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... 52:43
DAY-3 | AI Assisted DevOps | Gen-AI Project For DevOps Engineers

Abhishek.Veeramalla

1+ months ago 4K views

The video presents the third episode of the AI-assisted DevOps series, focusing on creating a generative AI project for generating Docker files. It explores how DevOps engineers can automate the creation of Docker files for various programming languages including Java, Rust, and Ruby on Rails by writing a Python script powered by large language models (LLMs). It compares local LLMs with hosted solutions, highlights the setup process, and discusses the implications of using generative AI in real-world development environments, such as considerations for security and cost-efficiency.
11:31 - 11:51

Covers potential security risks when using hosted LLMs.

Machine Learning Education
... 16:49
Create Your Own Private Local AI Cloud Stack in Under 20 Minutes

Cole Medin

1+ months ago 9K views

Deploying local AI setups to cloud instances provides flexibility and scalability without compromising privacy. The process involves using a comprehensive package that includes various services like LLMs and automation tools. Special attention is given to maintaining secure endpoints through HTTPS, facilitating access for internal teams. The tutorial guides users through the setup process step-by-step, focusing on firewall configurations and DNS records to ensure smooth operation. By utilizing Digital Ocean, users gain access to cost-effective CPU instances suitable for most AI applications, while also addressing considerations for using larger models requiring dedicated GPUs.
02:59 - 03:15

Digital Ocean provides affordable options for CPU instances, ideal for local AI.

AI cloud services Tech & Hardware
... 11:11
Data Centers in 2025: The Powerhouses Fueling AI & The Cloud!

ByteMonk

1+ months ago 1K views

Data centers are specialized facilities that store, manage, and process vast amounts of information, relying on servers connected by high-speed networking. Companies use data centers to keep critical applications operational, evolving from traditional setups to hyperscale cloud models. The video explores the challenges of managing data centers, comparing them to cloud providers like AWS, GCP, and Azure. These modern providers facilitate machine learning and AI services, emphasizing how data centers impact technology and business landscapes ethically and environmentally, shaping the future of innovation with scalable, efficient infrastructure.
08:52 - 09:13

AI workloads demand significant energy, pushing the need for efficient and renewable solutions.

AI cloud services Tech & Hardware
... 5:29
AI took over my AWS

SST

1+ months ago 2K views

Integrating AI into infrastructure and codebase enables querying data effortlessly. Using OpenControl, AI assists in managing AWS resources and customer subscriptions effectively. Simple commands allow users to check billing details, customer statuses in Stripe, and make changes directly through AI. With Claude running locally, the setup securely accesses data and performs tasks while allowing for extensibility, enabling users to create custom tools. OpenControl aims to simplify AI interactions in applications with planned features for better UI and user interfaces for customer requests, enhancing overall productivity in application management.
02:25 - 03:15

Claude Code interacts securely with AWS through the OpenControl API.

AWS AI cloud services Tech & Hardware
... 4:6
Groq AI Weekly - Week 10

Groq

1+ months ago 2K views

A significant milestone has been reached with 1 million developers participating in building applications on the Grok platform. Recently launched advancements include the QWQ 32B reasoning model, which can be tested on Grok Cloud. The updated console enhances user experience with improved toggling between chat and studio modes, and new features for monitoring metrics and managing API keys. A successful webinar reviewed AI Agent deployment and security, while a popular guide on winning hackathons offers insights from experienced developers. Recent hackathon winners showcased impressive projects, reflecting the platform's capabilities and fostering community engagement.
02:11 - 02:26

Webinar on AI Agents discussed deployment, security, and included live demos.

Groq AI cloud services AI Startups
... 5:7
Building AI platforms on Vercel

Vercel

1+ months ago 3K views

Building an app for users to deploy their own applications can enhance user experience. The process involves streaming build logs and providing real-time progress updates. New templates are available, enabling deployment of various frameworks and personal file uploads. Using APIs can simplify obtaining a deployable URL for shared use. Claimable deployments let users easily take ownership of their projects, allowing for seamless integration into existing team infrastructures. Open source templates facilitate user customization and AI integrations, such as code generation and chat interfaces, streamlining deployment workflows and improving accessibility for developers and users alike.
04:51 - 05:02

Users can deploy custom applications and AI agents via an intuitive interface.

Vercel AI cloud services Tech & Hardware
... 15:48
Trey Layton, Penguin Solutions | Mastering AI: The New Infrastructure Rules

SiliconANGLE theCUBE

1+ months ago 2K views

Enterprises face challenges in deploying AI due to siloed infrastructures and the need for integrated systems. Achieving peak performance requires environments engineered for parallel processing and optimized workflows while addressing security and operational excellence. The introduction of software tools like Ice Clusterware facilitates automated provisioning and predictive analysis for failures in AI environments, enabling organizations to handle the complexities of large-scale deployments. This context highlights an evolving landscape where traditional IT metrics need reevaluation, focusing on real-time processing and responsiveness to ensure reliability and future-proofing in AI workloads.
04:43 - 04:43

The need for predictive failure analysis in AI systems is crucial.

Penguin Solutions AI cloud services Tech & Hardware
... 24:20
Build an AI Assistant with CopilotKit: Transform Your Todo App into a SMART Companion

Atef Ataya

1+ months ago 3K views

Kilot Kit revolutionizes app development by enabling AI integrations that automate tasks and manage user requests without a heavy backend framework. Developers can create intelligent applications that understand context and respond to user queries swiftly. The toolkit simplifies AI deployment through various components like chat interfaces and action handlers, significantly reducing development time. With minimal code, developers can integrate AI directly into their projects, enhancing user experience and operational efficiency. This tutorial provides a step-by-step guide on implementing Kilot Kit, showcasing its features and ease of use for creating responsive AI assistants.
01:51 - 01:54

Implementation of Kilot Kit enables quick AI assistant setup without expertise.

Chatbots Education
... 24:20
Build an AI Assistant with CopilotKit: Transform Your Todo App into a SMART Companion

Atef Ataya

1+ months ago 3K views

Kilot Kit revolutionizes app development by enabling AI integrations that automate tasks and manage user requests without a heavy backend framework. Developers can create intelligent applications that understand context and respond to user queries swiftly. The toolkit simplifies AI deployment through various components like chat interfaces and action handlers, significantly reducing development time. With minimal code, developers can integrate AI directly into their projects, enhancing user experience and operational efficiency. This tutorial provides a step-by-step guide on implementing Kilot Kit, showcasing its features and ease of use for creating responsive AI assistants.
01:51 - 01:54

Implementation of Kilot Kit enables quick AI assistant setup without expertise.

Chatbots Education