IBM & Red Hat on AWS

Current AI governance often relies on static evaluations of large language models (LLMs). However, when generative AI (GenAI) interacts with dynamic, structured data like organizational databases, static evaluations fall short. Continuous monitoring is essential to ensure that natural language inputs and GenAI outputs comply with regulations, avoid bias, and prevent errors or unintended consequences. The […]

With the growing adoption of large language models (LLMs) across applications like Natural Language Processing (NLP) and advanced Artificial Intelligence (AI) tasks, ensuring robust observability has become crucial for maintaining performance and reliability. Amazon Bedrock enables you to easily build and scale generative AI applications with foundation models, while IBM Instana (Instana) provides comprehensive observability […]

As organizations look to scale AI across their operations addressing issues of trust, transparency, and compliance is essential. While AI models offer significant opportunities, managing them effectively requires addressing challenges such as bias, fairness, security, and model efficiency. Additionally, key regulations like the EU AI Act, U.S. AI Bill of Rights, Singapore AI Governance Framework, […]

Customers looking to run virtual machines (VM’s), and container workloads on a single platform are flocking to OpenShift Virtualization on Red Hat OpenShift Service on AWS (ROSA). OpenShift Virtualization provides a modernization path that preserves your existing VM estate while simultaneously offering cloud-native management, enhancements, and scalability. This minimizes operational overhead by providing a consistent […]

  AWS customers can quickly deploy and scale compute resources based on their business needs, offering flexible purchase options for Red Hat Enterprise Linux (RHEL) and RHEL with High Availability (HA). The Pay-as-you-go model allows users to provision resources on demand, accommodating growth in computing needs without requiring long-term commitments or upfront costs. For those […]

We are often faced with innovative technologies that challenge the existing paradigms. OpenShift Virtualization, built on the upstream KubeVirt project, is one such technology. OpenShift Virtualization allows organizations to run traditional Virtual Machines (VMs) alongside containerized applications in a unified platform. This is particularly valuable for enterprises with legacy applications that need modernization without a […]

Organizations often have data residing in multiple sources across the enterprise and need a way to collate this data. Having a performant data lake on a trusted and well managed platform helps them gain better insight into their business and make informed decisions. Starburst Enterprise open data lake house solution deployed on Red Hat OpenShift […]

In today’s business environment, organizations need to exchange a vast number of documents, often with a large number of trading partners. There’s always a huge number of business documents to exchange, and they need to be handled at high speeds in multiple formats. As technologies keep evolving, so do the number of protocols and standards. […]

IBM has open-sourced its Granite Code Models, which are now available in Amazon SageMaker JumpStart, and can also be deployed in Amazon Bedrock using Custom Model Import. These models provide developers and data scientists with generative AI capabilities for code generation. IBM Granite AI foundation models are designed to be cost-efficient and enterprise-ready. These models […]

Amazon Web Services customers who are looking to deploy and use IBM Cloud Pak for Data (CP4D) on the AWS Cloud, can use Red Hat OpenShift Service on AWS (ROSA). ROSA is a fully managed service, jointly supported by AWS and Red Hat. It is managed by Red Hat Site Reliability Engineers and provides a […]