Welcome to above the clouds
AWS – Amazon Bedrock Marketplace brings over 100 models to Amazon Bedrock
Amazon Bedrock Marketplace provides generative AI developers access to over 100 publicly available and proprietary foundation models (FMs), in addition to Amazon Bedrock’s industry-leading, serverless models. Customers deploy these models onto SageMaker endpoints where they can select their desired number of instances and instance types. Amazon Bedrock Marketplace models can be accessed through Bedrock’s unified […]
AWS – Amazon Bedrock Knowledge Bases now supports structured data retrieval
Amazon Bedrock Knowledge Bases now supports natural language querying to retrieve structured data from your data sources. With this launch, Bedrock Knowledge Bases offers an end-to-end managed workflow for customers to build custom generative AI applications that can access and incorporate contextual information from a variety of structured and unstructured data sources. Using advanced natural […]
AWS – Amazon SageMaker HyperPod now provides flexible training plans
Amazon SageMaker HyperPod announces flexible training plans, a new capability that allows you to train generative AI models within your timelines and budgets. Gain predictable model training timelines and run training workloads within your budget requirements, while continuing to benefit from features of SageMaker HyperPod such as resiliency, performance-optimized distributed training, and enhanced observability and monitoring. […]
AWS – Task governance is now generally available for Amazon SageMaker HyperPod
Amazon SageMaker HyperPod now provides you with centralized governance across all generative AI development tasks, such as training and inference. You have full visibility and control over compute resource allocation, ensuring the most critical tasks are prioritized and maximizing compute resource utilization, reducing model development costs by up to 40%. With HyperPod task governance, administrators […]
AWS – AWS announces Amazon SageMaker Partner AI Apps
Today Amazon Web Services, Inc. (AWS) announced the general availability of Amazon SageMaker partner AI apps, a new capability that enables customers to easily discover, deploy, and use best-in-class machine learning (ML) and generative AI (GenAI) development applications from leading app providers privately and securely, all without leaving Amazon SageMaker AI so they can develop […]
GCP – Build agentic RAG on Google Cloud databases with LlamaIndex
AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases. This empowers LLMs to generate more informed and contextually relevant responses. Agentic RAG represents a significant leap forward, […]
GCP – (QR) Coding My Way Out of Here: C2 in Browser Isolation Environments
Written by: Thibault Van Geluwe de Berlaere Executive Summary Browser isolation is a security technology where web browsing activity is separated from the user’s local device by running the browser in a secure environment, such as a cloud server or a virtual machine, and then streaming the visual content to the user’s device. Browser isolation […]
AWS – Amazon SageMaker Lakehouse integrated access controls now available in Amazon Athena federated queries
Amazon SageMaker now supports connectivity, discovery, querying, and enforcing fine-grained data access controls on federated sources when querying data with Amazon Athena. Athena is a query service that makes it simple to analyze your data lake and federated data sources such as Amazon Redshift, Amazon DynamoDB, or Snowflake using SQL without extract, transform, and load […]
AWS – Amazon SageMaker Lakehouse and Amazon Redshift support for zero-ETL integrations from eight applications
Amazon SageMaker Lakehouse and Amazon Redshift now support zero-ETL integrations from applications, automating the extraction and loading of data from eight applications, including Salesforce, SAP, ServiceNow, and Zendesk. As an open, unified, and secure lakehouse for your analytics and AI initiatives, Amazon SageMaker Lakehouse enhances these integrations to streamline your data management processes. These zero-ETL integrations are […]
AWS – Introducing AWS Glue 5.0
Today, we are excited to announce the general availability of AWS Glue 5.0. With AWS Glue 5.0, you get improved performance, enhanced security, support for Amazon Sagemaker Unified Studio and Sagemaker Lakehouse, and more. AWS Glue 5.0 enables you to develop, run, and scale your data integration workloads and get insights faster. AWS Glue is […]