Terraform 1.8 is now generally available for download and immediate use in Terraform Cloud. The release introduces two new features aimed at enhancing the extensibility and flexibility of Terraform: provider-defined functions and refactoring capabilities spanning resource types.
Google introduced Gemini Cloud Assist at the Google Cloud Next '24 conference, a new generative AI tool that automates tasks and troubleshoots applications on the Google Cloud Platform (GCP). Integrated with publish and subscribe functions, it allows DevOps teams to deploy AI prompts, automating tasks that once demanded script development. It can also create architecture configurations from deployed code.
Grafana 11 introduces new features such as Scenes-powered dashboards, subfolders for dashboard organization, improved PDF exports, better alert rule details, and user-based authentication in Azure Monitor data source for an enhanced data visualization and monitoring experience.
This tutorial provides a comprehensive guide on training the Meta Llama-2-7b model on Amazon Elastic Kubernetes Service (EKS) using AWS Trainium, Neuronx-Nemo-Megatron, and the MPI Operator.
This tutorial demonstrates the process of converting Microsoft Azure-based Terraform templates to AWS using Amazon Bedrock, a fully managed service for creating generative AI applications. Amazon Bedrock provides various foundational models from prominent AI firms through a unified API. Being serverless, it allows for easy customization of models with personal data and seamless integration into environments without the hassle of managing infrastructure.
Meta has unveiled its next-generation Meta Training and Inference Accelerator (MTIA) chip designed to improve AI workloads. The chip provides better user experiences and new features by maximizing hardware utilization and supporting high-performance kernels.
Grafana Loki 3.0, now generally available, introduces enhanced performance, new features like query acceleration with Bloom filters and native OpenTelemetry support, and improvements to the Loki documentation.
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