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Microsoft Flight Simulator 2024 needs 64GB of RAM for ‘ideal’ specs

Microsoft Flight Simulator 2024 requires 64GB of RAM for 'ideal' system requirements.
The game can scale down to a GTX 970 and up to an RTX 4080.
The RAM requirement is due to the game's ability to stream real-time photogrammetry of cities.
The game also offers improved detail and decreased download size compared to previous versions.

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Pymnts

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Making Sense of the Great ERP System Cloud Migration

Enterprise resource planning (ERP) systems are becoming even more intelligent, interconnected and indispensable to modern businesses that decide to migrate their back-office operations to the cloud.
Businesses are increasingly moving away from on-premises solutions in favor of cloud-based platforms.
For the first two decades of the 21st century, ERP was among the categories of enterprise software stuck in the past.
Cloud models shifts ERP from a capital expense (CapEx) to an operational expense (OpEx), offering greater flexibility, especially for small and medium-sized businesses (SMBs) that may lack the financial resources to invest heavily in on-premises infrastructure.
Traditional onsite ERP systems require substantial capital expenditure, as businesses need to purchase expensive hardware, license software and employ IT staff to maintain and upgrade the system.
The modern business environment demands real-time access to data for informed decision-making.
As with any major IT transformation, migrating to cloud ERP requires significant change management efforts.
Employees must be trained on the new system, and the organization’s workflows may need to be adjusted to accommodate the new platform.
One of the most exciting developments in cloud ERP is the integration of artificial intelligence (AI) and machine learning.
ERP modernizations empower businesses to stay agile and competitive.

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Tech Radar

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Microsoft Edge could soon tell you which browser extensions are dragging you down – and let you speed things up with a click

Microsoft Edge is testing a feature called 'extension performance detector' that warns users if any browser extensions are slowing down the browser over time.
The feature notifies users of the slowdown caused by each extension and allows them to disable the extensions directly in the notification to improve browser performance.
Browser extensions are add-ons that provide additional features to Edge, but some can malfunction and hamper performance.
The 'extension performance detector' is currently available in the Canary build of Edge and is expected to be included in the stable version in the future.

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Tech Radar

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AMD’s incoming flagship laptop CPUs could be called Ryzen AI Max, and might be astonishingly fast – we’re just worried about the price

AMD’s Strix Point Halo chips details have been leaked and the configurations and name of these CPUs have been revealed.
The CPUs have been built mainly for proper gaming drivers and might work with handheld devices as well.
The CPUs might be named Ryzen AI Max 300 but there is no official confirmation from the company.
The flagship CPUs might be Ryzen AI Max+ 395 with 16-cores and 40 Compute Units (RDNA 3.5 graphics).
Support for up to 96GB of video memory with Strix Halo is expected to target the notebook workstation market with the chip, not just gaming laptops.
Pricing for Strix Point chips is rumored to be twice as much, causing GPD to scaled back to keep costs of laptop bill-of-materials to a reasonable level.
If Strix Point chips are expensive, what sort of financial toll will Strix Halo exact? This is fueling fears that Halo will be prohibitively expensive.
The integrated RDNA 3.5 graphics on Strix Halo is speedy and supercharged but laptop makers are concerned with the price of the upcoming chip.
We can’t get too carried away with rumors, but there is now a concern around the future of handhelds pepped up by Strix Halo and how expensive this silicon might make thin-and-light gaming laptops.
It is clear that the CPUs will be powerful, but the concern is whether its pricing will be too high and the resulting financial toll for users.

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Digitaltrends

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AMD Strix Halo might give gaming handhelds a major boost

The upcoming AMD Strix Halo APU lineup is rumored to offer up to 40 RDNA 3.5 CUs and support up to 96GB of video memory.
These specs make it a promising option for gaming handhelds and mobile workstations.
The Ryzen AI Max+ 395 is the flagship variant with 16 cores and 40 CUs, while the Ryzen AI Max 390 and Ryzen AI Max 385 have 12 and 8 cores respectively.
The increased CUs compared to the previous generation will allow AMD to compete against Apple and Intel in both gaming handhelds and workstation laptops.

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Dev

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Terraform Modules and Workspaces: Techniques for Modular and Scalable Infrastructure in AWS

Terraform module is reusable block that reduces complexity and repetition for code organization in terms of breaking down complex infrastructure.
Creating reusable and parameterised modules, managing dependencies between them and utilising workspaces can streamline your complex infrastructure.
Modules are being used mostly to reduce complexity and repetition and they improve consistency by applying exact same configuration across environments.
When deploying resources to development and production environments you can achieve greater flexibility by separating variables for workspaces and environments.
Terraform manages dependencies based on references between resources that allow you to deploy stable configurations while allowing updates when needed.
Workspace is used for managing different parts of your project by allowing you to have multiple state files within same Terraform configuration.
Isolation and full state is ensured with Terraform workspaces meaning all resources are deployed in same account but with separated state files.
Terraform is capable of simplifying the process of managing infrastructure by using modules and workspaces that allow you to build modular, reusable and scalable infrastructure.
Using tfvars files in combination with workspaces is the best way to manage infrastructure dynamically based on different scenarios.
Terraform modules and workspaces are powerful features that help you streamline and manage scalable infrastructure for AWS.

