Welcome to above the clouds
AWS – Amazon Chime SDK Voice Connector now supports audio streaming G.711 A-Law encoded audio
Amazon Chime SDK Voice Connector audio streaming now supports G.711 A-law encoded audio. With this update, companies can stream audio to AWS from their phone systems using session initiation protocol recording (SIPREC) with G.711 A-law encoded audio. Read More for the details.
Azure – Azure Virtual Network Manager user-defined route (UDR) management now in public preview
UDR management in Azure Virtual Network Manager is now in public preview, enabling users to describe their desired routing behavior via configuration, simplifying the management of routing behaviors at scale. Read More for the details.
GCP – Sullivan County debuts generative AI chatbot, Saige, to answer constituent FAQs
Sullivan County, New York, is home to the Catskills Mountains. It’s a great place to live, play, and raise a family, and we have a robust group of visitors and tourists. We are also a fairly small county. Being on the cutting edge of technology isn’t typically something people associate with local governments, and I’m […]
GCP – Private networking patterns to Vertex AI workloads
As enterprise strategic use cases for AI adoption increases, secure and reliable connectivity is more crucial than ever. Get ready to explore several private connections options for your Vertex AI workloads! In this blog, we’ll dive into the existing options and reveal the services to get you connected on your AI journey. Connectivity matrix Vertex […]
GCP – Introducing Dataflux Dataset for Cloud Storage to accelerate PyTorch AI training
Introduction Machine learning (ML) models thrive on massive datasets, and fast data loading is key for cost-effective ML training. We recently launched a PyTorch Dataset abstraction, the Dataflux Dataset, for accelerating data loading from Google’s Cloud Storage. Dataflux provides up to 3.5x faster training times compared to fsspec, with small files. Today’s launch builds upon […]
GCP – RAG in production faster with Ray, LangChain and HuggingFace
We’re excited to announce the release of a quickstart solution and reference architecture for retrieval augmented generation (RAG) applications, designed to accelerate your journey to production. In this post, you’ll learn how to quickly deploy a complete RAG application on Google Kubernetes Engine (GKE), and Cloud SQL for PostgreSQL and pgvector, using Ray, LangChain, and […]
AWS – Knowledge Bases for Amazon Bedrock now supports MongoDB Atlas for vector storage
Knowledge Bases for Amazon Bedrock securely connects foundation models (FMs) to internal company data sources for Retrieval Augmented Generation (RAG), to deliver more relevant and accurate responses. Today, we are announcing vector storage support for MongoDB Atlas in Knowledge Bases (KB) for Amazon Bedrock. Read More for the details.
GCP – AI can be the catalyst to reignite your digital transformation
Be honest with me: Is your “digital transformation” stuck? Did you start in earnest a few years back, and now you’re sitting on half-finished projects, uneven outcomes, and a distracted staff? It happens. Maintaining momentum for multi-year efforts isn’t easy. Especially efforts that are increasingly broad and complex! We need a catalyst to focus our […]
GCP – Your modernization journey starts with the endpoint. A Forrester Consulting study shows why.
In today’s digital age, endpoints are a business requirement for collaborating with coworkers, engaging with customers, and building great products. However, with a rise in cyber attacks, increased scrutiny on cost, and pressure to innovate, IT departments require a new kind of endpoint that improves user experience, simplifies management, increases security and reduces costs—which are […]
AWS – Amazon EC2 simplifies visibility into your active AMIs
Starting today, you can check when your Amazon Machine Images (AMIs) were last used to launch EC2 instances by simply describing your AMIs, enabling you to efficiently filter and track your active AMIs. Read More for the details.