Category: Compute

To help service providers offer a seamless way to manage their customers’ backup repositories, Veeam introduced Cloud Repository, an off-site backup location in the cloud. Service providers can start providing Cloud Repository to customers by deploying a Veeam Cloud Connect (VCC) server, which supports multi-tenancy, encryption, and other features for service providers. This blog post provides an overview on how Veeam service providers can configure a BaaS platform in AWS and provide an off-site backup solution to protect any type of workload – virtual, physical, or cloud.

The growing demand for generative AI (GenAI) applications has led to a corresponding demand for compute resources that can run these workloads efficiently. In this post we share a step-by-step guide for optimizing GenAI inference workloads using AWS Graviton-based instances. We walk you through downloading Arcee AI SLMs, applying quantization techniques, and deploying models for efficient inference on AWS Graviton instances.

By Valeriy Leykin, Senior Product Manager – Dynatrace By Erick Leon, Senior Manager Global Tech Alliances – Dynatrace By Shashiraj Jeripotula, Principal Partner Solutions Architect – AWS Dynatrace In complex cloud environments, security findings are often siloed across build-time and runtime tooling, and spread across various environments. Therefore, obtaining a holistic view of your security […]

Learn how Temporal’s workflow engine, powers resilient applications, ensuring consistency and automatic recovery during system failures. In this post we will examine distributed system challenges and demonstrate how Temporal’s solution, on AWS, enables durable execution across organizations.

Life sciences manufacturers face challenges in maintaining consistent production operations while meeting strict regulatory requirements. Many customers need to run their Manufacturing Execution Systems (MES) on-premises, but still want to benefit operationally from using managed cloud services and maintaining a consistent software stack across their on-premise and cloud environments. AWS Outposts is a family of fully managed solutions delivering AWS infrastructure and AWS services into virtually any on- premises, colocation, or edge location for a consistent hybrid experience.

Learn how an AWS Advanced Technology Partner, Langfuse, offers an open-source LLM engineering platform that helps developers monitor, debug, analyze, and iterate on their LLM applications. Langfuse LLM engineering platform helps enterprises gain visibility into their LLM applications while seamlessly integrating with Amazon Bedrock and other popular AI frameworks.

The challenge for clinicians involves the secure management and analysis of patient data from various medical sensors and monitoring devices. Learn how Vivalink’s Biometrics Data Platform on AWS is transforming patient care through secure, scalable, and intelligent biometric data management.

Discover how integrating Tealium CDP with Amazon Connect transforms customer service by bringing real-time digital journey insights directly to your contact center. Understand a reference architecture for seamlessly incorporating customer behavior data from web, mobile, and connected devices into Amazon Connect. See how this integration empowers agents with contextual intelligence, reduces resolution times, and delivers hyper-personalized experiences that drive customer satisfaction.

Micronbrane Medical partnered with Basepair, an AWS Partner Network member, to develop PaRTI-Seq Analysis, a streamlined mNGS platform that overcomes traditional metagenomic sequencing challenges through user-friendly bioinformatics analysis. This white-labeled, secure, and affordable solution processes complex genomic data in just 30 minutes, allowing laboratory without advanced programming or computing skills to access advanced metagenomic analysis.

AWS and Intel are collaborating to make Large Language Models (LLMs) more accessible and cost-effective for enterprises by running Small Language Models (SLMs) directly on CPUs. By offering distilled versions of models like DeepSeek-R1, they enable efficient, cost-effective deployments that maintain high performance while running on standard hardware.