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OpenAI To Release Open-Weight AI Model

OpenAI is set to release an open-weight AI model as it faces pressure from rivals that offer more customization options.
Open-weight models allow users to customize the weights and relationships among parameters, providing more visibility and control.
The upcoming open-weight model from OpenAI will also have reasoning capabilities to improve output accuracy.
OpenAI is conducting testing to prevent the model from being used for harmful purposes.

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Siliconangle

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Red Hat Expands yes Internal Developer Portal Tools and AI-Powered Modernization Updates

IBM's Red Hat subsidiary announces updates to the Developer Hub and new features for the Konveyor AI application modernization project.
Release 1.5 of Developer Hub includes Adoption Insights, an analytical dashboard that provides metrics to help organizations identify areas of success and support needs.
A new Extensions Catalog offers access to over 60 plugins, enabling customization of the Developer Hub without the need for rebuilding or redeploying.
The Konveyor AI project integrates generative AI with static code analysis to simplify modernization tasks, including flagging issues and providing code change suggestions.

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Siliconangle

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Red Hat expands internal developer portal tools and AI-powered modernization updates

Red Hat announces updates to its Developer Hub and new features for the Konveyor AI application modernization project.
Release 1.5 of Developer Hub includes Adoption Insights, an analytical dashboard that helps organizations identify areas where developers may require additional support or new features.
A new Extensions Catalog offers access to more than 60 plugins for customizing Developer Hub, and a self-contained version called RHDH Local enables platform engineers to test and customize the portal without installing it on a Kubernetes cluster.
Konveyor AI integrates generative artificial intelligence with static code analysis to simplify application modernization, and includes enhancements such as static code analysis and a Visual Studio code extension for code change suggestions.

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Medium

418

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Testing DynamoDB with Cypress: Ensuring Data Integrity in Your Applications

DynamoDB is a serverless NoSQL database offered by Amazon Web Services (AWS) with high performance and availability.
Testing DynamoDB data is important in scenarios like UI automation or API testing.
To use DynamoDB with Cypress, you need to install AWS SDK and configure AWS IAM user credentials.
By creating a custom command in Cypress, you can perform DynamoDB queries as part of your tests.

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Medium

257

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My First Week as a Cloud Engineer Academy Student: A Journey to be a Cloud Engineer

I just finished my first week at Cloud Engineer Academy and am knee-deep in cloud fundamentals, networking, and operating systems.
What I Learned This Week: Cloud Fundamentals, Networking Basics, Operating Systems & CLI Power.
The importance of databases in today's data-driven world and their role in managing, storing, and retrieving information.
Projects: 'Am I Online?' to discover public and private IPs, and 'Tracing My Internet Journey' using traceroute.

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Silicon

366

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Samsung AI Fridge Creates Shopping Lists, Adjusts AC

Samsung Electronics has introduced fridges with generative AI capabilities.
The flagship Bespoke French-Door four-door refrigerator features internal sensors and a display.
The AI fridge can create shopping lists, locate misplaced phones, and adjust home appliances.
AI integration in Samsung's home appliances is expected to boost sales this year.

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Digitaltrends

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New teaser hints at upcoming Asus and Xbox collaboration

Asus hints at collaboration with Xbox, leading to speculation about a potential new handheld gaming device.
Teaser video suggests an Asus ROG Ally-style handheld with Xbox integration, featuring LED-lit analog sticks.
Partnership could lead to better software optimization, exclusive features, or a dedicated Xbox handheld.
Official announcement yet to be made, but the prospect of a portable Xbox gaming experience generates buzz.

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Medium

The Impact of 5G Technology on Cloud Computing Performance

5G technology significantly reduces latency, benefitting cloud computing applications requiring real-time responses such as medical monitoring, financial transactions, and gaming.
In healthcare, 5G-powered cloud computing enables remote surgical procedures in real-time, enhancing access to quality medical care.
5G's increased bandwidth supports seamless cloud services, particularly for SaaS and PaaS businesses, allowing multiple device connectivity without interruptions.
AI-powered software utilizing cloud computing can process vast data volumes quickly with 5G, beneficial for professionals and students in cloud computing.
5G enhances edge computing efficiency by handling data closer to the source, benefiting sectors like smart cities and creating opportunities for IT professionals.
The automotive industry leverages cloud-based technology supported by 5G for real-time communications in autonomous vehicles, reducing the risk of incidents.
IoT devices become more efficient with 5G, enhancing energy consumption and efficiency, while cloud computing aids in data storage and analysis for various industries.
5G-powered cloud computing enables practical online collaborative work, benefiting remote working scenarios with seamless connectivity and real-time tools.
While 5G offers transformative benefits to cloud computing, challenges like security, infrastructure costs, and device compatibility need to be addressed for its full potential.
Professionals in cloud computing can gain significant advantages through 5G-powered cloud structures, positioning themselves for success in an evolving industry.
Understanding the implications of 5G on cloud computing can unlock opportunities for professionals and businesses, emphasizing the need for continuous learning and skill development.

