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Articles from stack8s on sovereign AI, hybrid cloud architecture, and practical GPU economics.

30 May 20233 min read

Cloud Provisioning

As organizations increasingly embrace cloud computing, unlocking the full potential of the cloud operating model becomes crucial. Provisioning, the process of allocating and configuring resources in the cloud, plays a vital role in achieving efficient and scalable operations. In this blog post, we'll explore the key aspects of provisioning in the cloud operating model and how it empowers organizations to optimize resource allocation, improve agility, and drive cost savings. The Traditional Pro

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23 May 20233 min read

Top Open Source Databases for Timeseries Analytics

Timeseries data, with its unique characteristics and requirements, demands specialized databases that can efficiently handle high volumes of timestamped data and perform complex analytics. In recent years, the cloud-native approach has gained significant popularity, enabling organizations to leverage the scalability, flexibility, and agility of cloud environments. If you're looking for open source cloud-native databases for timeseries analytics, here are the top five options to consider: 1. In

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14 May 20233 min read

What is MLOps and our selection of tools you can deploy in stack8s.ai

Machine Learning Operations (MLOps) is a set of practices and tools that enable organizations to manage and deploy machine learning models at scale. It brings together the best practices from DevOps, Data Engineering, and Machine Learning to create a streamlined process for building, deploying, and maintaining machine learning models. MLOps ensures that models are deployed reliably and efficiently, with the ability to monitor and manage performance in real-time. With the increasing demand for M

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11 May 20232 min read

What is CI/CD and intro to Drone.io

Continuous Integration and Continuous Delivery (CI/CD) is a set of practices that help development teams deliver code changes more efficiently and reliably. With CI/CD, teams can automate the building, testing, and deployment of software applications. This reduces the risk of errors and makes it easier to iterate and improve upon code. Drone is a popular CI/CD tool that makes it easy to automate the software development process. It integrates with a variety of version control systems, including

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10 May 20235 min read

Considerations when choosing between Serverless Functions and APIs for Applications

In recent years, serverless architecture has gained significant popularity, and it's not difficult to see why. Serverless functions offer an efficient and cost-effective way of running code without having to manage servers, making it an attractive option for many businesses. However, when it comes to choosing between serverless functions and APIs, it can be challenging to understand which is best suited to your needs. In this article, we will explore the differences between serverless functions

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06 May 20231 min read

How to Use NVIDIA GPUs for Kubernetes Deployments

To use NVIDIA GPUs for Kubernetes pods, follow these steps: 1. Install the NVIDIA Container Toolkit on your Kubernetes nodes. This toolkit provides a set of NVIDIA drivers, libraries, and tools that enable GPU support in containers. 2. Configure your Kubernetes cluster to use the NVIDIA device plugin. This plugin allows Kubernetes to discover and use the GPUs available on each node. 3. Create a Kubernetes pod that specifies the GPU re

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05 May 20233 min read

Top 5 NoSQL Databases to use for Big Data Analytics on Kubernetes

There are numerous NoSQL databases available for use with big data on Kubernetes, and each has its own set of pros and cons. However, here are five popular NoSQL databases and a comparison of their advantages and disadvantages: Apache Cassandra Apache Cassandra is a distributed NoSQL database that is designed to handle large volumes of data across multiple nodes. Some of the pros and cons of using Apache Cassandra for big data on Kubernetes include: Pros: * High availability and fault tole

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05 May 20232 min read

Sound Analytics on the Edge for Predictive Maintenance in Critical Infrastructure

In today's world, the efficient and uninterrupted operation of critical infrastructure, such as power plants, transportation systems, and manufacturing facilities, is essential for maintaining the smooth functioning of modern society. However, these systems often face challenges such as aging equipment, high maintenance costs, and the risk of unplanned downtime. One approach to mitigating these challenges is predictive maintenance, a technique that uses machine learning (ML) and artificial inte

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04 May 20232 min read

Boosting Big Data Analytics with Dask and RAPIDS

Introduction In today's data-driven world, organizations are dealing with increasingly massive datasets, requiring powerful tools to efficiently process and analyze them. Traditional data analytics frameworks may struggle to handle such large-scale data. However, by combining Dask and RAPIDS, data scientists and analysts can unlock the potential for accelerated big data analytics. In this article, we will explore how Dask and RAPIDS can revolutionize your data analytics workflow. Understandi

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