Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest A Cloud Guru AI Videos

Find the latest for A Cloud Guru company videos

Follow
... 47:10
My Mission is to Save the Future of AI (by solving its biggest crisis) - io.net CEO | DROPS E2

When Shift Happens

1+ months ago 1K views

Building the world's largest AI compute cloud involves offering a better, faster, and cheaper alternative to traditional cloud services. This ambition is driven by an understanding that the AI field faces a significant shortage of computational resources. Drawing from personal experiences and principles learned at West Point, the focus is on effective leadership, empowering teams, and fostering a culture of innovation. The vision includes integrating decentralized AI computing resources using both underutilized GPUs and consumer devices to meet the growing demand for AI processing power.
02:41 - 02:53

Leadership principles from West Point emphasize servant leadership and team empowerment.

IO.net AI cloud services AI Startups
... 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
... 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
... 19:19
Ep. 35 Is Agentic AI Hurting Large Cloud Providers? | AI Insights & Innovation

SiliconANGLE theCUBE

1+ months ago 3K views

Agentic AI systems are autonomous, goal-driven technologies that optimize processes with minimal input, posing challenges for public cloud providers reliant on resource-intensive infrastructure. As enterprises adopt these systems, demand for high-end compute and data storage may decline, shifting preferences toward localized processing and smaller data footprints. The trend leans toward self-sufficient, cost-effective autonomous systems, diminishing cloud dependence, while maintaining flexibility in environments like edge computing. Thus, public cloud providers must adapt to remain relevant in a landscape increasingly favoring Agentic AI's efficiency and lower operational costs.
02:21 - 02:35

Localized processing enables Agentic AI to operate independently of cloud systems.

AI cloud services Research & Innovations
... 10:54
Claude Code: NEW Agentic AI Coder By Anthropic! Automate Coding! (Installation Guide)

WorldofAI

1+ months ago 6K views

Anthropic has released its new model, Cloud 3.7 Sonic, which significantly enhances coding performance and excels in reasoning by switching between instant and extended responses. It offers impressive coding capabilities, particularly in web development, achieving high scores on coding benchmarks. Accompanying this release is the new tool Cloud Code, designed to integrate seamlessly into development environments, enabling faster coding through natural language commands. The tool allows users to edit files, fix bugs, and run tests directly from the terminal, streamlining the development process. It empowers users to create applications with more contextual understanding of their code bases.
03:24 - 03:40

Demonstration of installing Cloud Code via command prompt.

Anthropic Machine Learning Tech & Hardware
... 15:35
AI Takeover? Here's What You Should Do

Network Kings

1+ months ago 1K views

Cloud computing and DevOps careers remain relevant in 2025, despite the rise of AI. AI models require substantial infrastructure, often relying on cloud services for efficiency and accessibility. Major cloud providers like AWS and GCP are crucial, with AWS holding a significant market share. To pursue a career in cloud computing, individuals should consider starting with foundational certifications like the AWS Practitioner and progressing to advanced certifications. For aspiring DevOps engineers, a blend of programming skills, particularly in Python, along with knowledge of Linux, networking, and CI/CD tools, is essential for bridging development and operations effectively.
13:37 - 13:43

AI won't fully replace cloud and DevOps roles due to their interconnectedness.

Ethical AI frameworks Education
... 15:35
AI Takeover? Here's What You Should Do

Network Kings

1+ months ago 1K views

Cloud computing and DevOps careers remain relevant in 2025, despite the rise of AI. AI models require substantial infrastructure, often relying on cloud services for efficiency and accessibility. Major cloud providers like AWS and GCP are crucial, with AWS holding a significant market share. To pursue a career in cloud computing, individuals should consider starting with foundational certifications like the AWS Practitioner and progressing to advanced certifications. For aspiring DevOps engineers, a blend of programming skills, particularly in Python, along with knowledge of Linux, networking, and CI/CD tools, is essential for bridging development and operations effectively.
13:37 - 13:43

AI won't fully replace cloud and DevOps roles due to their interconnectedness.

Ethical AI frameworks Education