Cloud Storage Providers

NoSQL document-oriented database provider Couchbase on Thursday said that it was working to add support for vector capabilities to its database offerings, including  its Capella managed database-as-a-service (DBaaS).The vector capabilities will include similarity search and retrieval-augmented generation (RAG), the company said, adding that the addition of these capabilities will also enhance the performance of the database as all search patterns can be supported within a single index to lower response latency.To read this article in full, please click here

Last week MongoDB CEO Dev Ittycheria likened present-day AI to the “dial-up phase of the internet era.” He’s not wrong. I recently suggested we’re in the “awkward toddler phase” of generative AI (genAI). It’s full of excitement (“her first step!”), but straightforward tasks are clumsy, like basic math. Yet in some areas, the future of generative AI is happening right now. One area is coding assistants such as Amazon CodeWhisperer.To read this article in full, please click here

While graphics processing units (GPUs) once resided exclusively in the domains of graphic-intensive games and video streaming, GPUs are now equally associated with and machine learning (ML). Their ability to perform multiple, simultaneous computations that distribute tasks—significantly speeding up ML workload processing—makes GPUs ideal for powering artificial intelligence (AI) applications. The single instruction multiple data (SIMD) stream architecture in a GPU enables data scientists to break down complex tasks into multiple small units. As such, enterprises pursuing AI and ML initiatives are now more likely to choose GPUs instead of central processing units (CPUs) to rapidly analyze large data sets in algorithmically complex and hardware-intensive machine learning workloads. This is especially true for large language models (LLMs) and the generative AI applications built on LLMs.To read this article in full, please click here

The internet of things (IoT) has transformed the way we interact with the world, connecting a myriad of devices to the internet, from smart thermostats in our homes to industrial sensors in manufacturing plants. A significant portion of these IoT devices relies on the Linux operating system due to its flexibility, robustness, and open-source nature.Deploying software to Linux-based devices, at scale, is a complex and critical process that requires planning, well-thought-out processes, and adherence to best practices to ensure the stability, security, and manageability of the IoT fleet. In this article, we’ll explore some best practices for deploying software on large fleets of Linux-based IoT devices.To read this article in full, please click here

JetBrains has launched a public beta version of TeamCity Pipelines, a cloud-based CI/CD (continuous integration/continuous delivery) service for small and medium-sized software engineering teams.Unveiled March 18, TeamCity Pipelines is intended to enable small development teams to automate the process of integrating code changes, testing them, and delivering an application. JetBrains said the goal was to provide an intuitive platform for running devops pipelines with minimum complexity. The combination of a user-friendly UX with intelligence and optimization features for small teams minimize disruptions for developers, the company said.To read this article in full, please click here