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Tech Radar

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Keen for the MacBook Air M4? Good news – it might turn up earlier than we thought in 2025

The MacBook Air with M4 CPU might be released in early 2025.
Panel shipments for the MacBook Air M4 are expected to start in October.
Apple plans to debut the MacBook Air M4 refreshes in Q1 2025, possibly in March.
Low-end iPad (10.9-inch) display shipments will also begin in October.

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Dev

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How MX is Leveraging OpenNebula to Empower Financial Technology

MX, a financial technology company, leverages OpenNebula to support its operations.
OpenNebula's seamless integration and customization capabilities are crucial for MX's operations.
MX automates VM provisioning and management using Ruby scripts and Ansible.
OpenNebula's metrics and monitoring tools help MX with capacity planning and hardware upgrades.

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Tech Radar

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Stop Snapchat using your new AI Selfie in ads by turning off this one setting

Snapchat's newly-announced AI Creative Tools now include the ability to create AI Selfies.
The setting for Snapchat to use your AI Selfie in adverts is turned on by default, prompting concerns about data security.
Snapchat reassures that advertisers do not have access to Snapchatters' Gen AI data or private data.
To turn off the ability for Snapchat to use your AI Selfie image in ads, navigate to settings and toggle off the relevant option.

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Javacodegeeks

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Message Conversion in Spring Cloud AWS v3

Message conversion in Spring Cloud AWS v3 simplifies the integration of AWS services like SQS, SNS, and more in Spring Boot applications.
To start with Spring Cloud AWS v3, add the necessary dependencies to pom.xml.
Setting up a local test environment can be done using tools like LocalStack.
Spring Cloud AWS v3 provides support for processing POJOs and records, configuring custom object mappers, and deserializing to subclass or interface implementations.

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Dev

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Sample python script: using Text-Bison model via Azure OpenAI

To use the Text-Bison model via Azure OpenAI, you need to set up your Azure account and configure the necessary resources.
Install the required libraries, such as requests, via pip.
Create a function to generate text by sending a POST request to the Text-Bison model deployment.
Execute the script by providing a prompt and printing the generated text.

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Global Fintech Series

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Participate Partners with nCino to Help Financial Institutions Streamline Loan Participations and Syndications

Participate and nCino have partnered to offer financial institutions an integrated, automated solution for managing loan participations and syndications.
The partnership enables nCino to create an integration between Participate and the nCino Platform, streamlining the loan participations process.
Financial institutions using the nCino Commercial Banking Solution will have access to a digital loan marketplace, automating transfers, workflow, and post-sale activities.
Participate eliminates spreadsheets, errors, and inadequate core functionality, providing real-time access and automating loan management processes.

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TechBullion

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D-Wave Partners with Staque to Increase Quantum Computing Adoption in the Middle East

D-Wave has partnered with Staque to increase quantum computing adoption in the Middle East.
The partnership aims to promote the commercial adoption of annealing quantum computing across the region.
Staque plans to utilize D-Wave's quantum computers for addressing complex challenges such as supply chain management and portfolio optimization.
The collaboration between D-Wave and Staque is driven by the shared commitment to redefine what's possible with advanced technology solutions.

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Tech Radar

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Amazon's new AI feature might be your secret weapon for winning at Prime Day

Amazon is introducing a new AI feature to enhance shopping personalization for customers.
The feature utilizes large language models (LLMs) to match individual preferences and provide more relevant product information.
Customers will receive personalized recommendations based on specific details of their searches and purchase history.
Amazon plans to expand the customization to pull data from sources like Gmail and YouTube Music in the future.

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Dev

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Automating Builds for Different Languages in Azure DevOps

Automating builds is crucial for maintaining efficient workflows and delivering high-quality code.
Azure DevOps offers extensive support for automating builds across different programming languages.
Benefits of automating builds include increasing consistency, speed, early detection of issues, and scalability.
The first step in automating builds is to create a new project in Azure DevOps and set up a repository.
Azure DevOps Pipelines allow you to automate the process of building, testing, and deploying your code.
To create a pipeline that supports different programming languages, you can choose a template or start with an empty job and configure the steps manually.
Customizing the pipeline based on the specific needs of your project is key to multi-language builds in Azure DevOps.
Once your pipeline is configured, save and run the pipeline. You can monitor the build progress directly from the Azure DevOps dashboard.
Best practices for build automation include using branch triggers, setting up parallel builds, and caching dependencies.
Azure DevOps makes automating builds for different languages seamless and powerful, ensuring consistent, efficient, and scalable builds regardless of the programming languages involved.

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