telco) operators, despite rapid technological evolution. These systems, combining proprietary and vendor-developed applications, remain critical for handling bulk data processing and large-scale transactions. These systems typically handle critical Business Support Systems (BSS) and Operational Support Systems (OSS) workloads, such as the highly transactional processes of rating, […]
Simplifying Medical Imaging AI Deployments with NVIDIA NIMs and AWS Services
Most practicing clinicians are not yet fully benefitting from the efficiency and diagnostic advances that medical imaging artificial intelligence (AI) promises. Additionally, many AI scientists and engineers struggle with the practical aspects of incorporating AI inferences in clinical workflows, and providing a consistent end-user experience when scaling to support millions of studies per year. Still, […]
Serverless self-service portal for running engineering applications with on-premises software licensing
Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]
How The New York Stock Exchange built its real-time market data platform on AWS
This blog discusses how The New York Stock Exchange Group expanded its cloud-based market data product offerings by launching NYSE Cloud Streaming. NYSE Cloud Streaming is a real-time market data streaming solution that lands high-quality market data into AWS with sub-hundred milliseconds latency in a Kafka-compatible stream. This solution makes it easier for customers to […]
How Yaala Labs Built a Cloud Native Exchange Platform on AWS
In this blog we discuss why Yaala Labs built their matching engine solution, P8, on AWS and explore the architectural decisions they made to achieve their performance and business objectives. We also share some of the benefits that Yaala Labs and their customers gained by running on AWS. Who is Yaala Labs Yaala Labs was […]
Flexible EDA licensing in AWS with Synopsys Cloud BYOC with FlexEDA
Electronic Design Automation (EDA) tools are critical for designing silicon chips. In the cloud, pay-per-use mechanisms are the norm, but this traditionally isn’t the case for EDA licensing which can limit organizations’ ability to scale EDA on AWS. Synopsys Cloud Bring Your Own Cloud (BYOC) with FlexEDA is a groundbreaking solution that addresses this need. […]
Find the Next Blockbuster with NVIDIA BioNeMo Framework on Amazon SageMaker
The NVIDIA BioNeMo framework accelerates drug discovery by giving researchers access to powerful foundation models (FMs) for biology. By integrating BioNeMo with Amazon SageMaker, researchers can develop cutting-edge AI solutions with the scalability, data security, and operational excellence they expect from AWS. Introduction Drug R&D is a long, costly, and risky process. On average, it […]
Recommended Patterns for onboarding SaaS applications – Part 1
Connecting all the right software as a service (SaaS) providers using well-established private, secure and resilient integration patterns can seem overwhelming. The SaaS model of deployment can help organizations reduce undifferentiated heavy lifting to manage the vendor’s application, software tools and hardware infrastructure—resulting in an improvement in operational efficiency and business agility. We, at Amazon […]