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Medium

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Edge Computing vs Cloud Computing: What’s Best for Your Business?

Edge computing processes data closer to the source, reducing latency and bandwidth use.
Cloud computing involves storing and processing information on remote servers, offering scalability and flexibility.
Edge computing is faster and more suitable for real-time applications, while cloud computing may introduce latency.
Edge computing keeps sensitive data close to the source, potentially reducing the risk of large-scale data breaches.

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Medium

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Convert Azure Kubernetes Services from Public Cluster to Private Cluster using Terraform

Azure Kubernetes Services Cluster can be converted from Public Cluster to Private Cluster using Terraform.
The official AzureRM Terraform Resource Provider has been updated to support the conversion from Public to Private Cluster.
The process involves registering the required resource provider, creating necessary subnets and DNS zones, and integrating the AKS API Server with the private subnet.
After the conversion, the AKS Cluster becomes fully private and new DNS records are created in the private DNS zone.

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Medium

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The Importance of Industrial-Grade Components in Edge and Cloud Computing

Cloud computing provides large-scale data storage, analysis, and AI model training capabilities, suitable for long-term data storage and global accessibility.
Edge computing reduces latency, bandwidth costs, and enhances security by processing data near its source, suitable for real-time responses and industrial monitoring.
Industrial-grade components, like Cervoz's storage solutions and embedded products, play a critical role in meeting the requirements of edge and cloud computing.
Cervoz's industrial-grade components offer durability, stability, high-speed performance, reliability, and security for edge and cloud computing applications.

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Siliconangle

331

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LoftLabs launches vNode to enhance secure workload isolation in Kubernetes

Kubernetes virtualization startup LoftLabs Inc. has launched vNode, a new service that introduces lightweight node-level virtualization to provide secure workload isolation in shared Kubernetes infrastructure.
vNode complements LoftLabs' vCluster, allowing platform teams to virtualize Kubernetes nodes and achieve stricter multi-tenancy on the node level.
vNode enforces strict isolation within shared nodes, ensuring high security and low overhead, by introducing a lightweight virtualization layer.
LoftLabs also announced new features for its vCluster service, including Snapshot & Restore and open-source integration with Rancher.

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Medium

284

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Expert Cloud Computing Solutions in Hyderabad — Synycs Group

Synycs Group offers expert cloud computing solutions in Hyderabad.
They help organizations migrate to leading cloud platforms like AWS, Microsoft Azure, and Google Cloud with minimal disruption.
Their managed cloud services include monitoring, maintenance, and optimization to support business growth.
Synycs Group ensures cloud security and compliance, with a focus on safeguarding critical business data.

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Medium

226

How to Start a Career in Cloud Computing: A Beginner’s Guide

Cloud computing is a crucial skill for IT professionals, as it powers various technologies and services.
To start a career in cloud computing, it is important to understand fundamental concepts and have programming skills.
Practicing on free-tier accounts and earning certifications can enhance job prospects in this field.
Getting practical experience and networking with industry experts are also valuable in building a career in cloud computing.

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Dev

379

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Fixing Your Redshift Vacuum to Optimize your Query Performance

Long running vacuums in Redshift can slow down queries significantly, impacting ETL jobs and analytical queries.
Vacuum is an I/O intensive process that sorts tables and reclaims disk space, affecting other processes.
Tips to optimize vacuum time include using sortkeys, distkeys, and following specific vacuum strategies.
Vacuum includes steps like sorting tables and reclaiming disk blocks, crucial for performance.
Inserting data in sortkey order reduces the need for extensive merging during vacuum.
Compression encodings like Zstandard provide disk space savings and faster query performance.
Consider deep copying instead of vacuuming for tables with large unsorted sections.
Analyze after vacuuming to update query planner stats for improved performance.
Push vacuum to 99% on large tables with low daily insert volume to optimize performance.
Keeping tables skinny by removing unused columns can improve vacuum and query performance.

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